Headline

Project Associate at Indian Institute of Science (IISc) | ML Systems | LLMs | AI Agents | RAG

About

I am a Machine Learning Engineer with a background in applied machine learning research. During my M.Sc. in Data Science, I worked on EEG-based schizophrenia classification using graph neural networks and LSTM models. This research was published in Biomedical Signal Processing and Control (Elsevier). As a Junior Research Fellow at NIT Raipur, I worked on graph-based machine learning for cybersecurity threat detection using large-scale provenance data, along with federated learning for distributed threat detection. More recently, I have been building ML and GenAI applications, including RAG and agentic AI systems, using Python, PyTorch, LangGraph, and LangChain. Currently looking for opportunities in Machine Learning and AI Engineering.

Location

Mumbai Metropolitan Region

AI stack

claude code

codex

cursor

hugging face

langgraph

obsidian

Work experience

Project Associate at Indian Institute of Science (IISc), Sep 2026 - Present · 2 mos, Banglore

Junior Research Fellow at National Institute of Technology Raipur, Jul 2024 - Feb 2026 · 1 yr 8 mos, Raipur, Chhattisgarh, India, - Graph neural networks (GATv2, GIN) for APT detection on provenance graphs - 99%+ F1 on DARPA E3 - Federated learning across 3–10 heterogeneous clients using PyTorch and Flower - F1 >= 0.976 - Edge inference on Raspberry Pi 5 with model quantization

Education

Master of Science - MS, Computational Science and Applications [Data Science], Banaras Hindu University

Bachelor of Science - BS, Computer Science, DG Ruparel College of Arts, Science and Commerce

Public links

github: https://github.com/avnishs17

medium: https://medium.com/@avnishs17