I am an AI and Machine Learning Engineer with strong expertise in Deep Learning, Computer Vision, Signal Processing, Embedded AI, and IoT systems. I have hands-on experience working on real-world defense and research-grade projects, including an internship at DRDO (Defence Research and Development Organisation) and advanced AI research projects at NIT Rourkela.
I specialize in end-to-end AI solutions, from problem formulation and data preprocessing to model development, optimization, and real-time deployment on edge devices.
What I can help you with:
Machine Learning & Deep Learning model development (CNN, SVM, XGBoost, LightGBM)
Computer Vision solutions (image classification, detection, enhancement, fog/low-visibility processing)
Signal & Audio Processing (spectrograms, sonar/acoustic analysis, MFCC, VMD)
Embedded & Edge AI (ESP32, real-time inference, model optimization, quantization)
IoT systems with AI integration (sensors, LoRa, automation, smart systems)
Time Series Forecasting (energy, demand, sensor data)
Data preprocessing, feature engineering, model evaluation, and optimization
Cloud deployment and APIs (FastAPI, Google Cloud)
Why work with me?
Experience with production-grade and defense-level AI projects
Strong focus on accuracy, efficiency, and real-time performance
Clean, modular, and scalable code
Clear communication and structured problem-solving approach
I support clients from idea validation and technical consultation to deployment and optimization, ensuring reliable, efficient, and scalable AI-driven solutions tailored to real-world constraints.
If you are looking for serious AI engineering work, not just experiments, I’m the right professional to work with.