Summary
Suresh Saini is a Lead AI Engineer with 11 years’ experience building production-grade computer vision and conversational video AI systems, currently driving advanced GenAI and VLLM initiatives at Target from Bengaluru. He has end-to-end expertise in object detection, tracking, scene text detection/recognition and video analytics using YOLO, CNN/RNN/CRNN/LSTM and TensorFlow, and has architected scalable ML pipelines for real-time and offline applications. Comfortable across the stack, he pairs hands-on model development with systems work (Django, PostgreSQL, Big Data) and IoT-enabled vision deployments. A practiced project manager, he routinely coordinates vendors and cross-functional teams to meet tight schedules and deliver measurable business outcomes. Beyond engineering, he contributes to standards-setting and enjoys applying AI toward industrial and national development goals, reflecting a long-term commitment to India’s technological growth. An unexpected strength is his blend of research-led innovation and practical robotics/IoT experience dating back to early-career embedded and remote sensing projects.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Technology (B.Tech.) Electronics and Communications Engineering, Bachelor of Technology (B.Tech.) Electronics and Communications Engineering at Government Engineering College, Ajmer, Rajasthan, India
SR. Secondry Mathematics, SR. Secondry Mathematics at SSBN Jaipur, Rajasthan
Hindi, English