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Hemasai Narni

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

Bengaluru

1+ year of work experience

Avathon
Jul 20251 yr 3 mosPresent

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
Jaguar Land Rover India
May 20243 mosJul 2024

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

Hemasai’s AI Stack

antigravity
antigravity
claude code
claude code
grok
grok
ChatGPT
ChatGPT

Education

INDIAN INSTITUTE OF TECHNOLOGY KANPUR

Bachelor of Technology, Computer Science

INDIAN INSTITUTE OF TECHNOLOGY KANPUR

20214 yrs2025

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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

Hemasai Narni - Software Engineer in Bengaluru | Tal