Rami Reddy Devaram
I am a PhD-qualified Data Scientist and AI Engineer with over nine years of hands-on experience building and deploying end-to-end AI systems across various sectors.
About
I am a PhD-qualified Data Scientist and AI Engineer with over nine years of hands-on experience building and deploying end-to-end AI systems across various sectors. I excel at turning complex data into practical AI solutions, from training and fine-tuning traditional deep learning models to deploying LLMs and VLMs in production. I enjoy collaborating with cross-functional teams to solve real-world problems and continuously learn new tools to push the boundaries of AI.
My strengths include multimodal AI, real-time data pipelines, and cloud-native MLOps. I have hands-on experience with agentic AI, RAG pipelines, and microservices using Ray, vLLM, and Kubernetes. I’m passionate about delivering production-grade AI services for security, robotics, and enterprise use cases, and I continuously explore new techniques to enhance performance, reliability, and impact.
- 11 years' experience
- Joined February 2026
Industry experience
- Education
- Software & Internet
- Government
- Manufacturing
- Professional Services
- Media & Entertainment
More experts in Abu Dhabi, United Arab Emirates
Work experience· 9 roles
NDA in effect; leading AI initiatives to transform defense radar systems with AI capabilities, focusing on agentic AI and advanced retrieval-augmented generation (RAG) within production-grade AI microservices.
Built multiple AI agents with function calling in a single platform to address real-world problems across sectors. Led fine-tuning and deployment of LLMs and traditional DL models via microservices and SDKs. Built Ray Serve microservices with vLLM to serve MyWhoosh, Comera, and MizMiz applications for real-world problems like eKYC, real-time face verification, content moderation, and detection. Developed RAG pipelines and agent-based bot systems.
Developed micro-services for real-time facial recognition, anomaly detection, ReID, and ID document verification. Built scalable pipelines using Spark, MinIO, and Databricks for large-scale training and analytics. Delivered Person Re-ID and vision-language image retrieval systems for security.
Education
Certifications and awards· 8
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