Suresh Saini
Bengaluru, Karnataka, India
Summary
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SeniorSuresh 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
Github Skills (28)
lambda9
serverless-functions8
nodejs8
faas7
functions-as-a-service7
golang7
esp82667
openfaas7
k8s7
arduino7
docker7
serverless7
gitops6
paas6
prometheus6
Programming languages (6)
Github contributions (5)
bababoss/baba-Robo
Jun 2015 - Jan 2019
Contributions:5 pushes, 3 branches in 3 years 7 months
bababoss/audio_labelling
Jan 2019 - Mar 2020
Contributions:5 commits, 26 pushes in 1 year 2 months
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