Om Jindal

AI/ML Engineer with expertise in Computer Vision, Edge AI, and end-to-end AI product development. Skilled in building and deploying real-time video analytics, intelligent surveillance, and multi-model inference pipelines using(RF-DETR, YOLO), OpenCV, React.js, Docker, Next.js, FastAPI, PyTorch, and MongoDB.

AI / ML Engineer at On Time Lapse (2025-08 – Present)

• Built and owned a production construction timelapse platform (Next.js, 100+ REST APIs, MongoDB) for multi-site camera monitoring across live Australian construction sites.
• Deployed three Python FastAPI microservices (RF-DETR, YOLO+SAHI, RF-DETR 2XL) enabling 22-class detection—workers, PPE (hard hat / no hard hat), cranes, excavators, and heavy equipment.
• Architected Node.js background workers with hourly scheduling, MongoDB job queue, concurrency control, and stale-job recovery; integrated Dropbox and PhotoSentinel for automated ingestion and GPU inference routing.
• Implemented safety analytics—PPE compliance scoring, equipment-hours tracking, weather-correlated insights (OpenWeather, BOM, SenseCAP)—and automated weekly safety reports with alert generation.
• Built FFmpeg/Sharp media pipeline with EXIF extraction; documented PM2 production rollout across distributed multi-port AI service topology.

Project Engineer at Plaksha University (2024-01 – 2025-07)

• Engineered AI-driven IoT solutions with TinyML and Edge AI on Raspberry Pi, Arduino, and NVIDIA Jetson for low-latency on-device inference.
• Built real-time computer vision pipelines for object detection, activity recognition, and multi-object tracking on resource-constrained edge hardware.
• Designed GPU-accelerated ML architectures with MLOps workflows for model deployment, versioning, lifecycle management, and production monitoring.
• Conducted R&D on AI-powered automation for smart-device interaction and industrial IoT applications.

Software Development Intern at ITJOBXS (2022-09 – 2022-11)

• Designed and developed a fully responsive e-commerce storefront as part of the company's product website.
• Built reusable UI components with React, Styled Components, HTML/CSS/JS, and MongoDB-backed data integration.

B.Tech. in Computer Science & Engineering – Guru Nanak Dev University (2020 – 2024)