Ai R&D Engineer - Technical Team Lead
Current- Managing and monitoring a team of 8-10 developers to build fleet of 90 AIpowered vehicles that automatically inspect city infrastructure defects usingcomputer vision - Leading the research, design and implementation of advanced machine leaningand data science solutions ensuring the successful integration with other teams.- Fine-Tuned LLMs, VLMs and Multimodal AI models and built AI agents usinghuggingFace, LangGraph and LlamaIndex- Deploying and monitoring deep learning models for image classification, objectdetection and image segmentation in production environments- Working on cross-functional projects, collaborating with MLops and Embeddedteams to integrate and deploy computer vision algorithms on edge devices suchas Jetson boards and mobile devices- Implemented SOTA model optimization algorithms, PTQ and QAT techniques.- Designed and built customized AI frameworks depend on Tritonserver anddeepstream in C++ and Python