Prateek Mehra

Applied ML Engineer building production computer vision systems

4 years experience · Bengaluru

Built and deployed production computer vision pipelines serving 100M+ images/month across batch and real-time workloads.

450+ outlets 100M+ images/month 40k+ daily inferences 0.947 mAP@0.5

Experience

Applied ML Engineer - Data Tech, EatClub Brands (Box8)

Bengaluru · 2022 — Present

  • Built and deployed production computer vision pipelines for operational auditing, anomaly detection and OCR across 450+ outlets.
  • Owned end-to-end ML lifecycle: data curation → training → deployment → monitoring → iterative threshold tuning.

Currently exploring: edge AI · real-time CV · multimodal systems · low-latency inference

Skills

ML: PyTorch, TensorFlow, OpenCV, scikit-learn
Systems: Airflow, Docker, Linux, real-time inference
Infra: AWS, GCP, monitoring, cloud-edge deployments
Languages: Python, SQL

Tinkering on weekends

JalLijiye : JalLijiye: Real-time hydration monitoring using YOLOv8n, lightweight inference optimization and heuristic-driven activity tracking.

Where did I apply : Chrome extension for tracking job applications across platforms.

Where did I apply demo

Minimal Eisenhower : Minimal task management app based on the Eisenhower Matrix.

Minimal Eisenhower demo