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
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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
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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
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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
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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