---
title: "Digvijay Mishra - Senior Computer Vision Research Engineer in Hyderabad | Tal"
description: "Meet Digvijay Mishra, Sr. Computer Vision Engineer | Ex - Pepperfry | M.Tech @ IIT Bombay based in Hyderabad. AI stack includes cursor, opencode, and claudecode. Explore public work links including github."
image: "https://tal.club/meet/digvijay-mishra/share-image"
---

# Digvijay Mishra on Tal

## Headline

Sr\. Computer Vision Engineer \| Ex \- Pepperfry \| M\.Tech @ IIT Bombay

## About

I’m a Senior Machine Learning Engineer with 4\+ years of experience delivering high\-impact, production\-ready solutions by combining research, execution, and team leadership\. My work focuses on turning complex problem statements into scalable, reliable systems that drive clear business outcomes\. At Transpacks Technologies \(IIT Kanpur–incubated\), I’ve owned initiatives end\-to\-end—from research and concept validation to production rollout—consistently driving significant improvements in accuracy, efficiency, and scale\. I’ve led R&D for new product lines, translated ideas into validated proofs of concept, and optimized large\-scale systems processing millions of real\-world transactions with strict performance constraints\. Beyond individual contribution, I actively mentor engineers, manage cross\-functional teams, support data collection and experimentation efforts, and play a key role in hiring and technical interviews\. I enjoy building high\-ownership teams, setting clear technical direction, and creating processes that enable both speed and quality\. I’m driven by solving real\-world problems, delivering measurable impact, and helping teams move from experimentation to execution at scale\.

## Location

Hyderabad

## AI stack

cursor

opencode

claudecode

## Work experience

Senior Computer Vision Research Engineer at Checko, Apr 2024 \- Present · 2 yrs 5 mos, IIT Kanpur, Uttar Pradesh, India, \- Redesigned and deployed a MobileNetV3\-based multi\-class CNN pipeline using fastai, boosting accuracy from 87% → 99\.93% while using 50% less training data and achieving 3× faster training; integrated the optimized model into a mobile application via ONNX \+ OpenCV for real\-time counterfeit tag detection in production\. \- Led end\-to\-end R&D for a mobile\-integrated anti\-counterfeiting product, spanning research paper analysis, physical tag design, and algorithm development\. Built real\-time image registration, blur detection, and unclonable pattern generation pipelines to enable reliable fake\-vs\-genuine classification, delivering a production\-ready PoC\. \- Optimized and productionized classical OpenCV\-based quality\-control algorithms, improving accuracy by \~40% while processing 4\+ crore labels/month at \~10 ms per image; translated Python pipelines into high\-performance C\+\+ DLLs for deployment\. \- Improved an ORB/KAZE\-based image matching system, reducing matching failures by 14% and achieving \~1 false cross\-match per 5 million image pairs; deployed on Google Cloud to support accuracy\-critical, real\-time mobile workflows\. \- Mentored and led teams across R&D and hiring, guiding 2 interns, managing a 5\-member in\-house data collection team, and conducting 50\+ technical interviews for engineering roles\.

Computer Vision Research Engineer at Checko, Apr 2023 \- Apr 2024 · 1 yr 1 mo, Hyderabad, Telangana, India

Machine Learning Engineer at Pepperfry, Jul 2022 \- Mar 2023 · 9 mos, Mumbai, Maharashtra, India, \- Developed a high\-performance Visual Search Engine with YOLOv5 \(0\.43 mAP\) for object detection and VGG19 \(0\.96 accuracy\) for image classification, built upon a scalable microservice architecture\. The system incorporates a cosine similarity\-based recommendation system with VectorDB and a robust development pipeline utilizing Python, TensorFlow, FastAPI, Docker, Git/GitLab, PyTest, and Locust\. \- Implemented a 3D object classifier using PointNet to automate category tagging, reducing manual effort by categorizing 5000 \.obj files into eight distinct categories with 90% accuracy\. This was achieved by conducting EDA and data cleaning to convert 3D objects into a PointCloud dataset using Open3D, enabling efficient training and high\-performance classification\.

Academic unit representative for academic affairs at Indian Institute of Technology, Bombay, Jun 2021 \- Jun 2022 · 1 yr 1 mo, \- Resolved academic grievances and registration related issues for 110\+ department students \- Presented Post Graduation Academic Council \(PGAC\) in department\-level orientation \- Planned and executed Alumni talks for students to gain upper\-hand with interview preparation \- Assisted the event sub\-committee in organizing a resume\-building session at the institute level

Teaching Assistant at Indian Institute of Technology, Bombay, Jan 2021 \- Jun 2022 · 1 yr 6 mos, \- Coordinating with the professor to prepare material for online classes for students \- Conducting weekly two doubt sessions to clarify any difficulty faced by students \- Provided additional learning support through tailored follow\-up materials, including session recordings, summary notes, and practice assignments to aid in student comprehension and retention\.

## Education

Master of Technology \- MTech, Chemical Engineering, Indian Institute of Technology, Bombay

Bachelor of Technology, Chemical Engineering, Gujarat Technological University

## Public links

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

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

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