Experience

CareAsOne

• United States
• Software Development
• 1 - 100 Employee

• Co-Founder and Chief Technology Officer

  • Apr 2023 - 9 months

  Los Angeles, California, United States CareAsOne is a VC backed one-stop-solution for US and Canada's caregiving industry; connecting patients to our network of 600+ paying partner homecare agencies and these agencies to 50,000+ registered potential caregivers. My personal contributions to CareAsOne include, but are not limited to: • Creating and maintaining the company's website and 2 mobile apps • Building and leading a team of engineers in India to support daily operations



Morgan & Morgan, P.A.

• United States
• Legal Services
• 700 & Above Employee

• Sr. Software Engineer - Generative AI

  • Apr 2023 - 9 months

  New York City Metropolitan Area Building LLM solutions for America’s Largest Injury Law Firm to navigate their 120 million Documents Data Repository



Amazon

• United States
• Software Development
• 700 & Above Employee

• Software Development Engineer - Natural Language Processing

  • Jun 2022 - May 2023

  New York, New York, United States The Product-Graph (PG) team is committed towards enriching the data associated with the hundreds of millions of item listings on Amazon.com which in-turn makes search, recommendations, etc., more efficient all of which is pivotal for a pleasant customer buying experience. PG does this by researching and deploying state-of-the-art Natural Language Understanding and Computer Vision pipelines which extract product attributes from their images and unstructured customer/seller text… Show more The Product-Graph (PG) team is committed towards enriching the data associated with the hundreds of millions of item listings on Amazon.com which in-turn makes search, recommendations, etc., more efficient all of which is pivotal for a pleasant customer buying experience. PG does this by researching and deploying state-of-the-art Natural Language Understanding and Computer Vision pipelines which extract product attributes from their images and unstructured customer/seller text data. My personal contributions to PG include, but are not limited to: • Designing & deploying distributed locking mechanisms to synchronize the NLU pipeline responsible for enriching data of 1bn.+ products per year, across ≈20 marketplaces, from unstructured data associated with these listings like FAQs, reviews, etc. • Being recognized for spearheading metrics creation project to quantify contributions of our ML pipelines, thereby discovering and mitigating erroneous data generation of ≈300mn. products, biggest error in team’s history (>30% of total effort for that year). Show less



Columbia University

• United States
• Higher Education
• 700 & Above Employee

• Chief Research Assistant

  • Sep 2021 - Jun 2022

  New York, New York, United States School of Professional Studies: • Initiated research to create and embed Machine Learning models of Technology Adoption in System Wide Agent Based Network Simulations

• Research and Development Assistant

  • Jun 2021 - Sep 2021

  New York, New York, United States Institute for Social and Economic Research and Policy: • Assisted development of an open access Python library, called the AI Model Share, that utilized AWS services for easy Machine Learning models deployment and data sharing • Constructed creative front end dashboards in Vue.js for users to interact with endpoints of deployed models without having to write code



Sauma Capital LLC

• United States
• Financial Services
• 1 - 100 Employee

• Quantitative Researcher

  • May 2021 - Sep 2021

  New York, New York, United States • Implemented 13 Machine Learning based returns estimators, working on historical ETF prices and 90+ other alternative economic data points • Coded an exhaustive backtesting module to compare wealth distribution weights across 11 asset classes for each period generated by 750+ different combinations of Portfolio Allocation strategies , objective functions, hyper parameters, risk and returns estimators • Automated selection of best portfolio option for a client based on financial measures… Show more • Implemented 13 Machine Learning based returns estimators, working on historical ETF prices and 90+ other alternative economic data points • Coded an exhaustive backtesting module to compare wealth distribution weights across 11 asset classes for each period generated by 750+ different combinations of Portfolio Allocation strategies , objective functions, hyper parameters, risk and returns estimators • Automated selection of best portfolio option for a client based on financial measures of risk/returns like Sharpe and Calmar Ratios Show less



EY

• United Kingdom
• IT Services and IT Consulting
• 700 & Above Employee

• Cyber Security Analyst

  • Jun 2020 - Jan 2021

  Gurugram, Haryana, India • Delivered client facing presentations about company wide security strategies for network, disaster recovery and data protection • Assessed current IT infrastructure of clients by utilizing penetration testing, doing incident response and making root cause reports



Times Internet

• India
• Technology, Information and Internet
• 700 & Above Employee

• Data Scientist at Indiatimes Lifestyle Network (E-Commerce)

  • Jun 2019 - Jul 2019

  Gurgaon, India • Devised a reverse-marketing product recommender for mShop (adjunct site to MensXP- India's largest men's lifestyle site) projected to convert 1-2% of 10 million monthly visitors of MensXP