Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi there, I'm Alm Ukthar Sai, a curious ML enthusiast and web developer based in Chennai. I enjoy turning data into practical tools, building scalable web apps, and collaborating across teams to ship useful software. In my spare time I explore federated learning, deep learning, and real-time data processing, and I enjoy sharing knowledge through projects and open-source contributions.…

Alm Ukthar Sai

Web Developer, Full Stack Developer, Data Scientist, +2





Hi there, I'm Alm Ukthar Sai, a curious ML enthusiast and web developer based in Chennai. I enjoy turning data into practical tools, building scalable web apps, and collaborating across teams to ship useful software. In my spare time I explore federated learning, deep learning, and real-time data processing, and I enjoy sharing knowledge through projects and open-source contributions.…

Available to hire

Hi there, I’m Alm Ukthar Sai, a curious ML enthusiast and web developer based in Chennai. I enjoy turning data into practical tools, building scalable web apps, and collaborating across teams to ship useful software.

In my spare time I explore federated learning, deep learning, and real-time data processing, and I enjoy sharing knowledge through projects and open-source contributions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Work Experience

Full Stack Web Developer Intern

January 1, 2023 - April 1, 2023

Developed a web-based school attendance system using Angular, CSS, and HTML, with real-time tracking of student attendance.

AI/ML Developer at RAX TECH INTERNATIONAL

May 1, 2022 - June 1, 2022

Exported images to YOLO formats as datasets for the EVA software, focusing on object detection and alerting systems. Added perimeter breach detection and count processing features.

AI/ML Developer at EVA (Edge Video Analytics)

May 1, 2024 - October 1, 2025

Developed an image annotation tool supporting YOLO, XML, and JSON formats. Built a real-time video analytics system for monitoring individuals, using deep learning for object detection and tracking. Integrated Kafka for data streaming and Flask for API development. Deployed with Docker and Kubernetes to enable scalable processing.