Harsh Chainani
@harshchainani
AI/ML engineer building practical agents, robust models, and secure automation.
What I'm looking for
I’m an AI/ML-focused engineer with a background in Artificial Intelligence and Data Science, and I love turning research ideas into working systems. I’ve built agentic and ML pipelines that solve concrete problems through retrieval, detection, and robust inference.
My projects include a Retrieval-Augmented Generation QA agent using LangChain and vector databases, exposed as an MCP tool for LLM-client querying. I also built a U-Net lung CT segmentation model and evaluated robustness against FGSM and PGD adversarial attacks. For security, I developed an autonomous cyber defense agent using anomaly detection (Isolation Forest and decision trees) with simulated SOC workflows and automated response logic.
I’ve contributed to applied work through a multilingual AI chat & voice assistant (10+ languages) and an AI job-matching pipeline using LangChain/LangGraph with structured extraction. I secured 2nd place in an AI/ML hackathon for the voice assistant, and I co-authored research on proactive threat mitigation published at ICSICE 2026.
Experience
Work history, roles, and key accomplishments
B.Tech (AI & Data Science)
Vivekanand Education Society’s Institute Of Technology
Nov 2022 - May 2026 (3 years 6 months)
Pursuing a B.Tech in Artificial Intelligence and Data Science (CGPA: 8.45) with coursework and projects focused on ML, NLP, and applied AI systems.
Education
Degrees, certifications, and relevant coursework
Vivekanand Education Society’s Institute of Technology
Bachelor of Technology, Artificial Intelligence and Data Science
2022 - 2026
Grade: 8.45 (CGPA)
Activities and societies: Projects include a Retrieval-Augmented Generation QA agent (LangChain, ChromaDB), U-Net lung CT segmentation with adversarial robustness testing, and anomaly-detection-based autonomous cyber defense agent (Isolation Forest, Decision Trees).
Pursuing a B.Tech in Artificial Intelligence and Data Science at VESIT, with CGPA of 8.45. Completed major course-linked projects including a RAG QA agent and a lung CT segmentation model.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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