Yogesh is a MLOps Engineer with 5+ years of experience in developing and deploying machine learning solutions. He specializes in building scalable ML pipelines and integrating advanced AI technologies.
Developed and optimized real-time product detection system for retail carts using YOLO.
Built and deployed advanced AI chatbots leveraging LangChain and LLM models.
Implemented scalable machine learning pipelines for data preprocessing and production deployment.
Developed a real-time product detection system ensuring accuracy by comparing with scanned barcodes.
Designed and fine-tuned real-time object tracking algorithms for traffic congestion detection.
Overview: Developed a retail product detection system for smart carts, leveraging computer vision to automatically identify products added to the cart. Responsibilities: Implemented video processing to identify product changes and developed image cropping functionality. Integrated and fine-tuned a YOLO model for robust product detection.
Key outcomes:
Ensured accuracy of product detection by comparing with scanned barcodes.
Overview: Designed and maintained an advanced chatbot using LangChain and LLM technologies. Responsibilities: Developed and maintained the advanced chatbot using LangChain and LLM technologies. Implemented retrieval and generation techniques to enhance conversational capabilities.
Key outcomes:
Optimized computational efficiency by utilizing multiple GPUs for inference tasks.
Overview: Developed an object tracking and jam analysis system using the TensorFlow framework. Responsibilities: Developed and optimized the codebase for object tracking and jam analysis using Python, TensorFlow, and OpenCV.
Key outcomes:
Designed and fine-tuned real-time object tracking algorithms.
Overview: Developed a cryptocurrency trading platform leveraging AI-driven strategies for generating trade signals. Responsibilities: Developed the backend of the trading platform and integrated Binance APIs for real-time market data.
Key outcomes:
Ensured data integrity and security.
Key outcomes:
Developed the backend of a cryptocurrency trading platform.
Integrated Binance APIs for real-time market data and ensured data integrity and security.
Yogesh
MLops Developer