Production AI engineer who's shipped multi-agent architectures and RAG pipelines that hold up under real traffic — not just notebooks. Built the AI review system running inside Longani's Word/PowerPoint add-ins today, and co-architected the SQL Assistant at Worter Technologies before that. Registered IP holder in AI-powered SQL generation, and the kind of engineer who reads the LangChain source closely enough to file a bug against it.
Upload a dataset, ask a question in plain English. A LangGraph pipeline cleans it, validates, retries on failure, runs EDA and root-cause analysis, generates charts, and profiles the data — end to end.
Hours of manual analysis → minutes.
A real-time assistant that watches video, audio, and mouse activity to understand what you're doing and offer context-aware help, without you having to explain your screen to it.
Multivariate sales forecasting with feature engineering and root-cause analysis, MLflow-tracked training across Linear Regression, Random Forest, and XGBoost.
R² > 0.99, MSE < 3, sub-50ms p95 serving.
Give it a dataset and a question in plain English — it cleans and validates the data, automatically branches into supervised or unsupervised ML, trains and evaluates the model, then explains the result in plain language.
Auto-detects classification vs. regression vs. clustering, then builds, trains, and runs the model itself.
Reported a KeyError in PIIMiddleware affecting hash and mask redaction strategies — with a minimal, self-contained repro a maintainer could run as-is, in langchain-ai/langchain, the framework his own production systems are built on.
↗ issue #35647Led a 5-person team to build an autonomous vehicle with real-time object detection, avoidance, and turn navigation using Raspberry Pi, Arduino, OpenCV, and sensor fusion, hitting ~85% real-world accuracy.
2nd place at Exault, a college project competition.
A.P. Shah Institute of Technology, Thane — 2021 to 2025.
CGPA 9.3
Rao Junior College of Science — 2019 to 2021.
95%