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- ML Tech Lead for Recommendation Projects
- Designing, developing, deploying & monitoring 1:1 Personalization for Search & Recommendations
- Worked on designing, developing and deploying Visual Search, Complete The Look and Recommendations for E-Commerce 
- Working cross-functionally with product managers, engineers, and program managers to develop and deploy AI/ML solutions.
- Participate in, and lead ML/AI design reviews with peers and stakeholders to decide amongst available technologies.
- Review models and code developed by other developers and provide feedback to ensure best practices

J P Morgan

Goldman Sachs Asset Management

Bain Capital Ventures

Sixth Street

Sixth Street Growth

Battery Ventures

New Enterprise Associates

Lightspeed Venture Partners

Salesforce Ventures

ChrisPC

TriplePoint Capital

W Capital Partners

NewView Capital

Stock Capital Banker

VII Ventures

Canyon Oak Ventures

Customer analytics and site optimization machine intelligence platform. The solutions are powered by the Web Relevance Engine (WRE), big data, machine learning technology. Its flagship product Bloomsearch uses big data and patented technology to analyze user's behavior and optimizes the structure, content of the site, thereby increasing the exposure of better information to search engines. Bloomreach SNAP is a cross-platform personalized discovery tool which enables site owners to ensure that customer finds what they search for. Provides tools and metrics for site owners to decide which products to show. Also includes an autosuggest and predictive search tool that gives customers relevant results using their natural language. Bloomreach Compass analyses products on the site and identifies opportunities for them to get discovered.

Customer analytics and site optimization machine intelligence platform

• Was Part of Machine Learning and Data Science (MLDS) Research Team, Bangalore
• Researched on Machine Learning based solutions for broad range of Credit and Fraud Risk problems

• Main Projects: 
  - Worked on model interpretability techniques to understand and interpret Credit and Fraud Risk models
  - Developed Natural Language Processing based Bank Statement Transaction Classification model for Estimating Customer Revenue through latest Bank Statements
  - Developed Multi Objective Loss Functions for simultaneously optimizing Gini and Dollar savings for XGBoost models
  - Developed and maintained RNNSuite - Python package used by AMEX modelling teams to build and deploy RNN based models
  - Worked on Forecasting Revenue of Companies using their previous year financials

• Research Projects: 
  - Integrating Neural ODEs with Recurrent Neural Networks
  - Adversarial Attacks on XGBoost models

• Received SVP Star Achievement Award (One of the Youngest and Low Tenure Colleague to receive the award)

Third Point

Autonomy Ventures

Gerardet

B Capital Fund

Black Capital Investments

Payment card network. It offers issuing services to merchants for payment transactions. It also offers prepaid and credit cards. It also processes transactions between merchants and issuers, offers savings accounts and consumer loans, travel bookings, and more. It also provides an app-based platform for card transaction management. The app is available on iOS and Android devices.

• Worked on the problem of Word Sense Disambiguation in Life Science Domain - predicting the correct meaning of a word used, when the word has multiple meanings
• Approached the problem using Deep Learning and developed a model in TensorFlow starting with NeuroNER as base model
• Developed a data pipeline for the model from 2 PubMed data corpus and integrated a data augmentation technique to increase training data
• Further increased the amount of training data by using Pseudo Labeling, a type of semi-supervised active learning method
• Obtained state-of-the-art results by performed Hyper Parameter Tuning using Bayes Optimization Method
• Integrated a web-based entity annotation tool for entity visualization and annotation

EOS VC

HCS Beteiligungsgesellschaft

Deep Learning

forwardvision.fund

C3 Venture Capital

Innoplexus provides business intelligence platforms to enable automation in consulting. The company uses a proprietary CAAV framework for crawling, aggregating billions of data points from thousands of data sources and use machine learning and interactive visualizations for generating intelligence and displaying the insights. Offers four products: Oilbird, an end to end platform for life sciences to generate intelligence and insights across pre-clinical, clinical, regulatory and commercial stages of a drug across therapeutic areas and indications; Touchpoint, a self-service platform for discovery and management of Key Thought Leaders (KTLs) in life sciences industry; Clarity, a global drug performance monitoring platform to enable continuous decision making in pharmaceutical companies; Lucius, a self-service platform with dashboards for each leadership level, giving an overall view of all business functions together. The company also offers consulting services for the life science and BFSI sectors. Raised an undisclosed amount in pre-Series A funding from HCS, a Germany-based venture capital fund in Dec 2016.

Business intelligence platforms for enterprises.

Composit is the Annual fest of Department Metallurgical and Materials Engineering, Indian Institute of Technology, Kharagpur. Congress of Metallurgical Professionals involving Students, Industry and Teachers (COMPOSIT) is a national meet conducted by the Society of Metallurgical Engineers (SME), Department of Metallurgical and Materials Engineering, IIT Kharagpur.The largest fest in its genre all over India, it is a unique congregation of students, professionals, academicians and eminent personalities sharing the belief that materials will define the next revolution; a path-breaking concept to compile and share knowledge and enthusiasm for the development of ‘Science of Materials’.Stretch your imagination, mechanize your thoughts, tickle your brain, expand your horizon with national level events such as Technova, Metallomania, Virtual Reality, Robotics wars, Quizzes, Workshops and Guest Lectures. Eminent personalities from all over India have made an appearance in COMPOSIT. Students from renowned institutions all over India come aboard with us and showcase their talent by presenting their research work, thinking abilities and reasoning aptitude. Apart from an incredible experience, participants get to take back certificates, goodies and prizes worth lakhs.