Satyam Bhalerao
Pune,Maharashtra
Summary
Computer Vision and Generative AI Engineer with 2 years of practical experience in Natural Language Processing and Computer Vision. Skilled in Python, machine learning, and modern deep learning frameworks. Successfully improved user query accuracy by 35% through a RAG-based chat-bot and reduced manual data entry by 50% with a real-time computer vision application. Experienced in building scalable AI solutions for both cloud and edge environments, with a strong focus on efficiency, optimisation, and real-world impact. Passionate about developing innovative AI systems that address real-world challenges and contribute meaningfully to next-generation intelligent technologies.
Overview
2
2
years of professional experience
Work History
Software Product Analyst
Bluebenz digitization
09.2023 - Current
- Designed and deployed a real-time computer vision system for beverage identification using YOLO + OpenCV, achieving 50% reduction in manual data entry and optimized for edge inference on Jetson Nano.
- Developed an Inventory Management System handling video streams with YOLO on 5 SKUs, optimized with TensorRT for low-latency edge deployment.
- Implemented dataset preprocessing and augmentation pipelines to improve model robustness for CV tasks.
- Researched and applied model optimization techniques (quantization, pruning, and knowledge distillation) for efficient edge deployment.
- Built and deployed RAG-based and Text-to-SQL chatbots, demonstrating expertise in both LLMs and multimodal AI systems.
- Collaborated with MLOps teams for deploying CV and NLP models using Docker, Git, and CI/CD pipelines, ensuring production scalability.
- Mentored junior developers on deep learning model training, inference optimization, and deployment workflows.
Education
Bachelor of Technology - Computer Science & Engineering
MIT ADT University
Pune,Maharastra05.2023
Skills
- Computer Vision: Object Detection, Classification, Segmentation, Pose Estimation, Tracking, OCR, Video Stream Processing
- Deep Learning: PyTorch, TensorFlow, YOLO, FLAN-T5, OpenCV (classical DL-based CV)
- Optimization & Deployment: Model Quantization, Pruning, Knowledge Distillation, TensorRT, ONNX Runtime, Edge AI (Jetson Nano), Cloud Deployment
- Data Pipelines: Dataset Curation, Preprocessing, Augmentation, Annotation, Real-Time Video Streams
- MLOps & Tools: Docker, Git, CI/CD, Model Serving, FastAPI, Flask, WebSocket
- Generative AI & NLP: RAG, LLMs, LangChain, LangGraph, Conversational AI, TTS/STT
- Soft Skills: Collaboration, Mentorship, Knowledge Sharing
Timeline
Software Product Analyst
Bluebenz digitization
09.2023 - Current
Bachelor of Technology - Computer Science & Engineering
MIT ADT University
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