Mar 2022 – Present · 4 yrs 2 mos · Delhi, India

• Contributed to the design of distributed systems for trading, promoting team growth and enhancing technical expertise.
• Developed an integrated research platform designed to facilitate comprehensive trading strategy development for options and equities, primarily leveraging AI-driven methodologies for idea generation and strategic performance optimization across multiple parameters.
• Directed a cross-functional team of backend and frontend engineers in the design and implementation of a comprehensive back-office management system.
• Enhanced the low-latency core order gateway by utilizing modern C++ and optimizing it with low-level architectural improvements.
• Developed a message dispatch proxy to integrate the trading system with web services, optimized the continuous data streaming system to achieve a 95-fold increase in speed, and resolved critical race condition issues.

Feb 2020 – Feb 2022 · 2 yrs · Gurugram, Haryana, India

• Credit Lending Engine: Engineered advanced credit risk models to predict default probabilities using
• machine learning algorithms on credit bureau, transaction, and demographic data. Collaborated with stakeholders and cross-functional teams for requirement analysis, architectural design, and production deployment.
• Implemented complex ETL processes to integrate multi-source data into an enterprise data warehouse.
• Fraud Engine: Designed and implemented algorithms using Bayesian networks and statistical models to power fraud prevention applications, with a focus on retail unsecured credit loss forecasting and portfolio analytics. Created and deployed a data platform that accelerates experimentation and analysis, allowing over 50% of A/B tests to move from conception to production within a week.
• Credit Algorithm: Developed a ml-based underwriting system leveraging alternative data, driving 80% of new user growth and reducing delinquency to cohort-level profitability, leveraging users’ financial, social, and behavioral data.
• Scaling Systems: Architected and built microservices capable of meeting internet-scale requirements for ML APIs.

Jul 2018 – Jan 2020 · 1 yr 6 mos

• Engineered advanced fraud detection platform, automating complex fraud detection processes. Implemented and deployed a sophisticated propensity model, validated through rigorous A/B testing, identifying the top 30% of users with the highest product interest scores.
• Developed model to classify millions of transactions into multiple spending categories.
• Translated complex business problems into data engineering and data science frameworks, constructing production data pipelines, deploying machine learning models for multiple products.

Jul 2017 – Jun 2018 · 11 mos · Gurugram, Haryana, India

• Meeting ChatBot: Developed a sophisticated Meeting ChatBot and Personal Assistant using NLP,
• integrated with calendar APIs, enabling real-time synchronization, schedule management, and accurate user query responses.
• Information Extractor from Unstructured Data: Built an information extraction model using advanced
• NLP techniques, automating the extraction of domain-specific data from text, with automatic annotation to improve efficiency.
• Semantic Similarity: Implemented deep neural network models, to determine semantic similarity of text pairs, enhancing duplicate detection, paraphrase identification, and relevance ranking.

Jun 2016 – Nov 2016 · 5 mos · Greater Tampa Bay Area

• Project involved creating a Job Recommender System.
• It also included improving Search Engine Optimization(SEO) for SigmaWay by publishing blogs,
• forums & online resources on the company website, based on current topics in Artificial Intelligence,
• Machine Learning etc and Certified for the same.