With over 11 years of experience in Cloud Computing, IoT, Hybrid Applications, Machine Learning (ML), MLOps, and Computer Vision technologies, I am a dedicated and innovative Research and Development Team Lead at Safran Engineering Services, a global leader in engineering and technology for the aviation industry. My mission is to design and deploy connected products that revolutionize the aircraft cabin experience by leveraging intelligent, low-power edge devices and scalable cloud platforms.
I lead a dynamic team of software engineers in creating IoT, AIoT, and cloud-based solutions that integrate edge computing, deep learning, and computer vision to enhance passenger comfort, safety, and overall satisfaction. My role involves architecting hybrid MLOps platforms that seamlessly combine the strengths of cloud and edge computing, as well as building and managing data lakes capable of processing vast datasets.
I excel at collaborating with cross-functional stakeholders to define requirements and ensure that solutions align with strategic goals. I oversee the team's technical roadmap and project delivery while driving innovation in AI-Accelerated Edge Computing, a key differentiator in advancing aviation technology. My expertise and leadership are instrumental in delivering cutting-edge, high-impact solutions for the industry.
Leading the development of a transformative Generative AI tool using LLMs and Amazon Bedrock. Responsible for architecting scalable cloud solutions, implementing cybersecurity best practices, and managing a cross-functional, cross-region team to deliver high-impact AI applications for enterprise use.
Specialized in deploying AI solutions across industries, including aviation and IoT. Expertise in MLOps, custom model development, and deploying AI at scale using frameworks like TensorFlow, PyTorch, and OpenVINO. Experience in designing ML pipelines for training, inferencing, and edge optimization.
Proven track record of designing IoT systems that integrate low-power edge devices with cloud platforms. Skilled in IoT protocols like MQTT, CoAP, and LoRaWAN, and platforms such as AWS IoT Core. Developed AI-accelerated edge solutions for remote and constrained environments.
Hands-on experience with SoCs like Raspberry Pi, ESP32, and Intel MyriadX. Skilled in computer vision projects using OpenCV, with applications ranging from object detection to OCR models optimized for edge devices.
Experienced in managing cross-functional teams and driving innovation. Demonstrated ability to bridge technical depth with strategic goals, leading to impactful results in high-stakes projects like Connected Enterprise Cloud Platform and Smart Trolley Tracking.
As a freelancer I've undertaken many training sessions and developed couple of projects on Software and Hardware platforms. I also gained an experience on working projects with remote partners world wild. I've delivered morethan 300+ Training sessions across India and Delivered 10+ Corporate trainings.
I've got an oppurtunity to develop and implimients many recent technologies. Also I got an opportunity to manage a team of 21 junior research engineer and an opportunity to extend my managerial skills.
I've developed many Mini Projects and organized several workshops. Apart from learning technical content college life also helped me to enhance my leadership qualities.