Nikhil Barot

Nikhil Barot

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About Me

AI / Machine Learning Engineer with 10+ years of experience in the IT industry building intelligent systems, automation solutions, and enterprise-scale platforms. I specialize in AI orchestration, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and scalable cloud deployments. Throughout my career at giants like JPMorgan Chase & Co and Oracle, I have driven high-impact engineering outcomes, improved productivity, and deployed reliable AI frameworks in complex financial environments.

Experience

AI/ML Researcher

Central Michigan University | May 2025 - Present

  • Developed adaptive neural network models analyzing real-world healthcare data (ECG) to support predictive insights for complex clinical decision systems.
  • Built a predictive maintenance deep learning model for turbojet engines, achieving 85%+ prediction accuracy, enabling proactive maintenance strategies.

AI/ML Engineer

Office of Information & Technology | May 2025 - Aug 2025

  • Built Generative AI solutions using LLM frameworks to automate enterprise workflows and improve internal data-driven decision making.
  • Designed and deployed Retrieval-Augmented Generation (RAG) systems integrating vector databases and LLMs to improve response accuracy.

Associate

JPMorgan Chase & Co | Aug 2021 - Dec 2024

  • Built a GenAI-powered engineering automation platform using GPT-4, generating automation code and reducing development time by 60%.
  • Architected an autonomous agent-based system integrated with Jira that generated, executed, and reported test cases in sandbox environments.
  • Designed LLM evaluation pipelines to measure model accuracy and optimize prompt behavior.

Staff Consultant

Oracle (Client - State Street Bank) | Oct 2018 - Aug 2021

  • Supported end-to-end validation of ETF Options Trading platforms, ensuring integrity of order management and trade execution.
  • Collaborated with trading stakeholders to deliver feature enhancements across derivatives systems, resulting in zero production defects.

Technical Proficiency

Python & AI Frameworks95%
LLMs & Prompt Engineering90%
RAG & Vector Databases85%
SQL & Database Architecture90%
C++ & Java80%
Cloud Deployment (AWS/GCP)80%
LangChain DSPy Llama-3 Pinecone Apache Spark Docker / Kubernetes Agentic AI FastAPI

Education & Certifications

Master of Science in Computer Science

Central Michigan University

Graduating May 2026


Bachelor of Engineering in IT

Mumbai University

June 2015

Certifications

  • NVIDIA: Fundamentals of Deep Learning (2025)
  • Oracle: Cloud Infrastructure Data Science Professional (2025)
  • Oracle: Cloud Generative AI Professional (2025)
  • Oracle: AI Vector Search Certified Professional (2025)