Pradeep Argal
@pradeepargal
I build production AI systems, serverless backends, and robotics applications with Python, AWS, and React.
What I'm looking for
I built Safety Eye for Infosys Springboard, retraining YOLOv8 to achieve 80% mAP and delivering real-time construction-site safety monitoring through React, WebSockets, FastAPI, Docker, and AWS ECS.
At Mento.in, I led backend development for a mental wellness platform serving 5,000+ users. I architected a serverless AWS Lambda and DynamoDB backend, integrated PhonePe payments with idempotent transaction handling, and automated scheduling through Google Calendar and Meet APIs.
I've also worked on autonomous wheelchair navigation at CAIR–IIT Mandi using ROS, SLAM, LiDAR, and RealSense cameras, alongside generative AI, computer vision, and embedded FTIR gas-detection projects.
Experience
Work history, roles, and key accomplishments
AI/ML Engineer Intern
Infosys Springboard
Nov 2024 - Jan 2025 (2 months)
Built Safety Eye, a real-time construction site safety monitoring system, retraining YOLOv8 on a custom dataset to achieve 80% mAP and reduce false detections by 8%. Engineered a live video inference pipeline with React, FastAPI, and WebSockets, and containerized the full stack with Docker Compose for deployment on AWS ECR/ECS.
Education
Degrees, certifications, and relevant coursework
Medi-Caps University
Bachelor of Technology, Robotics and Automation Engineering
2022 -
Grade: 7.7/10.0
Pursuing a Bachelor of Technology in Robotics and Automation Engineering with a GPA of 7.7/10.0.
Availability
Location
Authorized to work in
Job categories
Skills
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