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Mandeep0402/README.md

Hi πŸ‘‹, I'm Mandeep Jaglan

AI & ML Engineer β€” video pipelines, computer vision & MLOps

🌐 mandeep0402.github.io Β· πŸ’Ό LinkedIn Β· πŸ“« mandeepjaglan04@gmail.com


AI & ML engineer with 4+ years of experience across data analytics, NLP pipelines, computer vision systems, and MLOps infrastructure. Currently an AI Infrastructure Engineer at Streamingo.ai, where I build end-to-end video processing pipelines, RAG-based SQL intent systems, OCR/ReID workflows, and scalable ETL infrastructure on GCP. B.Tech in Computer Science from IIIT Bhagalpur.

πŸ”­ What I work on

  • Video Processing & ML Infra β€” RabbitMQ + Redis pipelines orchestrating VLM inference on 2,000–4,000 videos/day across multi-GPU fleets; Jenkins CI/CD from video recording to results delivery
  • Computer Vision β€” basketball broadcast β†’ top-down 2D minimap pipeline with YOLOv9/v11, SAM 2, BoxMOT, homography, Kalman filtering, team ReID & jersey OCR
  • NLP & LLM β€” natural language β†’ intent β†’ BigQuery SQL pipelines with schema-aware prompt engineering and automated chart/insight generation

πŸ“¦ Open Source (PyPI)

Package Description
VideoProcToolkit Video download, multi-backend frame extraction (FFmpeg/OpenCV/Decord), trimming, concatenation, FPS/resolution conversion, thumbnails & metadata
basketball_datakit NBA/NCAA play-by-play, box scores, event classification, lineup tracking, ESPN scraper fallback & name normalization

πŸ›  Skills

  • Languages: Python, SQL, PySpark, C/C++, Shell Scripting
  • Data & Cloud: BigQuery, GCP/GCS, AWS S3, Snowflake, Hadoop, Hive, Docker
  • MLOps & Infra: Jenkins CI/CD, RabbitMQ, Redis, ETL Pipelines
  • CV & ML: YOLOv9/v11, SAM 2, BoxMOT, Homography, OCR, ReID, Kalman Filter
  • NLP & LLM: RAG Pipelines, Prompt Engineering, LLM Fine-tuning, Claude API
  • Libraries & Tools: Pandas, NumPy, Scikit-learn, TensorFlow, FFmpeg, OpenCV, Git, Linux, Power BI

πŸ’Ό Experience

  • AI Infrastructure Engineer β€” Streamingo.ai (Oct 2024 – Present)
  • SDE 2, Machine Learning β€” Nanonets, via Crewscale (Mar 2024 – Sep 2024)
  • Associate Data Analyst β€” Comscore (Jan 2022 – Feb 2024)

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