An AI/ML engineer turning math, code, and GPUs into intelligent systems — building with Python, PyTorch, TensorFlow, deep learning, reinforcement learning, and generative AI.
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
I'm an AI/ML engineer working at the intersection of deep learning, reinforcement learning, and generative models. I build end-to-end systems for recommendation, time-series forecasting, computer vision, and autonomous agents.
Lately I've been deep in production LLM systems: governed multi-agent workflows, enterprise RAG, hybrid retrieval, evaluation, and guardrails that make intelligent systems reliable.
📍 Pune, India · remote-friendly
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.
A selection of AI/ML systems I've designed, trained, and shipped.
A production-style multi-agent accounts-payable platform that ingests invoices, scores fraud and risk, routes approvals, and auto-pays safe invoices through six governance layers with audit trails, PII protection, OCR, and real LLM providers via LiteLLM.
A production-grade LangGraph RAG system for Kubernetes operations with hybrid retrieval, reranking, HyDE, CRAG, Self-RAG, Text2SQL approval gates, semantic caching, and a nine-layer guardrails pipeline.
A minimal GPT built from scratch to demystify how transformer language models really work — every moving part, no black boxes.
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.
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.
A Seq2Seq neural machine-translation engine that translates between English and Marathi using full-sentence context rather than word-by-word substitution.
A Pygame self-driving car that learns to navigate tracks on its own using Proximal Policy Optimization (PPO) deep reinforcement learning.
A real-time computer-vision pipeline that monitors intersections, detects traffic signals and zebra crossings, and flags vehicles that violate stop protocols.
An RNN with LSTM layers that forecasts Google stock prices from historical time-series data with a rolling lookback window.
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.
A movie recommendation system using Restricted Boltzmann Machines for collaborative filtering, learning latent factors from user–movie interactions.
Deep dives on architectures, research, and the ideas shaping modern AI.
CausalFM is a transformer-based foundation model trained on causal data so it can reason about cause and effect rather than mer...
Read articleA detailed exploration of VL JEPA, Meta AI’s Vision-Language Joint Embedding Predictive Architecture.
Read articleA comprehensive blog on OpenAI's CLIP model, explaining how it connects vision and language.
Read articleA deep dive into Transformer architecture, its components, variants, challenges, and future directions.
Read articleTransformers++ explores advanced innovations in attention, scalability, multimodality, and efficiency.
Read articleExploring Titans architecture and the MIRAS framework for scalable, memory-efficient AI.
Read articleMy professional path, education, and the skills I'm building on.
Ensuring software quality through testing, automation, and process improvements while deepening my AI/ML foundations on the side.
Building AI/ML systems with a focus on deep learning, reinforcement learning, and production-grade intelligent systems.
Foundation in electronics, communication systems, and software engineering.
Have a project, a question, or just want to talk AI? I'd love to hear from you.
The fastest ways to get in touch — no forms, no scripts, just a message away.