Rohit Dhankar is an Associate Manager in ML Engineering with a decade of experience building applied AI and computer vision solutions across enterprises. He currently focuses on LLMs, generative AI and retrieval-augmented systems using tools like LangChain, LlamaIndex and Snowflake Cortex while previously delivering production object-detection pipelines with YOLOv4, Detectron2 and edge deployments for clients such as Waste Management. Rohit blends hands-on Python and deep learning expertise (TensorFlow/Keras, OpenCV, PyTorch) with project leadership experience from roles at Accenture, HCLTech and several startups. He has a practical track record of moving models to production—optimizing mAP, precision/recall and on-device inference—and explores semi-supervised and active learning workflows. A Northwestern certificate in Predictive Business Analytics complements his technical background, and his long history of open-source demos and videos reveals a penchant for evangelizing complex computer-vision ideas. Notably, his career path includes prior leadership in HR and a commissioned stint as an Army Major, reflecting strong cross-domain discipline and people-management skills.
10 years of coding experience
14 years of employment as a software developer
Certificate in Predictive Business Analytics from Bridge School, Business Analytics, Certificate in Predictive Business Analytics from Bridge School, Business Analytics at Northwestern University
Contributions:58 commits, 22 PRs, 20 pushes in 4 months
deep-learningpythonmachine-learningmain-repo
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