---
title: "Hemasai Narni - Software Engineer in Bengaluru | Tal"
description: "Meet Hemasai Narni, Software Engineer @ Avathon | IIT Kanpur CSE | ex-JLR based in Bengaluru. AI stack includes antigravity, claude code, and grok."
image: "https://tal.club/meet/hemasai-narni/share-image"
---

# Hemasai Narni on Tal

## Headline

Software Engineer @ Avathon \| IIT Kanpur CSE \| ex\-JLR

## About

I'm a software engineer working across computer vision and deep learning\. My current work is in applied CV, where I train detection, classification and pose models and build the real\-time inference pipelines that run them in production on DeepStream\. Beyond vision, I have experience in backend and web development, and I'm comfortable working with C, C\+\+ and Python\. I value ownership and technical depth\. I enjoy coding and algorithms, and I like understanding how systems work at a level below the one I'm working in\.

## Location

Bengaluru

## AI stack

antigravity

claude code

grok

ChatGPT

## Work experience

Software Engineer at Avathon, Jul 2025 \- Present · 1 yr 3 mos, Bengaluru, • Trained and iterated CNN and transformer\-based detectors \(YOLOv5, DEIM, DEIMv2\) for PPE compliance and person/vehicle detection across multiple customer deployments • Built an EfficientNet\-B0 classifier that replaced a pallet\-only detector so encroachment alerts catch obstructions of any type, and added ROI\-masking logic to suppress recurring false alarms • Designed a multi\-task EfficientNet\-B0 \+ FPN model for joint detection and segmentation, and applied the Lottery Ticket Hypothesis to prune 50% of weights while retaining \~98% of full\-model accuracy • Benchmarked detector architectures \(RF\-DETR, RTDETR, YOLOX, YOLO\-NAS, PP\-YOLOE\) on FPS, VRAM and accuracy for DeepStream 6\.2/8, and wrote a custom RF\-DETR parser for DeepStream 6\.2 • Implemented DeepStream use\-case logic for near\-miss and encroachment to enable real\-time inference and alerting • Built a YOLOv7 pose\-estimation pipeline for unsafe\-lifting detection, including the use\-case algorithm and UI field template • Migrated authentication from hardcoded session tokens to OAuth2/JWT with client\-credentials grant across six\-plus repositories

Software Engineer Intern at Jaguar Land Rover India, May 2024 \- Jul 2024 · 3 mos, Bengaluru, • Built a full\-stack web app in React \+ Vite and Django REST Framework to track and manage candidate profiles for the Coderace recruitment portal, with JWT authentication and Mailtrap SDK for automated email notifications • Implemented filtering, candidate tracking and application statistics to replace manual steps in the HR workflow • Built a web app to view, start and stop EC2 instances using AWS Lambda and API Gateway, removing the need for console access

## Education

Bachelor of Technology, Computer Science, INDIAN INSTITUTE OF TECHNOLOGY KANPUR

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

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