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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.…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.

Rami Reddy Devaram

AI Engineer, Data Scientist, AI Strategy Consultant

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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.…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.

Available to hire

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.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Senior AI Engineer at Undisclosed

September 1, 2025 - Present

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.

Senior AI & Data Scientist at Avrioc Technologies

May 1, 2024 - August 31, 2025

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.

AI & Data Scientist at Protect Electronic Systems L.L.C

June 1, 2022 - April 30, 2024

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.

AI & Data Scientist at CNR - National Research Council

November 1, 2020 - October 31, 2022

Developed real-time emotion and pose recognition for assistive robots using CNNs and ViTs. Deployed AI modules on ROS robots using Dockerized services.

AI & Data Scientist at STMicroelectronics

November 1, 2019 - October 31, 2020

Developed a face recognition system using thermal images for embedded microcontrollers with limited memory. Managed data collection, model design, training, evaluation, and fine-tuning; converted TensorFlow models for embedding devices; collaborated with cross-functional teams and delivered proofs of concept.

Data Analyst at Prinston Data Solutions Pvt. Ltd.

September 1, 2010 - October 31, 2013

Collected and analyzed energy data, built Tableau dashboards, and supported data-driven decision making to improve operational efficiency.

Data Scientist (Intern) at Intesa Sanpaolo S.p.A.

February 1, 2017 - September 30, 2017

Developed algorithmic trading strategies and risk management models; engineered features and built ML models to forecast trends, optimize strategies, and monitor real-time performance.

Data Scientist (Intern) at WIND TELECOM S.p.A.

February 1, 2016 - August 31, 2016

Developed and deployed ML models for churn prediction and fraud detection; conducted end-to-end DS projects with data preprocessing, feature engineering, model selection, and deployment; built dashboards for monitoring.

Data Analyst (Intern) at Enel Group

March 1, 2014 - September 30, 2014

Collected and analyzed energy consumption data; created dashboards and reports; identified opportunities for energy savings and process improvement.