I’m a builder who likes turning messy, real-world problems into clean, usable systems. I care about performance, clarity, and real utility over buzzwords.
* Currently: Building AI/ML and RAG pipelines at Tautomatic AI — focusing on practical automation, not toy demos.
* Open Source: Actively shipping PRs to projects like MetaCall and Hushh AI and PSMRI.
* Specialties: Long-form data (videos, documents, unstructured text) and going from raw data → model → usable interface.
* Grind: Consistently grinding DSA to stay sharp on fundamentals.
* Looking for: Environments where learning speed matters more than titles. If it solves a real problem, I’m interested.
Experience
Tautomatic AI —
AI & Software Engineering Intern
* Architecting and deploying agentic Retrieval-Augmented Generation (RAG) pipelines focused on eliminating AI hallucinations.
* Automating complex data workflows and contributing directly to the engineering and successful launch of the company's flagship product.
* Processing long-form, unstructured data to build scalable models and highly usable backend interfaces.
