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Vishnu Mukundan Thanikunathe Manoj
Junior AI/ML Engineer specializing in LLM agents, explainable AI, and computer vision
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Robotics/computer-vision engineer with industrial safety monitoring experience, building real-time pose estimation (TRTPose) and 2D-to-3D localization and optimizing pipelines to sustain 30+ FPS under heavy multi-entity load. Also brings edge-to-cloud distributed systems work (HoloLens + Google Vision/Translation) and production ML deployment experience using Docker/CI/CD across finance and edge camera environments.
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Key Strengths
- Optimized real-time object tracking pipeline from ~45ms/frame to ~12ms/frame via profiling and NumPy vectorization
- Delivered stable 30+ FPS with 10+ tracked entities for industrial safety monitoring
- Hands-on experience building 2D-to-3D localization for factory-floor object/worker positioning
- Evaluated and benchmarked tracking approaches (SORT/DeepSORT/ByteTrack) to balance speed vs accuracy
- Built distributed edge-to-cloud pipeline (HoloLens to Google Vision/Translation) with asynchronous communication and latency/failure handling
- Production deployment experience with Docker and CI/CD for ML workflows (AWS Bedrock, PyTorch/SHAP, Rekognition)
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