// open to work · AI/ML Engineer · Bengaluru, India

Hey, I'm Aditya.

I build things that think. After 3+ years shipping production-grade engineering at Optum, I pivoted hard into AI/ML — building RAG pipelines, training classifiers, and obsessing over LLMs. If a problem can be solved with data and a model, I'm already thinking about it.

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3+
Years in Production
98%
Faster Runtime · 225s→5s
0.95
Email Classifier Macro-F1
8.54
GPA · NIT Silchar

// 01 — Where I've Been

Work Experience

Real-world engineering that ships, scales, and saves production — before I even got to ML.

Jul 2022 – Apr 2026 · Full-time

Software Engineer

Optum Global Solutions · Bengaluru, KA

  • Engineered Python automation frameworks integrated into Jenkins/Octopus CI/CD pipelines, eliminating manual workflows across release cycles.
  • Developed reusable API libraries in Python (GitHub) enabling repeatable, maintainable delivery across teams.
  • Replaced linear search with binary search in a critical script; worst-case runtime dropped from 225s to 5s (98% faster).
  • Automated database state resets via SQL Stored Procedure; cut per-cycle environment reset time by 10 minutes via a Python automation script.
  • Mentored team members and presented data-driven analyses to cross-functional stakeholders in an Agile delivery model.

// 02 — What I've Built

AI/ML Projects

Not toy examples — real pipelines solving real problems.

Generative AI · RAG · LLMs

Portfolio AI Chatbot

RAG-powered chatbot that answers questions about my portfolio using semantic search. Built with FastAPI, LangChain, FAISS, and OpenAI embeddings to retrieve context from resume PDFs and structured profile data. Designed for production deployment with efficient startup and reliable retrieval.

FastAPI LangChain FAISS OpenAI Embeddings GPT-4o-mini Python
View on GitHub →

Deep Learning · NLP · Privacy-First

Email Auto-Classifier & Labeler

A layered FastAPI microservice that connects to Gmail over OAuth 2.0 and auto-labels inbox mail into a fixed six-class taxonomy. Fine-tuned a local DistilBERT classifier via knowledge distillation — using GPT-4o-mini as a teacher to bootstrap the dataset — running fully on-device so email content never leaves the machine. Lifted macro-F1 from 0.67 to 0.95 with inverse-frequency class weights.

FastAPI PyTorch Hugging Face DistilBERT Gmail API OAuth 2.0
View on GitHub →

Generative AI · RAG · LLMs

RAG Document Chatbot

Answers questions over any PDF — with sources. Built a modular pipeline using LangChain, MiniLM embeddings, and a FAISS vector store. Prompt guardrails via TinyLlama. MMR deduplication for retrieval quality. Persistent index, CLI interface, production-minded from day one.

LangChain FAISS HuggingFace TinyLlama MiniLM Python
View on GitHub →

Machine Learning · NLP · Flask

Email Spam Classifier

End-to-end spam filter: TF-IDF n-grams + Logistic Regression with class balancing. Beats Naive Bayes baseline through thoughtful feature engineering and regex preprocessing. Served in real-time via a Flask API — not just a notebook, an actual product.

Python scikit-learn Flask TF-IDF NLP
View on GitHub →

// 03 — My Toolkit

Technical Skills

Hover to explore. Built through shipping, not just tutorials.

Programming
Python C++ SQL FastAPI
GenAI & LLMs
LangChain FAISS OpenAI API Hugging Face Transformers RAG Prompt Engineering Agentic AI Guardrails
Machine Learning
scikit-learn pandas NumPy TF-IDF Fine-tuning Knowledge Distillation
Deep Learning
PyTorch Transformers DistilBERT
Cloud & MLOps
Azure Cloud Docker Jenkins CI/CD

// 04 — Foundation

Education

B.Tech · Computer Science & Engineering

National Institute of Technology (NIT) Silchar

Jul 2018 – May 2022

8.54/10
CGPA

// 05 — Let's Connect

Get in Touch

Hiring for an AI/ML role? Exploring a Fiverr project? Just want to geek out about LLMs? I'm in.

✉️
Email
adityagupta.nits2@gmail.com
💼
LinkedIn
aditya-gupta-nitsilchar
⌨️
GitHub
tryadityagupta
🤖
Live Demo
ysadityagupta.co.in/
AG
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