Intel Unnatti Industrial Training

AI/ML Domain Member

Artificial Intelligence and Data Science

1. Preprocessed IBRD data for comprehensive analysis.
2. Developed visualizations to uncover trends and patterns in the data.
3. Integrated Large Language Models (LLMs) to enhance natural language data handling.
4. Improved data processing speed by 8.5x using NVIDIA Rapids libraries.

Intel Unnati Industrial Training Program

Zero-Downtime Edge OS (NixOS): Engineered a declarative, atomically-updating embedded operating system, completely eliminating "bricked" field devices and ensuring 100% reliable remote deployments.

Automated OTA Fleet Management: Architected the complete self-hosted CI/CD pipeline and custom binary cache architecture to enable seamless, secure Over-The-Air firmware updates at scale.

Low-Level Hardware Integration: Wrote custom device tree overlays to bridge industrial sensors directly with the OS, guaranteeing stable, low-latency telemetry routing.

End-to-End Encrypted Telemetry (ThingsBoard): Deployed a standalone, self-hosted Energy Management System to securely capture, process, and deliver real-time client data without relying on third-party cloud vendors.

Intern

Turning the world's plastic waste into tomorrow's innovations

System Engineer

Chief Technology Officer

Founder

to be done

devto

github

Know about Sudhanshu Atalkar's work experience, education, bootcamps, certifications, and much more. Sudhanshu Atalkar