Looking for a job

Gautam Malu

@gautammalu

Message

I build production computer vision systems for retail analytics, SKU recognition, and price validation at scale.

India

Message

What I'm looking for

I'm open to remote opportunities where I can build and lead production computer vision and machine learning systems, combining hands-on modeling with scalable data, review, and continuous retraining pipelines.

At Snap2Insight, I lead a three-person computer vision team delivering retail analytics across 100,000+ stores and four product categories.

I own production pipelines that process 500,000–800,000 images per month across 3,000+ SKUs, powering product detection, recognition, promotional execution, and price validation in dense supermarket aisles.

I designed a human-in-the-loop workflow that auto-clears about 75% of data and routes the remainder for targeted review, while continuous retraining keeps models improving from feedback. My hands-on stack includes Faster R-CNN, Detectron2, PyTorch, mixed-precision training and inference, and Prefect.

Previously, I built vehicle-detection pipelines at Deep Learn Labs and autonomous robotics systems using ROS and C++. I'm also a two-time Google Summer of Code contributor, published researcher, and provisional patent holder.

Experience

Work history, roles, and key accomplishments

Current

Team Lead, Computer Vision

Current

Snap2Insight Pvt Ltd

May 2018 - Present (8 years 4 months)

Lead a 3-person computer vision team delivering retail analytics across 100,000+ stores, including SKU-level reporting, promotional execution, and price validation. Own production pipelines processing 500k-800k images per month and designed a human-in-the-loop system with continuous retraining.

Faster RCNN Detectron2 PyTorch Mixed Precision Training Prefect Human In The Loop Continuous Training Product Detection SKU Recognition Pricing Validation

ML Consultant

Deep Learn Labs

Oct 2015 - Jun 2016 (8 months)

Built a vehicle-detection pipeline for traffic video, including an annotation server and validation of feature-based methods alongside deep learning approaches.

Object Detection Faster RCNN LBP Bing Motion Features Annotation Server

Software Developer

S-Labs

May 2014 - Apr 2015 (11 months)

Built a concurrent multi-boot system on the Xen hypervisor and a remote navigation system for DRDO using ROS and C++ to enable autonomous robots.

Xen ROS C++Multi Boot Remote Navigation Autonomous Robots

Education

Degrees, certifications, and relevant coursework

IIIT Hyderabad

MS, Electronics and Communication Engineering

2011 - 2019

Research-based MS degree in Electronics and Communication Engineering, including full-time thesis research, publications, and Google Summer of Code contributions from 2016 onward.