Astitv Bajpai
@astitvbajpai
I build deployed LLM agent systems, machine learning models, and production AI applications.
What I'm looking for
I've built NeuroResearch, a production-ready AI research pipeline where Research, Writer, and Critique agents collaborate in a self-correcting loop using LangGraph. The system triggers rewrites until it meets a critique quality threshold of 0.8.
I built Normal and Deep Research modes, configurable per-agent Hugging Face model selection, JWT authentication, bcrypt-secured SQLite storage, and live SSE streaming. I deployed the application to Hugging Face Spaces in a Docker container using Python, FastAPI, LangChain, and the Hugging Face Inference API.
I've also built GCN and GAT models for citation-network paper classification on the Cora dataset, achieving 85% accuracy through semi-supervised learning. I analyzed message passing and aggregation functions and visualized graph embeddings with t-SNE.
I'm a Data Science undergraduate pursuing AI engineering, agentic AI development, and machine learning engineering work.
Experience
Work history, roles, and key accomplishments
Data Science Undergraduate
Galgotias College of Engineering and Technology
Data Science undergraduate with hands-on experience building and deploying LLM-powered agentic systems, machine learning models, and production AI applications. Skilled in Python, agentic AI workflows, vector search, semantic retrieval, RAG, and MLOps.
Education
Degrees, certifications, and relevant coursework
Galgotias College of Engineering and Technology
Bachelor of Technology, Computer Science Engineering (Data Science)
Grade: CGPA: 7.5
Pursuing a Bachelor of Technology in Computer Science Engineering with a focus on Data Science, expected to graduate in May 2027.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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