Bimal Sagar

AI Researcher

Bengaluru, Karnataka, India2 yrs 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Passionate about tactical analytics in football.
Experience in AI and deep learning applications.
Strong foundation in computer vision and machine learning.

Stackforce AI infers this person is a skilled AI Engineer with a focus on Computer Vision and Deep Learning in the Manufacturing sector.

Contact

Skills

Core Skills

Computer VisionDeep Learning

Other Skills

Object DetectionQuality InspectionCollaborative RobotsRNNData StructuresGenerative AIDeepStreamGstreamerWebrtcLarge Language Models (LLM)Long Short-term Memory (LSTM)Stock MarketData PreparationData ScrapingNatural Language Processing (NLP)

About

I’ve had a bit of an unconventional journey. Along the way, I got pretty good at football and took a shot at going pro. But if you’re here reading my “About” section, you know that didn’t quite pan out. As it turns out, I really like Maths and Deep Learning. My dream is to explore tactical analytics in Football. I really want to do analytical research and one day, be part of the AI ecosystem at Chelsea Football Club!... but up until then you'll find me working towards it as a hobby. Scoring goals on and off the field, just in a different way now.

Experience

2 yrs 6 mos

Total Experience

1 yr 3 mos

Average Tenure

0 mo

Current Experience

Praval

AI Engineer

Jun 2026 – Present · 0 mo · Hyderabad, Telangana, India · Hybrid

Syook

Computer Vision Engineer

Apr 2025 – Jun 2026 · 1 yr 2 mos · Bengaluru, Karnataka, India · On-site

Tensorgo

Deep Learning Engineer

Dec 2023 – Apr 2025 · 1 yr 4 mos · Hyderabad, Telangana, India · On-site

Centre for industry 4.0 (c4i4) lab

AI Intern

May 2023 – Aug 2023 · 3 mos · Pune District, Maharashtra, India · On-site

Constructed a object detection pipeline for automated quality inspection and assurance, integrating collaborative robots (cobots) for synchronized image capture, optimized the inspection workflow to achieve an increase in operational efficiency.
Implemented RNN from scratch.

Object DetectionQuality InspectionCollaborative RobotsRNNComputer VisionDeep Learning