Are you looking to integrate Artificial Intelligence directly into your hardware, IoT devices, or industrial workflows without relying on slow, expensive cloud processing?I am an AI & Embedded Systems Engineer specializing in Edge AI, TinyML, and Computer Vision. With over a decade of experience in firmware engineering and embedded systems (ARM, Cortex, ESP32) combined with up-to-date Machine Learning expertise, I bridge the gap between physical hardware and intelligent algorithms.I help startups and industrial clients build AI solutions that run faster, consume less power, and operate entirely offline when necessary.My Core AI Expertise:Edge AI & TinyML: Deploying lightweight machine learning models (TensorFlow Lite, PyTorch Mobile) directly onto microcontrollers and edge devices.Computer Vision: Real-time object detection, quality control inspection, and facial recognition using OpenCV and YOLOv8.Predictive Maintenance & IoT AI: Analyzing sensor data (temperature, vibration, voltage) from industrial equipment (like 33kV solar grids) to forecast failures before they happen.Custom RAG & NLP Pipelines: Building internal chatbots and automated document parsers that query your private data securely using LangChain and OpenAI.Technical Stack:AI/ML: Python, TensorFlow Lite, PyTorch, Scikit-Learn, OpenCV, LangChain.Embedded/Hardware: C, C++, ARM9, ESP32, Keil, Hardware-in-the-Loop (HIL) testing.Data/Cloud: AWS, FastAPI, SCADA integration, MQTT, Vector Databases.Whether you need a smart camera system for manufacturing defect detection, an AI model that predicts solar grid performance, or an automated testing framework for your embedded products, I deliver robust, production-ready solutions.Let's discuss how we can make your hardware intelligent. Send me a message to get started!Portfolio Projects to Upload (The "Proof")

When uploading these to your portfolio, use strong visual thumbnails (even if they are just clean diagrams of the system architecture).

1.



Edge AI Computer Vision System for Industrial Inspection

- Role: Lead AI & Embedded Engineer
- Description: Developed a lightweight Machine Learning model deployed directly onto an ARM processor to perform real-time visual defect detection on a manufacturing line. The system uses an integrated digital camera and processes images locally (TinyML) without cloud latency, identifying anomalies with 98% accuracy and triggering automated alerts via TCP/IP.
- Skills Tagged: Computer Vision, TensorFlow Lite, Embedded C, Edge AI, ARM Processors, OpenCV.

2. Predictive Maintenance AI for Solar Energy Grids

- Role: Machine Learning Engineer
- Description: Built an AI-driven predictive analytics pipeline for high-voltage (33kV) solar transmission infrastructure. By ingesting historical sensor data (voltage fluctuations, temperature), the machine learning algorithm forecasts hardware fatigue and schedules predictive maintenance, reducing unexpected grid downtime by 30%.
- Skills Tagged: Predictive Analytics, IoT, Machine Learning, Python, Scikit-Learn, Time Series Forecasting.

3. AI-Powered Smart Security & Anomaly Detection System

- Role: Embedded AI Developer
- Description: Upgraded a traditional microcontroller-based security system by integrating Edge Machine Learning. The system fuses data from smoke, fire, and motion sensors and uses a trained classification model to differentiate between false alarms (e.g., a pet moving) and genuine security threats, drastically reducing false positive alerts.
- Skills Tagged: IoT Security, Sensor Fusion, Embedded Systems, Python, Anomaly Detection.

4. Automated AI Firmware Testing & Simulation Framework

- Role: QA Automation & AI Engineer
- Description: Designed an AI-assisted testing framework that learns from historical firmware bug data to auto-generate edge-case test scripts for embedded hardware. This automated the verification process and significantly reduced the time-to-market for new embedded products.
- Skills Tagged: Automated Testing, Firmware, Python, CI/CD, Machine Learning.

Work Location: Remote

📌 Artificial Intelligence Engineer (India)
🏢 Embetron System Solutions
📍 India