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About me (Registered since 02/11/2025)
Experienced Lead Software Engineer – AI / Computer Vision with 4+ years of hands-on expertise in building, deploying, and scaling production-grade machine learning systems. Specialized in Computer Vision, Deep Learning, and MLOps, with strong backend experience using Python, PyTorch, FastAPI, and Docker. Proven ability to design robust inference pipelines, implement edge-optimized CV models, and lead end-to-end AI infrastructure development from concept to production.
At Carscan.ai, led initiatives in vehicle damage detection, background removal, and AR-based image generation — achieving high-performance models and reliable production pipelines. Passionate about building clean, maintainable systems and leading small, high-performing teams that bridge research and engineering.
Skilled in:
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Deep Learning & Computer Vision: Object detection, segmentation, saliency modeling, and GANs
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Backend & MLOps: Flask, FastAPI, MySQL, Jenkins, Helm, Argo, feature stores, and scalable inference
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Cloud & DevOps: AWS/Azure, Docker, and GPU optimization
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Leadership: Mentoring, technical ownership, and collaboration across data, annotation, and engineering teams
Always eager to explore LLMs, text generation, and new AI innovations that connect research to real-world applications.
Tech Skills
Portfolio
Education
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June 2017 - October 2020
Mumbai university
bachelor of engineering (Mechatronics engineering)
India
Graduated with a GPA of 8.1. While the program combined mechanical, electronic, and computing disciplines, my strongest focus was on programming and software development, where I built a solid foundation in automation, control logic, and intelligent systems. This blend of skills naturally led me toward AI and Computer Vision, where I could apply both analytical and engineering principles to solve complex real-world problems.
Work Experience
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April 2024 - Present
carscan, India
Lead SDE - AI
Led a small team with strong emphasis on technical ownership, ensuring stable production systems, robust MLOps pipelines, and high data quality. Trained and guided annotation teams to align labeling standards with model requirements. Improved damage detection model accuracy by up to 40% and contributed to the development of model monitoring and performance tracking pipelines.
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March 2023 - April 2024
carscan, India
Computer Vision Engineer II
Designed and trained fine-grained vehicle damage detection models, gaining deep expertise in object detection and instance segmentation. Implemented the SSD architecture from scratch to create a lightweight model for edge deployment. Proposed and led the productionization of a per-instance vector search system. Architected and deployed complete AI infrastructure, including high-performance inference pipelines, GPU-optimized workflows, a feature store, and robust model/dataset versioning using MySQL, FastAPI, Git, Jenkins, Helm, and Argo for full ML lifecycle management.
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March 2021 - March 2023
carscan, India
Computer Vision Engineer
Maintained and optimized a Flask-based backend, ensuring stability and performance during early product development. Delivered a background removal model with 98% pixel-level accuracy and built an AR-ready 360° spin generator from still car images. Also contributed to saliency detection, image stabilization, and GAN-based shadow generation for realistic vehicle imagery.
Certifications & Licences
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2020
Deep Learning Specialization
Completed a comprehensive five-course program covering Neural Networks, CNNs, Sequence Models, and Optimization techniques. Gained hands-on experience building and training deep learning models using TensorFlow and Python, with a particular interest in applying these concepts to Computer Vision tasks.
