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Prityush Bansal

@user.2500272

Chief Technology Officer & AI Engineer

Gurugram, India

https://prityushbansal.in/

YugyogIndian Institute of Technology Delhi

Prityush Bansal is an accomplished AI Engineer and CTO with 2+ years of experience leading teams in developing innovative machine learning solutions across computer vision, NLP, and deep learning domains. He has designed AI products reducing manual video analysis by over 90% and led a team of engineers at CreateBytes to deliver complex AI systems for social media, legal accuracy detection, and facial recognition. Prityush holds a B.Tech from IIT Delhi and is passionate about advancing AI innovation.

Experience

Chief Technology Officer

Yugyog

•Mar 2024 - Apr 2024•Gurugram, India

Developed an AI product for video analytics, reducing manual video analysis by over 90%. Designed implementation architecture serving videos with less than 30 seconds latency. Implemented cutting-edge AI algorithms for human and object identification and tracking on real-time camera streams. Established and maintained on-premise servers, resulting in 60% decrease in overall IT costs.

Engineering Manager

CreateBytes

•Jun 2023 - Feb 2024•Gurugram, India

Led a team of 5 engineers to deliver multiple AI projects on time. Implemented Agile methodologies and cross-functional collaboration. Developed an AI-powered video processing system for social media content analysis and categorization. Created a custom OCR for data migration for armed forces. Created a social media recommendation algorithm for real-time post recommendations. Implementing a legal solution for accuracy detection on commercial labels with >95% accuracy.

Software Engineer (AI)

CreateBytes

•Jun 2022 - May 2023•Gurugram, India

Developed a suite of computer vision services for face detection, recognition, and analysis. Designed algorithms simulating Human Body Movements with >99% accuracy for car crash simulations. Created a PoC for CCTV-based facial recognition entrance exit solution with 98% accuracy. Worked on CNN (UNET) software for auto segmentation of human bones from X-rays and CT scans.

Education

Indian Institute of Technology Delhi

Bachelor of Technology

Production and Industrial Engineering

Skills

Python
C++
Rust
JavaScript
AI Strategy
Team Leadership
Large Language Models
CNN
RNN
LSTM
TensorFlow
PyTorch
Keras
Computer Vision
OCR
NLP
Statistical Analysis
Machine Learning
Deep Learning
Node.js