Developed a sentiment analysis time-series model using OpenAI API and NLP techniques to process and analyze market news for S&P 500 companies, generating real-time buy, sell, or hold signals based on sentiment scores.Automated stock trades via API calls to brokerage services, with transaction logging and real-time stock data plots.Deployed on AWS Lambda enabling continuous monitoring and trading based on the latest market news sentiment.

Fine-tuned Llama-2 Large Language Model (LLM) to support Day 0, Day 1, and Day 2 operations for Juniper Networks' JUNOS routing, enhancing the customer experience with intelligent JUNOS CLI command assistance, real-time routing inference, and analytics.Integrated advanced search capabilities using vector embeddings with a vector database, enabling high-precision queries within Juniper's copilot software.Developed, deployed, and orchestrated the LLM using a React-based full stack framework, incorporating Docker and Kubernetes for scalable and reliable end-to-end POC integration.

Nationally recognized AI Educational platform, completely free for students worldwide, with a mission to educate the world on AI possibilities and positively impact society through innovations.Partnered with 12 educational institutions, including universities, engineering colleges, Central Board, State Board, and government schools, to create AI awareness for students of all backgrounds.Curated and developed learning resources, course materials, and an easily accessible AI Educational platform; authored four AI handbooks on AI Fundamentals, Deep Learning, Machine Learning, Python, and SQL Server.Hosted in-person and virtual workshops on various AI topics, reaching students from 125+ institutions; provided free distribution of AI handbooks.Successfully impacted over 19,000 students globally through workshops and educational resources.

Successfully completed GeakMinds’ Young Engineers Internship program with in-depth training on AI concepts, Python programming, Machine Learning, and Deep Learning algorithms by top Data Scientists.Developed Machine Learning models for the “Intelligent Digital Delivery (IDD)” platform, predicting risk in order delivery and providing a one-stop dashboard for agents to derive intelligence.Gained experience through real-world project work, interacting with client teams to understand business challenges, and contributing to solution-building exercises.

Accepted into the Research Scholar Program to work on a project in the field of Artificial Intelligence under the guidance of Mr. Swapneel Mehta of the Computer Science department from New York University.Spotlight Scholar with my 8750 words Research paper “Training Conversational AI using Reinforcement Learning to Exhibit Meaningful Semantic Variation” presented at the Lumiere Symposium, accepted at Springer International Journal, and added to the alumni group to offer aid to upcoming students.

Worked on a module in an ERP based project by writing efficient SQL queries, normalizing the tables, and testing the module with positive, negative and boundary test cases.