Sourabh Dubey

About Sourabh Dubey

I am a dynamic and results-driven Machine Learning Engineer with over 3 years of hands-onexperience in developing and deploying advanced AI solutions across various domains, includingDeep Learning, Computer Vision, and Generative AI. My expertise lies in building and optimizing end-to-end machine learning pipelines, from data preprocessing and model training to real-timedeployment on both edge and cloud platforms. I have a proven track record of delivering high-accuracy solutions for international clients, showcasing my ability to translate complex businessrequirements into scalable ML-driven solutions.Throughout my career, I have developed a strong command over various technologies andframeworks, including PyTorch, TensorFlow, and advanced architectures such as CNN and RNN. Iam passionate about driving AI innovation and operational efficiency, and I thrive in collaborativeenvironments where I can mentor cross-functional teams. My key achievements include leading thedevelopment of a smart parking management system that increased parking space utilization efficiency by 30% and achieving over 98% detection accuracy using YOLOv9 for car detection in real-time applications.Key Achievements- Achieved 98%+ detection accuracy using YOLOv9 for car detection in parking lots, significantlyenhancing model precision for real-time applications- Led the development of a smart parking management system, resulting in a 30% increase in parking space utilization efficiency- Implemented a Vision Transformer-based Object Re-Identification model, achieving over 80%accuracy for vehicle identity matching across multiple camera angles- Deployed a real-time LPR detection pipeline using YOLO + LPRNet on NVIDIA Jetson AGX,delivering 25 FPS at 1080p resolution via DeepStream-based inference- Enhanced OCR accuracy for multilingual documents through a custom data generation andaugmentation pipeline.

Experience

1. Machine Learning Engineer

   Aimonk Labs Private Ltd

   Apr 2022 — Present · Bengaluru, IN

   In my current role as a Machine Learning Engineer at AIMonk Labs, I lead the end-to-end design, development, and deployment of machine learning models across various computer vision and generative AI projects. I manage and mentor a cross-functional AI team, ensuring that project timelines and model performance goals are consistently met. My collaboration with US-based clients allows me to translate their business requirements into scalable ML-driven solutions. I focus on implementing and refining model inference workflows for real-time performance using edge computing devices, driving the integration of OCR and LPR solutions into custom applications for document processing and smart parking systems.Achievements- Successfully led client demos that contributed to project wins- Reduced edge inference latency by 28% by implementing model optimization techniques across deployment stacks- Played a pivotal role in scaling the OCR solution to support 04 new language formats in under 05 weeks- Enabled integration of OCR pipelines into client production systems with a deployment success rate of 97%.

Education

• SRM Institute of Science and Technology (SRMIST)

  Bachelor of Technology, Mechanical Engineering

  2014 — 2018

• MATS University, Raipur

  Master of Business Administration - MBA, Finance, General