Jayant Singh Bhati

Go · Python · C++ · PyTorch · CUDA · GStreamer · FFmpeg

• Contributed to an end-to-end Video Management System (VMS), focusing on backend microservices and video analysis.
• Developed microservices in Go and Python for video capture, storage, and retrieval from cameras, integrating FFmpeg for efficient processing.
• Engineered MongoDB and Redis infrastructure for streamlined video data management and inter-microservice communication.
• Enhanced video analysis pipelines using Python and C++, integrating ML models for advanced video processing.
• Collaborated within a multidisciplinary team to achieve project milestones and communicate technical insights.

C++ · OpenCV · GStreamer · TensorFlow · PyTorch · DeepSort

• Developed an end-to-end pipeline for speed detection at a client site.
• Utilized C++ and OpenCV with GStreamer for efficient feed capturing from cameras.
• Implemented YOLOv8 for accurate vehicle detection in captured frames.
• Employed DeepSort for vehicle tracking and speed prediction.
• Used Kalman filter for precise speed estimation and Cosine Metric learning for vehicle reidentification.

C++ · OpenCV · GStreamer · MinGW · CMake · Ctypes · Python

• Developed a Camera Feed Capture pipeline using C++, OpenCV, and GStreamer to process feeds from multiple cameras.
• Implemented dynamic camera initialization from JSON using OpenCV with GStreamer and Boost Library.
• Utilized multi-threading and dynamic batching for efficient processing of large camera arrays.
• Integrated the C++ pipeline with Python using Ctypes for real-time frame sharing.
• Embedded the project with existing systems, ensuring smooth camera feed capture and inference.

Python · JAX · Flax · Jit

• Explored Quantum Monte Carlo methods for stochastic simulations.
• Developed ML algorithms for simulating probability distributions using JAX and Flax.
• Simulated material quantum states with Markov chains, incorporating unsupervised learning and physics principles.