
Mayank Dewangan
@mayankdewangan
I build agentic AI workflows, backend services, and local-first knowledge systems.
What I'm looking for
I'm building agentic AI workflows and backend systems at Maahaa.dev, where I created an adaptive coaching workflow with LangGraph, Gemini, and FastAPI. I also developed an ingestion and triage pipeline that reduced manual triage by 50%+.
My projects include Manthan, a local-first conversational knowledge system, EdgeMason for automated ONNX model optimization, and NanoGPT, a Transformer training and inference service. I work across Python, Go, FastAPI, local LLMs, Docker, evaluation, observability, and retrieval systems.
Experience
Work history, roles, and key accomplishments
AI/ML Engineering Intern
Maahaa.dev
Jun 2026 - Present (3 months)
Built an end-to-end adaptive AI coaching workflow using LangGraph, Gemini, and FastAPI, converting user assessments into persistent multi-step intervention plans and structured agent state. Developed a multi-source ingestion and triage pipeline across external APIs using BM25 filtering, DOI deduplication, and LLM relevance gating, reducing manual triage by 50%+.
Education
Degrees, certifications, and relevant coursework
International Institute of Information Technology, Naya Raipur
B.Tech, Data Science and Artificial Intelligence
Grade: 8.88 / 10.0
Activities and societies: Relevant Coursework: Data Structures & Algorithms, Operating Systems, Distributed Computing, Reinforcement Learning, Representation Learning, Database Management Systems.
Pursuing a B.Tech in Data Science and Artificial Intelligence with an expected graduation in 2028. Achieved a CGPA of 8.88 out of 10.0.
Availability
Location
Authorized to work in
Portfolio
github.com/MayankDew08Salary expectations
Skills
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