Certifications

Fundamentals of Deep Learning
Nvidia
Introduction to Generative AI
Google Cloud

Experience

Machine Learning Engineer @ Walmart
July 2024 → Present
  • Led development of a LangGraph driven multi agent system for Sam's Club merchandising that diagnoses product availability issues in natural language, cutting investigation time from few hours to minutes and enabling autonomous data remediation with human-in-the-loop approval.
  • Built a dynamic Model Context Protocol (MCP) framework spanning multiple resource tiers enabling self discoverable services and orchestration for agent based automation at scale.
  • Engineered a 24/7 autonomous support agent that integrates JIRA, ServiceNow, Confluence, and Slack auto diagnosing and resolving production tickets with 95% success, eliminating manual intervention.
  • Built and deployed an end-to-end anomaly detection system for 1.4M SKUs, saving $4M+ by flagging pricing and dimensional errors; designed custom data pipelines, improved model accuracy by 38%, and reduced manual QC time by 95%.
Research and Teaching Assistant (ML, Bioinformatics, and Database) @ University of Florida
January 2023 → December 2023
  • Processed and analyzed 10+ TB of human genome data to identify genetic patterns associated with ALS.
  • Designed a custom statistical framework for novel repeat expansion detection currently under lab validation for clinical research.
  • Mentored 350+ students in database systems, delivering lectures, managing labs, and evaluating coursework.
Machine Learning Intern @ Whizkey
June 2021 → October 2021
  • Engineered a signal disaggregation pipeline using NILM techniques and time series ML models, paired with a real time Streamlit dashboard which reduced monitoring overhead and enabled predictive maintenance, extending appliance lifespan in 86% of deployments.
AI and Data Science Intern @ Hornbill Labs
July 2021 → September 2021
  • Designed an ensemble time series forecasting pipeline with a Plotly analytics dashboard to optimize retail inventory flow-achieved 98% forecast accuracy and delivered comparative model insights for supply chain planning.
Data Science Intern @ Cybertech System and Software
May 2020 → June 2020
  • Developed a dashboard incorporating a machine learning model to forecast the necessary medical resources for the treatment of COVID-19 patients and anticipating the rise in patient numbers.

Skills

PythonRustJavaC++C#RTensorFlowPyTorchHuggingFace TransformersLangChainLangGraphLlamaIndexvLLMCLIPViTOpenCVYOLOBERTVector DBsFAISSMilvusSQLMySQLPostgreNoSQLCassandraFastAPIStreamlitGitDocker

Projects

AI Fitness Vision Coach
  • Built an agentic AI system that uses pose estimation and real time computer vision to evaluate exercise form, count reps, and adapt workouts dynamically.
ScholarAI
  • Developed an agentic AI system integrating a self-adaptive tutor and autonomous research assistant.

Education

University of Florida, Gainesville
Aug 2022 → May 2024
Master of Science, Computer and Information Science - AI Specialization
MIT-WPU, Pune
July 2018 → June 2022
Bachelor of Technology, Computer Science and Engineering