LLM & Agents
microGPT-X
A minimal GPT built from scratch to demystify how transformer language models really work — every moving part, no black boxes.
Open to AI/ML opportunities
Hi, I'm Rushikesh Mohalkar
I build
AI/ML Systems
Deep Learning Models
Computer Vision
RL Agents
Generative AI
AI/ML Systems
A curious AI/ML engineer turning math, code, and GPUs into intelligent systems — exploring deep learning, reinforcement learning, and generative models that amplify human intelligence.
9+
ML Projects
18+
Articles Written
10+
Frameworks & Tools
∞
Curiosity
The future of AI isn't about replacing humans — it's about amplifying human intelligence. Machine learning teaches patterns, deep learning reveals hidden insights, and reinforcement learning shows us how to adapt.
Together, they're the building blocks of tomorrow's intelligent world.
— Rushikesh Mohalkar
About Me
The AI Odyssey — from curiosity to craft
✦ the story
Turning math, code & GPUs into real systems.
I'm an AI/ML engineer working at the intersection of deep learning, reinforcement learning, and generative models. I've shipped models for recommendation, time-series forecasting, and medical imaging — plus agents that learn to drive in simulators with PPO.
Lately I've been deep in LLM tooling: RAG from scratch, eval harnesses, and small autonomous agents that plan, critique themselves, and iterate toward a goal.
9+
Projects shipped
18
Articles written
🎯 currently exploring
RAG Pipelines
Autonomous Agents
LLM Evaluation
Model Deployment
Open to AI/ML roles
📍 Bengaluru, India · remote-friendly
🧠 technical arsenal
Python
PyTorch
TensorFlow
Deep Learning
Reinforcement Learning
Computer Vision
NLP
Generative AI
Transformers
RAG
LangChain
FAISS
Scikit-learn
NumPy
Pandas
Flask
Git
☕ fun fact
Once spent 48 hours straight debugging a neural net — only to find a typo in the loss function. AI teaches patience, persistence, and a healthy respect for coffee.
Featured Work
Projects that learn & adapt
A selection of AI/ML systems I've designed, trained, and shipped.
LLM & Agents
RAG Pipeline from Scratch
A complete Retrieval-Augmented Generation system with no LangChain and no vector-DB server — structure-aware chunking, hybrid search, reranking, contradiction handling, and an eval harness.
LLM & Agents
Oryza — Private Local LLM Chat
A privacy-first AI chat app that runs Qwen LLMs locally via Ollama — a minimal Python backend, a simple web UI, and optional Docker, for fast offline conversations with no cloud APIs.
NLP
Bhashantar — Neural Machine Translation
A Seq2Seq neural machine-translation engine that translates between English and Marathi using full-sentence context rather than word-by-word substitution.
Reinforcement Learning
SelfDriveRL — Autonomous Driving
A Pygame self-driving car that learns to navigate tracks on its own using Proximal Policy Optimization (PPO) deep reinforcement learning.
Computer Vision
Vahtuk Policia — Traffic Vision
A real-time computer-vision pipeline that monitors intersections, detects traffic signals and zebra crossings, and flags vehicles that violate stop protocols.
Deep Learning
Stock Price Prediction (LSTM)
An RNN with LSTM layers that forecasts Google stock prices from historical time-series data with a rolling lookback window.
LLM & Agents
RAG App — PDF Q&A
A RAG-based PDF question-answering system that retrieves relevant document chunks with FAISS and generates answers using a FLAN-T5 LLM — semantic embeddings, efficient retrieval, and a Gradio UI.
Machine Learning
Movie Recommender (RBM)
A movie recommendation system using Restricted Boltzmann Machines for collaborative filtering, learning latent factors from user–movie interactions.
Writing
Notes on AI & intelligence
Deep dives on architectures, research, and the ideas shaping modern AI.
Foundation Models for Causal Inference (CausalFM)
CausalFM is a transformer-based foundation model trained on causal data so it can reason about cause and effect rather than mer...
Read articleVL JEPA: A Deep Dive into Vision-Language Predictive Models
A detailed exploration of VL JEPA, Meta AI’s Vision-Language Joint Embedding Predictive Architecture.
Read articleUnderstanding the CLIP Model: Bridging Vision and Language
A comprehensive blog on OpenAI's CLIP model, explaining how it connects vision and language.
Read articleTransformers: The Architecture That Changed AI Forever
A deep dive into Transformer architecture, its components, variants, challenges, and future directions.
Read articleTransformers++: The Next Evolution in AI Architecture
Transformers++ explores advanced innovations in attention, scalability, multimodality, and efficiency.
Read articleTitans Architecture and the MIRAS Framework
Exploring Titans architecture and the MIRAS framework for scalable, memory-efficient AI.
Read article
Journey
Résumé & Experience
My professional path, education, and the skills I'm building on.
💼 Experience
July 2024 — Present
QA Engineer
CognizantEnsuring software quality through testing, automation, and process improvements while deepening my AI/ML foundations on the side.
Ongoing
AI/ML Engineer
Independent & Project-BasedBuilding AI/ML systems with a focus on deep learning, reinforcement learning, and production-grade intelligent systems.
🎓 Education
2019 — 2023
BE in Electronics & Telecommunication
AISSMS IOIT, Pune • SPPUFoundation in electronics, communication systems, and software engineering.
Contact
Let's build something intelligent
Have a project, a question, or just want to talk AI? I'd love to hear from you.
Reach out directly
The fastest ways to get in touch — no forms, no scripts, just a message away.