Open to Junior AI/ML Engineer roles

Hi, I'm Janak Adhikari.
I build AI systems that ship.

AI/ML Engineer specialising in RAG pipelines, multi-agent workflows, and MLOps. I build end-to-end systems with FastAPI, LangGraph, and Docker — from experiment to deployment.

Selected projects
01
Agentic Risk Detection RAG System
Production-grade multi-agent AI risk detection system deployed on Render Combines LangGraph agentic workflows, RAG retrieval, and traditional ML for hybrid risk analysis.
FastAPI LangGraph FAISS MLflow Prefect Docker Render
02
PDF RAG Chatbot
Retrieval-Augmented Generation chatbot that answers questions from uploaded PDF documents using semantic search, FAISS vector embeddings, and a local LLM via Ollama.
Python LangChain FAISS Hugging Face Ollama Streamlit
03
Risk Decision ML API System
Machine learning API for loan risk prediction using logistic regression, with MLflow experiment tracking, Prefect orchestration pipelines, and full Docker containerisation.
FastAPI Scikit-learn MLflow Prefect Docker
03
SkySense
Dynamic weather prediction app that leverages Bayesian inference to provide accurate, real-time weather forecasts based on user input and environmental data.
Streamlit OpenWeatherMap API Bayesian Probability Inference
About

I'm an aspiring AI/ML Engineer based in Aylesbury, UK, with hands-on experience building production-oriented machine learning systems, LLM-powered RAG applications, and multi-agent AI workflows.

Currently enrolled in MSc in Artificial Intelligence at Buckinghamshire New University. I'm particularly interested in uncertainty-aware decision making, AI orchestration, and scalable backend architectures.

Python FastAPI LangChain LangGraph RAG FAISS Scikit-learn MLflow Prefect Docker Ollama Hugging Face Streamlit REST APIs Git Prompt Engineering
Get in touch

Best way to reach me is by email.

[email protected] GitHub LinkedIn Resume / CV