Rishi Nopany
Software Dev Engineer @ Amazon Web Services (AWS)
About
At Amazon Web Services, my work with Langchain-powered microservices and machine learning pipelines has marked a significant leap in user experience. Our team's commitment to excellence also led to a cut in latency, enhancing performance substantially. Balancing academics and professional commitments, I'm honing my expertise in Natural Language Processing and Cloud Computing. Simultaneously, my role as a Finance Analyst with the GTSF Investments Committee has sharpened my analytical skills, contributing to substantial portfolio growth through innovative algorithm automation.
United States
Seattle
Computer Software
Amazon Web Services (AWS), Java, LangChain, Natural Language Processing (NLP), Cloud Computing, Large Language Models (LLM), Cloud Infrastructure, MongoDB, Machine Learning, NumPy, Jira, Node.js, Pandas (Software), Data Science, Supervised Learning, Database Design, Investment Management, Finance, Management, Teaching
Experience

Software Dev Engineering Intern
Seattle, Washington, United States
- Architected a Langchain-powered micro-service to provide in-context descriptions for over 300 different AWS services and solutions, enhancing the user reading experience and leading to a 12% user retention rate - Engineered a machine learning pipeline utilizing sentence transformers and keyphrase vectorizers, achieving 95% accuracy in identifying technical terms within AWS documentation - Developed and integrated large language models (Claude 3 Sonnet and Haiku) to automatically generate concise definitions, improving documentation clarity and reducing customer support queries by 18% - Optimized the microservice for scalability and performance, resulting in a 23% reduction in latency and an 8% improvement in response time

Finance Analyst
Atlanta, Georgia, United States
- Part of a 30+ person committee handling a $2 million investment portfolio for Georgia Institute of Technology. - Served as an analyst in the energy and quant sector. - Automated a discounted cash flow analysis algorithm, achieving a 200% portfolio value increase in a 10-year backtest period.

Backend Technology Intern
Mumbai, Maharashtra, India
- Employed NLP (BERT) models and Naive-Bayes classifiers to automate product review rejection, resulting in a 15-hour monthly reduction in staff hours while enhancing efficiency - Leveraged text vectorizers and large-scale NLP models to successfully implement keyword extraction for product review tags, resulting in an 12% increase in user website interaction - Created anomaly detection algorithms using Pandas and NumPy, curbing human error and driving a 5% revenue upswing across five product categories - Engineered algorithms that efficiently prune inactive SKUs, resulting in an improvement in cache performance and accelerated searches across both mobile and web platforms

Researcher - TutorBot
Atlanta, Georgia, United States
- Architected an interactive Q&A chatbot that uses keyword extraction, cosine similarity, and ML to answer student questions - Devised an intelligent tutoring system catering to programming-intensive electrical engineering courses, driving student retention and performance - Pioneered the shift to a vector search engine model (Weaviate) to reduce run-time and enhance accuracy, improving search capabilities of the chatbot

Co-Founder
- Created a web application using Python (Flask) and JavaScript to make learning easier for students - Most popular student-led IB Education App in India, garnered 1,000,000+ views & 300,000+ users - Made key decisions about the web app and collaborated with over 50+ contributors from various parts of India
Education

Computer Science
Undergraduate TA for Computer Organization and Programming, and Introduction to Databases. Skills: Assembly Programming · C Programming · Instruction Set Architecture · Database Management · Information Security · Data Structures & Algorithms · Agile Development · Java Programming
Rishi Nopany's Contact Information
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