I am a Machine Learning Engineer and former Machine Learning Lead at Vigilantia Praesidium Pvt. Ltd., where I led the development of AI-driven systems across domains including smart security, agriculture, and automation. During my tenure, I focused on transforming research-level AI into scalable, real-world applications, taking ownership from model design to deployment. I specialize in Deep Learning, Computer Vision, and AI system design, with hands-on experience in building real-time solutions using technologies such as FaceNet, MTCNN, and OpenCV. I also have strong experience in integrating AI with IoT systems (ESP32), enabling seamless interaction between intelligent software and hardware. My work includes active involvement in Research & Development (R&D), where I explored innovative approaches, improved model accuracy, and optimized systems for real-time performance. Additionally, I have implemented secure AI solutions using cryptographic techniques such as ECC and AES, ensuring reliable and secure communication in hardware-integrated environments. I am passionate about building intelligent, real-world systems and continuously exploring advancements in AI, embedded systems, and secure infrastructure. I am currently open to opportunities in Machine Learning, AI, and Computer Vision roles where I can contribute to impactful and scalable solutions.
Python ProgrammingMachine LearningDeep Learning+26
