Ritesh Yadav
AI ML Engineer (L3 L4) at 66degrees
Delhi, India
Summary
🤩
Rockstar🎓
Top SchoolRitesh Yadav is an AI/ML Engineer with six years of hands-on experience building and scaling production-grade ML and GenAI platforms, currently focused on conversational and generative AI at 66degrees. He has strong MLOps and cloud-native expertise—Kubernetes, ArgoCD, Docker, Knative and Kafka—used to deploy low-latency LLM inference and event-driven ingestion pipelines in financial-scale systems. At Intellect he engineered multi-agent GenAI workflows, cache-augmented retrieval, and LLM observability/evaluation pipelines that emphasize latency, safety, and automated quality metrics. A Kaggle Master, TensorFlow-certified developer and active OSS contributor, he blends full-stack data science with DevOps rigor to move models from research to resilient production. Based in Delhi, he also mentors and organizes community learning initiatives, reflecting a knack for translating complex ML concepts into practical, scalable solutions.
6 years of coding experience
6 years of employment as a software developer
Specialization, Deep Learning, Specialization, Deep Learning at CourseraCompleted Schooling., Completed Schooling. at Army Public School,KanpurUndergraduate, Computer Engineering, Undergraduate, Computer Engineering at Jaypee University of Engineering and Technology
Github Skills (200)
lucky-framework10
neural-network10
python10
artifact10
storage10
tensorflow10
gatsbyjs10
mental-health10
evaluation10
machine-learning10
high-availability10
fabric10
installer10
deep-learning10
monitoring10
Programming languages (15)
Github contributions (5)
Comet-AI/Comet.Box
Dec 2020 - Aug 2021
Collection of Object Detection and Segmentation Pipelines🛸🚀
Contributions:1 review, 130 commits, 36 PRs in 7 months
pytorchdeep-learningobject-detectioncomputer-visionpipelines
DARK-art108/Bank-Note-Authentication
Oct 2020 - Nov 2021
Contributions:32 commits, 24 pushes, 2 branches in 1 year 1 month
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