
I'm Atin — a product builder with 10+ years of experience shipping AI-powered software.
I've led products at startups and built tools used by some of the biggest companies in healthcare and consumer tech. I've worked with surgeons, Fortune 500 product teams, and early-stage founders.
These days, I split my time between my full-time role at an AI company and helping founders turn their ideas into real products.
I got into this because I kept meeting smart people with great ideas who couldn't find a reliable technical partner. The freelancer market is full of noise — overpriced agencies, unreliable contractors, and people who disappear mid-project.
I wanted to offer something different: senior-level product thinking, fast execution, and clear communication. A small, trusted network of senior engineers — and one point of contact you can always reach.
A journey through innovative projects and impactful solutions
San Francisco, CA (Remote)
• Led end-to-end product ownership for AI-assisted spinal implant identification platform used by Fortune 500 medical device client, reducing manual identification effort by 4,000+ hours annually and delivering $2M+ in recurring enterprise value.
• Built custom image and video annotation platform for Fortune 500 consumer appliances company, improving ML development velocity by ~40% through optimized data and labeling pipelines.
• Led early-stage product discovery with US-based top plastic surgeon for automated burn severity classification, building mobile ML-powered PoC to validate technical feasibility and clinical workflows.
Istanbul, Turkey (Remote)
• Partnered with the founder to drive feature prioritization, UX decisions, and roadmap execution for a mobile-first platform serving blue-collar workers, translating user needs into production-ready mobile workflows.
• Delivered real-time mobile features with a focus on usability, performance, and scalability, improving reliability of core user journeys and enabling early platform growth.
Pune, India
• Led end-to-end product discovery and development for an ingredient-based recipe recommendation app, defining product scope and UX, and validating key user workflows through early usage and feedback.
Pune, India
• Built ML-driven pipelines to automate large-scale biomedical literature processing (500k–1M+ publications), reducing manual research effort by ~80%, eliminating 70k+ analyst hours, and saving $300k–$600k+ in operational costs for Fortune 500 pharmaceutical clients.
Academic foundation with international research experience
Bangalore, India
• Advanced certification in Deep Learning focusing on foundations and applications in Artificial Intelligence.
Jaipur, India
CGPA: 7.77/10
• Completed summer internship at Czech Technical University in Prague on medical imaging algorithms.
Recognition and research contributions in the field
Developed a Dropbox plugin for ImageJ using Java and Dropbox v2 APIs, enabling seamless integration of cloud storage for image processing tasks.
Highly competitive selection rate (≤ 15%)
Secured a $1,000 USD travel grant to present research at IEEE ICIP 2013.
Achieved 3rd place in the multi-spectral imaging category among 35+ participants worldwide.
"2-SiMDoM: A 2-Sieve Model for Detection of Mitosis in Multispectral Breast Cancer Imagery"
20th IEEE International Conference on Image Processing 2013, Melbourne, Australia
"Scalable System for Classification of White Blood Cells from Leishman Stained Blood Stain Images"
HIMA Workshop, 15th International Conference on Medical Image Computing and Computer-Assisted Intervention 2012, Nice, France
The skills and experience that help you go from idea to launched product
Ready to discuss your next project? I'd love to hear about your ideas and explore how we can bring them to life.