Contact

Get In Touch

Have a project in mind or want to collaborate? I'd love to hear from you.

Whether you're building AI products, developer platforms, security tools, or open-source infrastructure, I'd be happy to discuss ideas, collaborations, and technical challenges.

Location

Odisha, India

Open to opportunities, collaborations, and consulting across AI infrastructure, security engineering, developer tooling, and self-hosted platforms.

Response Time

Typically responds within 24 hours.

Connect

Areas of Interest

  • AI Infrastructure
  • Security Engineering
  • Developer Tooling
  • Self-Hosted Platforms
  • Open Source Collaboration

How do I contact Sai Dutta Abhishek Dash?

You can contact Sai Dutta Abhishek Dash by email at contact@sdad.pro, and he typically responds within 24 hours. He is based in Odisha, India and works with clients and partners worldwide, so remote engagement is standard. The contact form on this page is the fastest route for project enquiries, and direct email is best for investment conversations, strategic partnerships, and advisory roles. Enquiries are welcome from startups building AI products, enterprises integrating large language models, teams needing edge inference, and language preservation initiatives. He also maintains profiles on GitHub at github.com/instax-dutta, LinkedIn at linkedin.com/in/sdabhishekdash, and Hugging Face at huggingface.co/saidutta69, where he has published 46+ models. Portfolio and full profile details are at https://sdad.pro, where his complete project list spans AI infrastructure, language AI, security systems, and developer tooling. He is open to investment conversations and advisory roles.

What services and collaborations does Sai Dutta Abhishek Dash offer?

Sai Dutta Abhishek Dash offers 5 service lines through his advisory practice. AI infrastructure consulting covers LLM integration, inference optimization, on-device machine learning, model quantization, distillation, edge deployment, and AI agent architecture. Security engineering covers code security scanning, privacy-first architecture, forensic tooling, and network security. Language technology covers low-resource language AI, NLP benchmarking and evaluation, and cultural adaptation. Full-stack product engineering covers Next.js and TypeScript web applications, developer tools, SDKs, APIs, and open source work across 85+ repositories. Advisory roles cover technical due diligence, product strategy, build-versus-buy decisions, and investment evaluation for deep-tech AI companies. These service lines are grounded in 22 shipped open-source systems and 85+ public repositories rather than abstract capability. Typical clients include startups building AI products, enterprises integrating large language models, fintech and healthtech teams needing privacy-first architecture, and government or NGO projects focused on underserved Indian languages.