---
title: "Parv Gatecha - NLP Research Intern in Ahmedabad | Tal"
description: "Meet Parv Gatecha, AI/ML Engineer · NLP & GenAI | LLMs · RAG · VLMs | MTech CSE @ IIIT Bangalore | Codeforces Expert · LeetCode Knight | Open to Roles in AI/ML & Research based in Ahmedabad. AI stack includes antigravity, codex, and claudecode. Explore public work links including github."
image: "https://tal.club/meet/parv-gatecha/share-image"
---

# Parv Gatecha on Tal

## Headline

AI/ML Engineer · NLP &amp; GenAI \| LLMs · RAG · VLMs \| MTech CSE @ IIIT Bangalore \| Codeforces Expert · LeetCode Knight \| Open to Roles in AI/ML &amp; Research

## About

I'm an AI/ML engineer and MTech Computer Science student at IIIT Bangalore, passionate about building intelligent systems at the intersection of NLP, Large Language Models, and real\-world applications\. My work spans clinical AI, autonomous driving, and conversational systems\. At Augnito, I built ML\-driven NLP pipelines for Clinical Documentation Improvement, extracting medical entities from unstructured text using advanced language modeling\. At Bosch Global Software Technologies, I integrated Vision\-Language Models into an autonomous driving stack — cutting object detection processing time by 15% and projecting a 20% gain in scene understanding accuracy after benchmarking 10\+ multimodal architectures\. Beyond industry work, I trained a Transformer model from scratch on 25K\+ emotionally rich dialogues to build an empathetic chatbot — evaluated via BLEU scores and perplexity — and serve as a Teaching Assistant for the Machine Learning course at IIIT Bangalore\. On the competitive programming side, I'm a Codeforces Expert and LeetCode Knight, which has sharpened my algorithmic thinking and systems design instincts — skills I bring directly to ML pipeline optimization and model efficiency\. I'm actively seeking full\-time roles in AI Engineering, ML Engineering, Generative AI, and Research Engineering\. If you're building something meaningful with AI, let's connect\.

## Location

Ahmedabad

## AI stack

antigravity

codex

claudecode

## Work experience

NLP Research Intern at Augnito, Jan 2026 \- Present · 8 mos, Bengaluru, \- Engineered an ML\-driven NLP pipeline for Clinical Documentation Improvement \(CDI\), leveraging transformer\-based language models to capture contextual relationships in clinical text at scale\. \- Optimized medical named entity recognition \(NER\) by designing advanced preprocessing strategies and domain\-specific fine\-tuning, improving extraction precision of clinical entities from unstructured EHR data\. \- Applied Retrieval\-Augmented Generation \(RAG\) techniques to enhance semantic information retrieval, reducing hallucination risk in clinical AI outputs\. \- Collaborated with cross\-functional teams to iterate on model tuning strategies, improving downstream CDI task performance across multiple clinical document types\.

Teaching Assistant — Machine Learning at International Institute of Information Technology Bangalore, Aug 2025 \- Dec 2025 · 5 mos, Bengaluru, \- Selected as TA for the Machine Learning course at IIIT Bangalore, supporting instruction for graduate\-level students on supervised learning, neural networks, and optimization techniques\. \- Designed problem sets and evaluation rubrics, and conducted doubt\-clearing sessions to reinforce conceptual understanding of ML fundamentals\.

Applied Research Intern at Bosch Global Software Technologies, May 2025 \- Jul 2025 · 3 mos, Bengaluru, \- Integrated a novel Vision\-Language Model \(VLM\) into a production autonomous driving perception stack, reducing object detection processing latency by 15% and improving system reaction speed under real\-world conditions\. \- Benchmarked and analyzed 10\+ state\-of\-the\-art multimodal architectures \(including CLIP\-based and instruction\-tuned VLMs\), identifying architectural improvements projected to increase scene understanding accuracy by 20%\. \- Designed and implemented a systematic evaluation framework to compare VLM performance across diverse driving scenarios, enabling data\-driven model selection for safety\-critical applications\. \- Collaborated with research and engineering teams to align VLM outputs with downstream decision\-making modules in the autonomous driving stack\.

Software Engineer Intern at TatvaSoft, Jan 2024 \- Jun 2024 · 6 mos, Ahmedabad, \- Led full\-stack development of a scalable appointment scheduling web application, reducing average user booking time by 40% through streamlined UX workflows and optimized data flows\. \- Engineered and tuned backend systems in \.NET, achieving a 25% reduction in server response time under high\-load conditions, improving platform reliability and user experience\. \- Implemented RESTful APIs and database optimizations to support concurrent user operations, delivering a production\-ready system within a 6\-month timeline\.

Artificial Intelligence Engineer at Scale AI, Jan 2022 \- Jan 2024 · 2 yrs 1 mo, Remote, \- Fine\-tuned and evaluated large\-scale language models using advanced RLHF and NLP techniques, boosting conversational accuracy by 25% across multiple production AI applications\. \- Developed and stress\-tested conversational AI systems built on transformer architectures, reducing model error rates by 30% through targeted performance analysis and iterative prompt optimization\. \- Contributed to data quality pipelines for LLM training, annotating and curating high\-quality datasets used in production model updates\.

## Education

Master of Technology \- MTech, Computer Science, International Institute of Information Technology Bangalore

Bachelor of Technology \- BTech, Computer Engineering, LJ Institute of Engineering and Technology

## Public links

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

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

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