AI/ML Expert · Python Developer · IoT Innovator
"Building intelligent systems where AI meets real-world impact."
AI/ML Engineer specializing in intelligent systems that combine Machine Learning and IoT — turning raw data into real-world impact.
Currently completing my B.E. in Computer Science & Engineering at Sanmati Engineering College, Washim. My work bridges the physical and digital worlds, designing scalable architectures that think, learn, and adapt.
From architecture design to production deployment — full lifecycle ownership.
Merging edge intelligence with embedded systems for autonomous behavior.
Every model and system is built with production constraints in mind.
Sanmati Engineering College, Washim · Final Year
A carefully honed stack for building production-grade AI and IoT systems.
Production-grade systems where machine intelligence meets physical infrastructure.
A fully offline, low-cost campus tracking system leveraging ESP32 microcontrollers and Bluetooth Low Energy for precision indoor positioning — no GPS required.
An intelligent voice assistant with real-time speech recognition and natural language understanding for autonomous command execution.
End-to-end machine learning pipeline with advanced feature engineering, model selection, and hyperparameter optimization for high-accuracy predictions.
A context-aware chatbot capable of maintaining multi-turn conversations with coherent, intelligent responses across diverse domains.
Recognized for exceptional leadership in technical projects.
Led organization of technical and cultural college events.
Competitive cricket player — teamwork, discipline, strategy.
Deep-diving into the intersection of AI, edge computing, and physical systems.
Investigating affordable, infrastructure-free indoor positioning systems using Bluetooth mesh topology — making enterprise-grade tracking accessible at scale.
Developing signal-processing algorithms to reduce multipath interference in Bluetooth RSSI readings, achieving sub-meter indoor accuracy without specialized hardware.
Exploring deployment of lightweight ML models on embedded hardware (ESP32, microcontrollers), enabling autonomous AI decisions without cloud dependency.
Researching feedback-loop architectures that let AI-driven systems self-optimize based on real-world sensor data, reducing manual intervention in complex deployments.
Whether it's an AI system, an IoT deployment, or a Python backend — I'm always open to exploring ambitious ideas and meaningful collaborations.
I'm actively looking for roles in AI/ML engineering, IoT system development, and Python backend — full-time or internship. Let's build something that matters.
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