---
title: "Deepak Kumar Singh - Computer Vision and Deep Learning Engineer in Bengaluru | Tal"
description: "Meet Deepak Kumar Singh, Computer Vision · Deep Learning · Face Recognition · VLMs | Research Engineer @ Mercedes-Benz R&D | MS by Research, IIIT-H | IROS & NeurIPS based in Bengaluru. AI stack includes claude code, claude, and github copilot. Explore public work links including github and deepaksi..."
image: "https://tal.club/meet/deepak-singh-6/share-image"
---

# Deepak Kumar Singh on Tal

## Headline

Computer Vision · Deep Learning · Face Recognition · VLMs \| Research Engineer @ Mercedes\-Benz R&D \| MS by Research, IIIT\-H \| IROS & NeurIPS

## About

I build computer vision systems that have to work in the real world — inside moving vehicles, under hard latency and robustness constraints, where a model either holds up or it doesn't\. At Mercedes\-Benz R&D, I work on the in\-cabin sensing algorithms behind face recognition, occupant analysis, and related perception tasks, owning problems from proof\-of\-concept through to production\. Earlier, during my MS by Research at IIIT Hyderabad's CVIT lab, my work on open\-world object detection for road scenes was published at IROS and a NeurIPS workshop\. The through\-line is turning research into things that actually ship\. I spend most of my attention on the unglamorous parts: data quality, bridging RGB/NIR modality gaps, knowledge distillation, and getting models small and reliable enough to deploy\. Outside work, I fine\-tune vision\-language models for practical use cases and build ML tooling for problems I find interesting\.

## Location

Bengaluru

## AI stack

claude code

claude

github copilot

hugging face

opencode

Weights & Biases Weave

## Work experience

Computer Vision and Deep Learning Engineer at Mercedes\-Benz Research and Development India, Apr 2022 \- Present · 4 yrs 6 mos, Bengaluru, Karnataka, India, \- Build production computer vision systems for in\-cabin automotive sensing — face recognition, depth estimation, and occupant analysis\. \- Led an in\-cabin face recognition system end to end, from data strategy through deployment, to meet strict accuracy and robustness targets\. \- Designed a dual\-level authentication approach balancing low\-latency personalization with high\-assurance security for sensitive use cases\. \- Developed cross\-domain \(RGB/NIR\) face recognition and IR\-to\-RGB colorization methods that reduced reliance on large\-scale data collection\. \- Built software\-driven occupant analysis models, including IR\-based weight estimation, replacing hardware sensors\. Work across software, quantization, validation, and platform teams; contributor to filed patents\.

Graduate Research Scholar at Center for Visual Information Technology, IIIT Hyderabad, Jan 2019 \- Mar 2022 · 3 yrs 3 mos, Hyderabad, Telangana, India

Software Engineer at Celstream Technologies, Aug 2014 \- Sep 2016 · 2 yrs 2 mos, Bangalore Urban, Karnataka, India

## Education

Master's degree, Computer Science, International Institute of Information Technology Hyderabad \(IIITH\)

Bachelor's degree, Computer Science, Visvesvaraya Technological University

## Public links

- github: https://github\.com/deepaksinghcv
- deepaksinghcv\.github\.io: https://deepaksinghcv\.github\.io/

[View the original profile](https://tal.club/meet/deepak-singh-6)

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