---
title: "Harsh Upadhyay - AI Researcher — Hallucination Hunter in Chandigarh | Tal"
description: "Meet Harsh Upadhyay, AI/ML Engineer | Computer Vision | LLMs | Geospatial AI | Researcher based in Chandigarh. AI stack includes hugging face, langchain, and ollama. Explore public work links including github."
image: "https://tal.club/meet/harsh-upadhyay/share-image"
---

# Harsh Upadhyay on Tal

## Headline

AI/ML Engineer \| Computer Vision \| LLMs \| Geospatial AI \| Researcher

## About

I am a B\.E\. CSE \(AI & ML\) student with hands\-on experience in computer vision, deep learning, multimodal LLMs, RAG systems, and geospatial AI\. I focus on building real, end\-to\-end AI systems that combine research depth with full\-stack engineering\. My major work includes: 🔹 Hallucination Hunter — an enhanced, training\-free hallucination detection framework for multimodal LLMs • Built using BLIP\-2, GroundingDINO & CLIP • Achieved \+30\.6% accuracy improvement on the POPE benchmark • Reduced inference latency by 4× using GPU parallelization, batching & caching 🔹 GeoLLM — a full\-stack Geospatial AI system • Supports NDVI, LST, time\-series analysis, flood mapping & LULC • Uses Google Earth Engine, RAG, FAISS, NER & intelligent intent routing • Built with FastAPI microservices \+ Next\.js \+ MapLibre 🔹 Published Research \(ICDSAI 2025, Scopus Indexed\) • Improved YOLO using a ResNet50 backbone \+ rotated bounding boxes • Achieved significant gains on DOTA v1\.5 I love solving AI problems that mix vision, language, geospatial intelligence, and real\-world deployment\. Seeking roles: AI Engineer, ML Engineer, LLM Engineer, Computer Vision Engineer, Research Intern, Applied ML\.

## Location

Chandigarh

## AI stack

hugging face

langchain

ollama

openai

## Work experience

AI Researcher — Hallucination Hunter at Independent Researcher, Jul 2025 \- Jan 2026 · 7 mos, Mohali district, India, Built a training\-free hallucination detection pipeline using BLIP\-2, CLIP & GroundingDINO Achieved \+30\.6% accuracy on POPE benchmark Reduced inference latency by 4× with GPU batching Designed Hallucination Confidence Scoring \(HCS\)

AI Engineer — GeoLLM at Independent Product, May 2025 \- Oct 2025 · 6 mos, Mohali district, India, Developed a full\-stack Geospatial AI Assistant Integrated GEE \+ FAISS RAG \+ FastAPI microservices Built NER → polygon extraction → intent routing pipeline Created Next\.js \+ MapLibre frontend with interactive tiles

Research Intern — YOLO\-ResNet50 \(Published Work\) at Independent Researcher, Nov 2024 \- Mar 2025 · 5 mos, Mohali district, India, Enhanced YOLOv5 using a ResNet50 backbone \+ rotated bounding boxes Achieved significant mAP gains on DOTA v1\.5 Published in ICDAM 2025 \(Scopus Indexed\)

## Education

B\.E in CSE \(AI & ML\), CHANDIGARH UNIVERSITY

Intermediate, Rani Laxmi Bai Memorial School \(R\.L\.B\.\)

## Public links

- github: https://github\.com/HarshUpadhyay2003

[View the original profile](https://tal.club/meet/harsh-upadhyay)

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