AboutAI engineer with experience taking a GPT-4-powered GenAI career coach toward production on Azure AI Foundry, re-architecting the backend with hybrid (vector + keyword) search and RAG optimizations to cut latency by 50%. Also has client-facing TCS experience building healthcare ETL pipelines and delivering error-free monthly reports, plus current work analyzing agentic system reasoning traces and guardrail drift as an AI research fellow.
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Post a Role 90-day money-back guarantee Key StrengthsReduced LLM/RAG query latency by 50% via hybrid search + RAG pipeline optimization Production-focused LLM system design (prototype-to-production for GenAI career coach) Real-time debugging of agentic workflows using reasoning traces and RAG context validation Client-facing delivery ownership for high-stakes healthcare ETL/reporting with strong data integrity focus Able to tailor technical demos/workshops to different stakeholder audiences Built and deployed a GenAI career-coach product as a founding engineer (backend + recommendation system) Improved LLM output quality by redesigning prompts to reduce hallucinations and generic responses Designed deterministic multi-stage agent workflows with guardrails, schema validation, and state machines Hands-on orchestration across Azure AI Foundry, LangChain, and custom FastAPI pipelines to improve latency and response quality Strong RAG implementation skills (Pinecone metadata filtering, hybrid retrieval, context merging) Practical evaluation approach for agents (accuracy, latency, consistency; tool-calling integrity testing) Effective collaboration with non-technical stakeholders (translating technical tradeoffs into lay terms) Reference HighlightsStrongly Recommended
Delivered top-notch quality recommendations Achieved accuracy goals for recommendation system Very collaborative with other teams Able to discuss product effectively with non-technical stakeholders Open and transparent communicator about development, strategy, and testing Patient in addressing stakeholder questions Strong knowledge sharing; willing to teach Open to learning from peers Tushar's references speak for themselves. Let us connect you.
Get Introduced ExperienceAI Engineer Intern Product Manager Accelerator · Sep 2025 – Present internship
AI Researcher Handshake AI · Aug 2025 – Present contract
Student Researcher, Magnetic Resonance Technology Discovery (MRTD) Lab Illinois Institute of Technology · Jan 2025 – May 2025
Research Assistant, Social Spatial Interaction (SSIL) Lab Illinois Institute of Technology · Aug 2024 – May 2025
System Engineer - Java Backend & Cloud Tata Consultancy Services · Jan 2022 – Aug 2023
Assistant System Engineer - Data Analytics & ETL Tata Consultancy Services · Jan 2020 – Jan 2022
Co-Teacher, Microsoft TEALS Program Microsoft TEALS · Aug 2024 – Dec 2024 part-time
AI Workshop Contributor & Peer Mentor, Indian Institute of Technology (IIT) BHU Indian Institute of Technology (IIT) BHU · Oct 2018 – Oct 2018
Independent Researcher - Model Validation Expert (MOVE) Fellow Handshake AI · Aug 2025 – Present
Research Assistant - Computer Vision & XR Analytics Illinois Institute of Technology · Aug 2024 – May 2025
Software Developer Tata Consultancy Services · Jan 2020 – Aug 2023
EducationIllinois Institute of Technology master, Computer Science (2025)
Dr. A. P. J. Abdul Kalam Technical University bachelor, Computer Science and Engineering (2018)
Dr. A. P. J. Abdul Kalam Technical University bachelor, Computer Science and Engineering (2018)
Certifications Machine Learning A-Z: AI, Python [2025] (Udemy) Spring Boot 3, Spring 6 & Hibernate for Beginner (Udemy) Microsoft Technology Associate (MTA) - Software Development Fundamentals (J2EE)
Publications 2 publications
Neural implant stability analysis Medical imaging (CT/MRI) orientation and positional tracking Biometrics and signature verification Computer vision using CNNs
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