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Abhinav UniyalAU
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Abhinav Uniyal

@abhinavuniyal

I build reliable AI products using LLMs, agents, automation, and full-stack systems.

India
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What I'm looking for

I'm looking for opportunities to build practical AI, automation, and full-stack products, especially where I can work with LLMs, RAG, agents, APIs, and reliable real-world workflows while growing through collaborative technical teams.

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

LC

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

CL

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.

GD

GBSS No. 1, New Delhi

Intermediate, General Studies

Grade: 69%

Completed Intermediate (CBSE) with 69%.

SU

Sanjo School, Uttarakhand

Matriculation, General Studies

Grade: 89%

Completed Matriculation (ICSE) with 89%.

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