Naman Omar profile photo 1 on Tal

Naman Omar

IIITK’26 | MTS-Applied AI @ DevRev | Ex- TIFIN | Research and Development

Bengaluru

1+ year of work experience

DevRev
Apr 20265 mosPresent

Bengaluru, Karnataka, India

- MCPs and Connectors
Copenhagen Business School
Sep 20257 mosMar 2026

- Worked under Dr. Somnath Mazumdar and Dr. Selvi under Deepfake Detection
TIFIN
Jul 202510 mosApr 2026

Bengaluru, Karnataka, India

- Magnifi Product : LLM fine-tuning , quantization and automation - Published and co-authored the research paper “EventTempEx: A Tool for Interpreting Event-Anchored Temporal Expressions”, focusing on advancing temporal understanding in NLP systems. - Workifi Data Science team : RAG optimisation, Recommedation engine - RM Data Science team: Evaluation systems, fintech embedding architectures and data pipelines
Zynn.ai
May 20252 mosJun 2025

Remote

- Agentic Pipeline for real-time SKU predictions - Multimodular RAG
IIIT Kottayam | Official Page
Feb 20251 yr 2 mosMar 2026

Kottayam, Kerala, India

- Multi Objective Optimisation and Surrogate Optimisation under Dr. Susheel Kumar Joshi - Topic Modeling based Summarization under Dr. Selvi C. - Federated Learning and GNN under Dr. John Paul Martin - IOT based learning under Dr. Vengadeswaran - Published more than 5 papers under conferences and 2+ journals as first author

Naman’s AI Stack

antigravity
antigravity
claude code
claude code
claude
claude
cursor
cursor
mcp
mcp
opencode
opencode

Education

Indian Institute of Information Technology Kottayam

Bachelor of Technology (Honors) - BTech, Computer Science and Engineering in specialization in Artificial Intelligence and data science

Indian Institute of Information Technology Kottayam

20224 yrs2026
Rani Laxmi Bai Memorial School (R.L.B.)

Higher secondary education, Mathematics and Computer Science

Rani Laxmi Bai Memorial School (R.L.B.)

20182 yrs2020

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Headline

IIITK’26 | MTS-Applied AI @ DevRev | Ex- TIFIN | Research and Development

About

As a Member of Technical Staff - Applied AI at DevRev, I contribute to the team by leveraging my knowledge in optimization, Google Cloud Platform (GCP), and research and development to support innovative AI-driven solutions. My role builds on prior experience as an AI ML Engineer at TIFIN, where I worked on LLM fine-tuning, quantization, and automating scalable model deployment pipelines for production use. I have pursued a Bachelor of Technology in Computer Science and Engineering with a specialization in Artificial Intelligence and Data Science at IIIT Kottayam, I am deeply engaged in advancing AI applications. My academic journey and professional experiences have been complemented by co-authoring research on event-anchored temporal expressions and contributing to multimodal retrieval architectures, enhancing my capability to address complex challenges in AI and optimization.

Location

Bengaluru

AI stack

antigravity

claude code

claude

cursor

mcp

opencode

Work experience

Member of Technical Staff - Applied AI at DevRev, Apr 2026 - Present · 5 mos, Bengaluru, Karnataka, India, - MCPs and Connectors

Researcher at Copenhagen Business School, Sep 2025 - Mar 2026 · 7 mos, - Worked under Dr. Somnath Mazumdar and Dr. Selvi under Deepfake Detection

AI ML Engineer at TIFIN, Jul 2025 - Apr 2026 · 10 mos, Bengaluru, Karnataka, India, - Magnifi Product : LLM fine-tuning , quantization and automation - Published and co-authored the research paper “EventTempEx: A Tool for Interpreting Event-Anchored Temporal Expressions”, focusing on advancing temporal understanding in NLP systems. - Workifi Data Science team : RAG optimisation, Recommedation engine - RM Data Science team: Evaluation systems, fintech embedding architectures and data pipelines

Founding AI Engineer at Zynn.ai, May 2025 - Jun 2025 · 2 mos, Remote, - Agentic Pipeline for real-time SKU predictions - Multimodular RAG

Undergraduate Research Fellow at IIIT Kottayam | Official Page, Feb 2025 - Mar 2026 · 1 yr 2 mos, Kottayam, Kerala, India, - Multi Objective Optimisation and Surrogate Optimisation under Dr. Susheel Kumar Joshi - Topic Modeling based Summarization under Dr. Selvi C. - Federated Learning and GNN under Dr. John Paul Martin - IOT based learning under Dr. Vengadeswaran - Published more than 5 papers under conferences and 2+ journals as first author

Education

Bachelor of Technology (Honors) - BTech, Computer Science and Engineering in specialization in Artificial Intelligence and data science, Indian Institute of Information Technology Kottayam

Higher secondary education, Mathematics and Computer Science, Rani Laxmi Bai Memorial School (R.L.B.)

Public links

github: https://github.com/namanomar