Manish Deore

About Manish Deore

AI Engineer with 3+ years of hands-on experience building and deploying production-grade Computer Vision and Generative AI systems.Specialized in YOLO-based object detection, image segmentation, Retrieval-Augmented Generation (RAG), and LLM-powered automation integrated with scalable asynchronous backends using Python, REST APIs, RabbitMQ, and PostgreSQL.Delivered real-world AI solutions including large-scale road asset detection (92% mAP), traffic sign analysis, GenAI-based work automation, automated pull request review systems, and high-resolution satellite image segmentation using local LLMs.Strong background in model inference optimization, system integration, and end-to-end AI pipeline design from data preprocessing to production deployment.Currently exploring AI / Computer Vision / GenAI Engineer opportunities in Pune or Mumbai.

Experience

1. Software Developer (Artificial Intelligence)

   Ceinsys Tech Limited

   Jan 2023 — Present · Pune, IN

   AI Engineer working on production-grade Computer Vision systems with a strong focus on object detection, image processing, and image segmentation using deep learning and transfer learning techniques.Designed, trained, and fine-tuned YOLO-based object detection and segmentation models to extract meaningful features from large-scale image datasets, achieving measurable improvements in model accuracy and inference performance.Built robust end-to-end pipelines covering image preprocessing, annotation workflows, data augmentation, model training, evaluation (mAP, IoU), and deployment into scalable backend services.Integrated computer vision models into production systems using Python-based REST APIs, enabling efficient and reliable real-time and batch inference workflows.

Education

• Centre for Development of Advanced Computing (C-DAC)

  PG Diploma, Artificial Intelligence

• Savitribai Phule Pune University

  Bachelor of Engineering - BE, Mechanical Engineering

  2016 — 2020