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Quest Software

Zurcher Kantonalbank

Herald Investment Management

Tigerlabs

Allegheny Financial

Arbor Advisors

Aviance Capital Partners

State Street

EuraTechnologies

Geode Capital

Norges Bank

Nuveen

Oppenheimer

Steward Financial

Third Point

Virginia Retirement System

Wealth Enhancement

Arbor Investment Advisors

Thoroughbred Financial

Vulcan Capital

Conestoga Capital Advisors

Hanlon

DPH Ventures

Public Investment Fund

Aspen Vista Capital

Ballast Advisors

ACT Wealth Management

Allied Financial Advisors

Vanderbilt Holdings

Bridges Investment Management

KB Financial

Greyrock Investments

VR Venture Partners

BW Ventures

Knuff

SoftBank Group Corp

Reforged Holdings

Foster Dykema Cabot

Elk River Wealth Management

Cipher International

GreenUp Wealth

Black Capital Investments

Equity West

KPitalism

Digital conglomerate and multinational computer corporation. It is a digital conglomerate and multinational computer corporation that develops, manufactures, licenses supports, and sells computer software, consumer electronics, and personal computers and services. The company offers software products such as Microsoft Windows line of operating systems, Microsoft Office office suite, Internet Explorer (IE) web browser, and Hyper-V virtualization solution. Additionally, it also offers Microsoft Dynamics, an ERP solution, for industries of all sizes. It also offers an 'Xbox' - a gaming console for playing high-density video games. In 2021, the company recorded annual revenues of $184.9B and a net profit of $71.19B.

Digital conglomerate and multinational computer corporation

I am currently working on applying Reinforcement Learning to real-world use cases with the AI team of Hewlett Packard Labs.

Worked on building Question-Answering system for querying large set of documents using latest NLP models like BERT, RoBERTa with multi-stage processing.

Developed an efficient software pipeline for 30x faster processing Dead-pixel detection model on video frames using multi-GPU inference and parallel processing.

Berkshire Hathaway

Carl Icahn

Red Rock Ventures

Quest Ventures

ngn-capital.com

Nobel Investments

Hewlett-Packard is a global IT and services company. The company provides various hardware and software-related solutions to small-medium and large businesses. The product line includes printers, scanners, digital cameras, calculators, PDAs, servers, and computers for personal and workplace. Its enterprise services include HP technology services and enterprise services provisioning enterprise security, storage and networking, and other software services. It also holds a portfolio of software related to business service management, application lifecycle, mobile apps, big data, and analytics. In 2021, the company recorded annual revenues of $64.98B and a net profit of $6.52B

•	Analyzed and visualized order and coupon data for Rakuten’s E-commerce division to understand the user behavior and their coupon usage. Further defined and predicted greedy customers with detailed discussion with the Business team to curate a list of customers with specialized coupons. 
•	Developed cross validated Non-linear Machine Learning models to predict high coupon usage of customer 
•	Developed features based on shop names using unsupervised learning, which improved precision by 3%
•	Summarized research papers on Machine Learning from top conferences (EMNLP, ACL, CVPR, NIPS)

•	Analyzed 130K psychotherapy dialogues to help medical science experts in determining the emotion and topic of conversation. Used Sequential modeling to model dependency between dialogues in a conversation, including Conditional Random Fields (CRFs) with Bi-directional LSTMs. 
•	Proposed and implemented a novel method for end-to-end training for datasets with missing values using Deep Learning. Comparing the approach with state of the art imputation techniques like Multiple Imputation.
•	Using Transfer Learning in NLP to leverage the power of large datasets for my use case on emotion classification.
•	Implemented weighted Logistic regression using bag-of-words and TF-IDF to handle multiple labelers for emotion classification, led to a 10% increase in precision and recall as compared to majority voting

•	Developed automated trading strategies for Interest Rate Products for High Frequency Trading (HFT). Back-tested strategies for over 2 years using simulated impact on market data, reduced losses during volatile periods by introducing new trade indicators and improved average gains by over 20% for the products.
•	Increased trading volume by creating dynamic strategies using walk-forward method and P&L modeling

Coursework: Statistical NLP, Deep Learning, Probabilistic Learning, Machine Learning, Probabilistic Graphical Models, Principles of Database Management, Fundamentals of Algorithms, Computer Networks, Distributed Systems

Software Engineer at Microsoft

Abhishek Jindal