I’m a programmer and research-inspired engineer who thrives on building computer vision, deep learning, and niche AI products that move the needle. I’ve led cross-functional teams to deliver high-performance, production-grade applications across healthcare, manufacturing, marketing, and smart city domains. My work blends theoretical rigor with practical engineering to turn complex video analytics and AI requirements into scalable, measurable results. I specialize in domain-specific agentic RAG systems and multi-modal AI solutions, with experience deploying across Azure, AWS, and Google Cloud. I’m passionate about governance, bias monitoring, and responsible AI practices, ensuring safe, compliant deployments while driving data-driven decision making and tangible business impact.

Rakesh Chowdary Vunnam

I’m a programmer and research-inspired engineer who thrives on building computer vision, deep learning, and niche AI products that move the needle. I’ve led cross-functional teams to deliver high-performance, production-grade applications across healthcare, manufacturing, marketing, and smart city domains. My work blends theoretical rigor with practical engineering to turn complex video analytics and AI requirements into scalable, measurable results. I specialize in domain-specific agentic RAG systems and multi-modal AI solutions, with experience deploying across Azure, AWS, and Google Cloud. I’m passionate about governance, bias monitoring, and responsible AI practices, ensuring safe, compliant deployments while driving data-driven decision making and tangible business impact.

Available to hire

I’m a programmer and research-inspired engineer who thrives on building computer vision, deep learning, and niche AI products that move the needle. I’ve led cross-functional teams to deliver high-performance, production-grade applications across healthcare, manufacturing, marketing, and smart city domains. My work blends theoretical rigor with practical engineering to turn complex video analytics and AI requirements into scalable, measurable results.

I specialize in domain-specific agentic RAG systems and multi-modal AI solutions, with experience deploying across Azure, AWS, and Google Cloud. I’m passionate about governance, bias monitoring, and responsible AI practices, ensuring safe, compliant deployments while driving data-driven decision making and tangible business impact.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

AI Engineer at Sports Vision Inc.
December 1, 2024 - November 14, 2025
Built a multi-camera exercise analysis system using YOLOv8 pose estimation and SVM classification to automatically detect exercise repetitions and compute 200+ biomechanical metrics across front, side, and diagonal views for objective performance assessment. Developed V-DWT-JEPA2 architecture with LLM decoder for advanced sports video understanding, and created a domain-specific chatbot with post-training QA optimization using LLaMA family models. Designed a multi-agent architecture enabling real-time coordination between video analytics and coaching components; deployed via Azure cloud-native services with containerized microservices, and implemented an LLM-based evaluation framework with guardrails for safety and correctness.
Full Stack AI Solutions Engineer at Vizworld Inc.
November 1, 2024 - November 1, 2024
Led cross-domain AI initiatives spanning healthcare, manufacturing, and marketing. Built agentic RAG systems with multi-modal embeddings and reranking, implemented video-to-document pipelines and browser extensions for real-time knowledge capture, and deployed scalable ML pipelines on AWS/Azure with governance and auditing. Architected autonomous agents for real-time coaching insights and integrated LLM-driven safety and compliance checks.
Power BI Developer at Cognizant
December 1, 2022 - December 1, 2022
Developed end-to-end data analytics solutions, created advanced DAX calculations, automated data refresh pipelines, and built real-time IT service dashboards. Implemented row-level security and governance, led migration of legacy reports to Power BI, and produced mobile-optimized dashboards for on-the-go decision making.
Jr. Data Scientist (Intern) at Orbitshifters India Private Limited
October 1, 2021 - October 1, 2021
Assisted in developing a sports analytics system using computer vision, annotated and preprocessed 250,000 video frames, implemented basic pose estimation and motion tracking, and built visualization dashboards to communicate performance metrics to coaches and athletes.

Education

Masters in Engineering Management at St. Cloud State University
January 11, 2030 - January 1, 2024
Bachelor of Technology, Electronics and Communication Engineering at GITAM Deemed to be University
January 11, 2030 - January 1, 2021

Qualifications

AWS Certified AI Practitioner
January 11, 2030 - November 14, 2025
AI Engineer Associate, Microsoft Azure
September 1, 2025 - November 14, 2025
Microsoft Certified: Azure Fundamentals
September 1, 2023 - November 14, 2025
Power BI Data Analyst Associate
May 1, 2023 - November 14, 2025
Python (Coursera & DeepLearning.AI)
August 1, 2018 - November 14, 2025

Industry Experience

Healthcare, Manufacturing, Media & Entertainment, Government, Software & Internet