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As a Cloud Engineer, I have developed and launched innovative cloud products that empower developers to deploy platforms and services seamlessly. My expertise spans cloud-native architectures, AI-driven solutions, and automation, ensuring that deployments are secure, cost-optimized, high-performing, and equipped with robust monitoring, logging, and notification systems. I focus on simplifying cloud complexities, allowing developers to focus on innovation rather than infrastructure management.

Key Areas of Expertise:

AI-Driven Cloud Solutions: Engineered AI-powered data pipelines leveraging AWS Bedrock Knowledge Base, integrating PostgreSQL as a vector database and Redshift for structured data. Designed fully automated workflows that enable users to seamlessly manage unstructured data in S3 and structured data in Redshift, enhancing retrieval, analytics, and AI-driven insights.

Cloud Product Development: Designed and implemented cloud products that support containers, serverless applications, and event-driven workflows, ensuring seamless deployments while handling security, performance, and cost optimization.

Infrastructure as Code (IaC): Automated cloud resource provisioning using CloudFormation and other IaC tools, streamlining infrastructure management.

CI/CD & Automation: Built and managed CI/CD pipelines for Python, Golang, and Java, ensuring smooth build, deployment, and release processes across multiple environments.

Jenkins Pipeline Development: Developed custom Groovy pipelines in Jenkins, optimizing continuous integration and delivery workflows.

Cross-Functional Collaboration: Worked closely with developers to integrate CI/CD workflows and facilitate frictionless cloud deployments.

Associate at AQR Arbitrage

Esme Molinatti

Chris Doheny

Executive Director at AQR Capital Management

John McHugh

Greg Chew

AQR is a global investment management firm dedicated to delivering results for our clients. At the nexus of economics, behavioral finance, data and technology, AQR’s evolution over two decades has been a continuous exploration of what drives markets and how it can be applied to client portfolios. The firm is headquartered in Greenwich, Connecticut, with other locations in Bangaluru, Dubai, Hong Kong, London, Munich and Sydney. Important Notice: Fraudulent Schemes Impersonating AQR, read more here: https://www.aqr.com/Important-Notice Read important disclosures at https://www.aqr.com/social-media-disclaimers

AQR develops inventive practical investment strategies and customized solutions.

We're excited that AQR has been recognized as one of Pensions & Investments’ Best Places to Work in Money Management for 2024! This marks the eighth consecutive year that the firm has received this distinction. The recognition in P&I is always meaningful to us because it is the direct result of employees sharing why AQR is such a special place to work, so thank you to all our employees. Read P&I's profile of the firm after the link: https://bit.ly/3ZVR9o7

AQR Capital Management

Equity valuations matter (eventually). While equity valuations have continued to rise from already-stretched levels and recent strong stock returns have bolstered many investor portfolios, the future may not be as bright. We have written extensively on the challenges of an expensive market, with one key finding being the inverse relationship between Shiller P/E (today's price divided by average real earnings over the past decade) and next 10-year equity market returns. As of October 2024, the P/E for U.S. stocks of 37 sits at its third highest level ever (behind the Tech Bubble's peak of 46 and the pre-crash peak of 40 at the end of 2021). At a current P/E ratio of 37, the U.S. market is well within the highest decile of Shiller P/E ever realized, implying lower equity returns over the next decade. Given this market backdrop, investors may need to revisit their strategic asset allocations and consider seeking return sources beyond traditional markets. In a low return environment, adding liquid alternatives to their portfolios may offer investors better diversification and potential returns.

In the second issue of our 2024 Alternative Thinking series, we showed that machine learning techniques can be used to help improve market timing strategies. In this issue, we extend these concepts to constructing stock selection strategies following a similar framework. Our results indicate more complex models utilizing machine learning techniques yield performance improvements relative to a simple, linear approach in the range of 50-100% (see the paper for more information), suggesting that machine learning can help to build better stock selection portfolios: https://bit.ly/4hZRvkS

The recent rise and fall of SPAC issuance and the poor returns of SPAC mergers might suggest that SPACs are a flash in the pan, but this is far from the truth. To the contrary, SPACs have been a compelling asset class for more than two decades. In this paper, the AQR Arbitrage team assesses the SPAC market, its history, and its investment characteristics, including why we believe SPACs are a safe investment when managed properly, with the potential for significant upside: https://bit.ly/4fkobUs

Suppose a real estate investor is planning to sell a property that she has held for many years. Due to accumulated depreciation, the property's adjusted basis has significantly decreased. The same investor also has some realized losses on stocks. Could the investor use those losses to offset some of the gains from the sale? Our latest Tax Matters delves into this scenario: https://bit.ly/3YZaAfm

A recent post from AQR founder Cliff Asness argues that good higher-volatility alternative investments, which are indeed often very hard to stick with, can be important tools in constructing the best overall portfolio. Cliff thinks if (a big if) investors can stick with them, they are often a more effective tool than their lower-volatility cousins. Basically, he thinks they are underutilized. Read the full post: https://bit.ly/3Uj75xG

Investors have a range of tax-aware strategies to choose from, and we expect their choices to continue growing with time. Choosing among strategies is never easy, but, when it comes to anything tax-related, there’s a simple test that can be applied to separate the wheat from the chaff: Does the strategy with beneficial tax attributes make sense before tax? Read our latest Tax Matters for more: https://bit.ly/3Yv07Iz

Our latest Quick Take video covers the potential benefits of a portable alpha approach over traditional long-only active management The key takeaways: - Long-only active equity has been challenging; and -Portable Alpha may incorporate more alpha into an investors’ equity allocation

Have recent bouts of market volatility just been blips? In a recent CNBC interview, Jordan Brooks, AQR Principal and Co-Head of the Macro Strategies Group, discussed the elevated level of macroeconomic uncertainty, why it may lead to more market volatility ahead, and how diversifying liquid alternatives can help investors’ build portfolios that are more resilient to macro risks. Watch a clip of the interview after the link: https://bit.ly/4h8sDXK

As stock market valuations rise, investors should expect lower-than-average equity returns. Some may consider adding active management to the mix, but evidence supporting active long-only equities has long been underwhelming. We review an alternative approach – portable alpha – which we believe could provide investors with a simple way to add diversified, higher quality alpha to long-only mandates: https://bit.ly/3YhvUfU

Computer Networking Products

Cisco Networking Academy

IT Services and IT Consulting

Cisco Security

Cisco Networking

Cisco Learning & Certifications

Software Development

Cisco Meraki

Cisco Data Center and Cloud

Telecommunications

Webex

Cisco Community

Cisco Industrial IoT

Computer and Network Security

Duo Security

Cisco Service Provider

Cisco ThousandEyes

Outshift by Cisco

Cisco Partners

Information Technology & Services

Cisco Cloud

Cisco Umbrella

Cisco for Startups

Connected Futures

Financial Services

Cisco Capital

Cisco Insider

Cisco RG Israel LTD (formerly Jungo Ltd.)

TIBCO Data Fabric

Ubiquisys - Now Part of Cisco

Cisco Venture Labs

Cisco Small & Medium Business

JouleX

Banzai Cloud

Cisco

Accenture

Amazon

Microsoft

Information Technology

Engineering

Operations

Business Development

Education

Computer Systems Networking and Telecommunications

Computer Science

Computer and Information Systems Security/Information Assurance

COMPUTER AND INFORMATION SCIENCES AND SUPPORT SERVICES

As a Software Engineer at Cisco, I was responsible for performing Data Ingestion and Data Processing on the Cisco Data lake project. My key responsibilities included handling the ingestion of data from different data sources such as S3, API-ingestion, Snowflake, and Kafka. I used my expertise in Golang, Python, Bash, AWS, Serverless, Infrastructure as Code (IaC), and CI/CD to complete my tasks.

I implemented AWS Step Functions to automate the ingestion and processing of related tasks such as ingesting data, publishing data to S3, and processing data using ECS Fargate and Lambda. I played a critical role in ensuring that the project was delivered on time and within the allocated budget.

In addition to my core responsibilities, I was involved in architecting, designing, implementing, and supporting cloud-based infrastructure and solutions. I also had extensive knowledge of serverless frameworks and best practices with Golang and Python. I always stayed ahead of the newest open-source tools that could be implemented to create efficiency and understand that many processes can be automated.

I had a strong understanding of DevOps and created and maintained jobs in CI/CD environments using AWS resources. I had experience in Terraform and CloudFormation templates to automate the creation, destruction, and updates to AWS resources used in the project.

Throughout my time at Cisco, I leveraged my experience in event-driven and scheduled AWS Lambda functions to trigger various AWS resources. I was able to effectively perform Data Ingestion, Data Processing (Transformations, Enrichment, and aggregation), and support cloud-based infrastructure and solutions.

Praveen Sankaran

Sandhya Vissamsetti

Vijay Bisamala

Business Operations manager - Quality & Risk management

Shilpa Shivrudra

InnoVen Capital

Cisco CloudCenter (formerly CliQr)

To our trusted followers—we are no longer using this account. Please follow Cisco Cloud . See you there!

As a Sr. DevOps Engineer, my primary responsibility was to deal with automation, infrastructure planning, integrations, and building secure software from scratch. I developed a RESTful service using the Python Flask framework and created an entire frontend API and backend modules using Python on the Flask framework for microservices. Additionally, I had hands-on experience designing automation workflows that were initiated manually with Python scripts and Unix shell scripting.

I also developed a microservice to communicate with AWS IoT core using Python on Flask, IoT SDK, boto3, and other frameworks. I created Docker images and helm charts for microservices to orchestrate applications using Kubernetes. In terms of Bash scripting, I developed automation solutions leveraging shell scripts to increase operational efficiency. I also worked on designing, implementing, and maintaining build activity, CI/CD Linux GUI programs (DIALOG), and Jenkins build jobs.

Furthermore, I have experience in Kubernetes application deployment, administration, and hardening using tools such as Kubeadm, K3s, Kubespray, Microk8s, Rancher, and Helm. I also have experience in automation and CI/CD, working with Ansible, Jenkins, Git, Bitbucket, Terraform, Docker, and Containerd.

Finally, I have extensive experience managing platforms on both AWS and VMware, as well as in Linux administration and platform hardening.

IBM Consulting

IBM Hybrid Cloud and Infrastructure

IBM Data, AI & Automation

IBM watsonx

Research Services

IBM Research

IBM Quantum

IBM Developer

IBM Alumni

Think Tanks

IBM Institute for Business Value

Technology, Information and Internet

IBM Industry Insider

IBM Partner Plus

Indian Bank

Axis Bank

Canara Bank

State Bank of India

HDFC Bank

Finance

Research

Sales

Accounting

Banking and Financial Support Services

Credit Management

Finance and Financial Management Services

Finance, General

Economics

As a System Management Specaialist, I specialize in Kubernetes-based platform design, infrastructure implementation automation, and deployment. My proficiency lies in Kubernetes, Docker, Linux, Git, Nagios, load balancing, AWS, Helm, and Ansible.

In terms of containerization and virtualization, I have implemented a production-ready, load-balanced, and highly available Kubernetes infrastructure. I am experienced in writing manifest files using YAML and managing configuration objects. I am also skilled in observability and designing pod readiness and liveness probes, container logging, monitoring and debugging applications, labels, selectors, annotations, rolling updates, rollbacks, and creating dynamic routing/load balancing capability enabling large application scaling. I have used ingress rules and Ingress Controllers such as Nginx and MetalLB. Additionally, I am experienced in cluster maintenance, backup and recovery (ETCD), patching, security, persistent storage, security (authentication & authorization), networking, and troubleshooting.

My experience in Linux and AWS administration includes providing operations and maintenance support for AWS cloud resources such as launching, maintaining, and troubleshooting EC2 instances, S3 buckets, Virtual Private Clouds (VPC), Elastic Load Balancers (ELB), Relational Database Services (RDS), Backups, Route53, CloudWatch, and IAM. I am also skilled in user management & administration and file system management, including managing partitions, file systems, and LVM, extending/reducing the size of a logical volume, and configuring servers with Nagios XI and CloudWatch monitoring to monitor the performance metrics of production servers. Additionally, I possess excellent skills in analyzing, designing, implementing, and system integration. I am an expert in configuring, installing, and managing web hosting servers and SSL.

DevSecOps Developer at IBM

Guy DuBoice

John Naar

Mohan Babu

Infrastructure Specialist

DelRease Benjamin

Berkshire Hathaway

ChinaVest

VIMAC Ventures

Innoventures

Payden & Rygel

TechAlliance

Runway

McLean Watson Venture Capital

Tekcapital

Sippl Investments

SMB Capital Partners

Responsible Solutions

Lanai Partners

Opportunity Calgary Investment Fund

ScOp Venture Capital

Provider of enterprise collaboration services

Palo Alto Networks

We’ve partnered with Palo Alto Networks to simplify security operations, prevent threats at scale, and help organizations migrate to smarter platforms with advanced Security Operations Centers (SOCs) that detect and respond to threats faster. Clemencia ‘Cleo’ Cueva Clarke shares how this alliance is shaping the future of #cybersecurity ⤵

IBM Security

Our 2024 cybersecurity roundup summarizes key data breach stories and trends from this year—along with takeaways to help organizations prepare for 2025: https://ibm.biz/BdGXCk The TLDR: 🏦 Financial firms have faced a surge in data breach costs since the pandemic 📚 Cybersecurity staffing shortages fueled vulnerabilities 💸 The average cost of a data breach has increased year-over-year

#Cloud security risks are evolving, are your defenses ready? Join cybersecurity expert Jeff Crume, PhD, CISSP as he explores insights from the Cloud Threat Landscape Report and shares steps to protect your organization. 📺 Full video here → https://ibm.co/41BlCcz

Jo Peterson

📌 Heard about Autonomous Security for Cloud (ASC), an AI-powered solution from IBM Consulting designed to automate cloud security management and decision-making to help mitigate risk for organizations accelerating their cloud journey on Amazon Web Services (AWS) environments? Well, if your team is looking to: ✅ Harness the power of generative AI to understand clients' security policies and standards using large language models (LLMs) and retrieval-augmented generative (RAG) applications; ✅ Infer AWS native technical controls that apply to an organization's workloads based on the client-chosen regulatory obligations; ✅ Autonomously monitor and deploy cloud security controls to mitigate misconfigurations; and, ✅ Address their non-compliance discrepancies using cloud-native automation Read on! ✅ Learn more here: https://ibm.biz/BdaNGX Cc: IBM Consulting #ConsultingAdvantage #IBM #IBMSponsored

Hackers don’t relent—not even during the holidays. Tune in on Dec. 17th to join the IBM X-Force Cyber Range as they explore how hackers exploit the holiday season and to boost your cyber awareness as the year winds down. 👉 Register here: https://ibm.co/4fcrdZT

🔒 Protect your competitive edge 🛡️ Safeguard critical assets 📊 Mitigate data breach risks Nearly half of breaches expose personal data—putting organizations at risk. Explore the 2024 Cost of a Data Breach report to protect what matters most: https://ibm.co/3VCOgpN

Armand Ruiz

Incredible week at AWS re:Invent with exciting announcements! At IBM, we’re strengthening our collaboration and partnership with AWS to drive innovation and deliver value. Here’s a recap of the key AI announcements: - We’re optimizing our Gen AI technology for AWS environments, including Amazon SageMaker and Amazon Bedrock. - Our IBM Granite models (enterprise-grade foundation models) are now available on Amazon Bedrock and SageMaker JumpStart. - The latest Granite 3.0 models are supported on AWS Inferentia and Trainium-based instances, offering cost-efficient compute options. - we are working on future exploration of watsonx support for Trainium2 for high-performance AI training and inferencing. - IBM watsonx.governance now has improved integrations with Amazon SageMaker for customizable workflows and unified AI model lifecycle governance. - IBM Guardium AI Security is available on AWS Marketplace for discovering, securing, and governing AI deployments, including “shadow AI.” - IBM Instana Generative AI Observability for Amazon Bedrock and SageMaker, optimizing application performance and cloud resource use. - IBM software and consulting offerings are now available through IBM Business Partners on AWS Marketplace in multiple global regions. And this is just to name a few! More details in the official press release: https://lnkd.in/gVB3Pm4n Thanks AWS for the partnership 🥂

Amazon Web Services (AWS)

#GenAI presents significant opportunities - but how can we better protect our innovations from cyber attacks? In this new episode of our #AI in Action podcast, host Albert Lawrence talks with Chris Thompson, Global Head of IBM X-Force Red, and Moumita Saha , Senior Security Architect at Amazon Web Services (AWS) , about what organizations can do to better secure their #AI models: https://ibm.co/3OGlJvQ #AWSreInvent Watch or listen: 📺 – https://ibm.co/4fXlzvY 🎧 – https://ibm.biz/BdaW6q 🍎 – https://ibm.biz/BdaW62

We're proud to announce new partnership milestones with Amazon Web Services (AWS) , combining efforts to deliver #genAI with transparency, security, and trust – including Granite models on Amazon Bedrock and Amazon SageMaker, and enhanced observability with IBM Instana. Learn how these updates are driving generative AI at scale: https://ibm.biz/Bdataw #AWSreInvent

How can #AI accelerate cybersecurity? In the latest episode of Smart Talks with IBM, Malcolm Gladwell sits down with IBM's Jason Kelley and Palo Alto Networks ' SVP and Chief Partnership Officer, Kristy Friedrichs (McBride) to discuss the challenges and opportunities that the rapid development of AI brings to the cybersecurity space. Tune in here: https://ibm.co/40ZPbUZ

Cloud Application Developer at AQR Capital Management | AWS, Python, Golang, IaC, Infra Design | Crafting Cloud Infrastructure Excellence with AWS Automation | Ex- Cisco | Ex- IBM

SK RAJIBUL HUDA