
Abhinav Uniyal
@abhinavuniyal
I build reliable AI products using LLMs, agents, automation, and full-stack systems.
What I'm looking for
I've built practical AI products around LLM routing, audio intelligence, and AI-powered collaboration, with a focus on making outputs more reliable, testable, and useful in real workflows.
In ModelMux, I developed an LLM router using MCP workflows, Node.js, Docker, and free LLM APIs. By routing coding subtasks to appropriate local or free-tier models, I reduced token consumption in the development workflow by 50–70%.
For Decomposer, I created a full-stack audio analysis platform using React, Next.js, FastAPI, PostgreSQL, Demucs, and Docker to identify chords, key, and song sections from real-world music. I also built CollabMate, a real-time student team-matching platform that uses LLM-based recommendations around skills, interests, and project requirements.
I've contributed as a Blockchain Developer and Business Development Intern at Lagom Chain and led developer-community initiatives through Google Developer Groups. I'm completing a B.Tech in Artificial Intelligence and Machine Learning and enjoy taking projects from technical planning through execution and communication.
Experience
Work history, roles, and key accomplishments
Lead & Co-Lead
Google Developer Groups (GDG)
Jan 2024 - Jan 2026 (2 years)
Led developer-community initiatives and coordinated technical sessions, workshops, and events with students, speakers, and organizing teams.
Blockchain Developer & Business Development Intern
Lagom Chain
May 2025 - Nov 2025 (6 months)
Developed blockchain solutions aligned with business needs and collaborated with team members to shape solutions and communicate technical ideas clearly.
Education
Degrees, certifications, and relevant coursework
Chandigarh Group of Colleges, Landran
Bachelor of Technology, Artificial Intelligence & Machine Learning
2023 -
Grade: 7.1 CGPA
Pursuing B.Tech in Artificial Intelligence & Machine Learning with a CGPA of 7.1.
GBSS No. 1, New Delhi
Intermediate, General Studies
Grade: 69%
Completed Intermediate (CBSE) with 69%.
Sanjo School, Uttarakhand
Matriculation, General Studies
Grade: 89%
Completed Matriculation (ICSE) with 89%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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