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I am an AI Engineer with hands-on experience in optimizing AI and ML pipelines, deploying multi-modal models, and building scalable serverless architectures. I specialize in Python, AWS, and vector-based retrieval systems, including advanced search and retrieval tooling. I have delivered AI-powered systems for real-time risk assessment, video transcoding, and semantic search, and I continuously strive to improve model performance, cost efficiency, and retrieval accuracy. I thrive on designing robust, scalable solutions and collaborating across teams to turn cutting-edge research into practical applications. My focus areas include concurrency tuning, caching strategies, and RAG-driven workflows to accelerate insights while controlling costs and latency.…I am an AI Engineer with hands-on experience in optimizing AI and ML pipelines, deploying multi-modal models, and building scalable serverless architectures. I specialize in Python, AWS, and vector-based retrieval systems, including advanced search and retrieval tooling. I have delivered AI-powered systems for real-time risk assessment, video transcoding, and semantic search, and I continuously strive to improve model performance, cost efficiency, and retrieval accuracy. I thrive on designing robust, scalable solutions and collaborating across teams to turn cutting-edge research into practical applications. My focus areas include concurrency tuning, caching strategies, and RAG-driven workflows to accelerate insights while controlling costs and latency.

N Nixon Tom

AI Engineer, Data Scientist, Full Stack Developer, +2

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I am an AI Engineer with hands-on experience in optimizing AI and ML pipelines, deploying multi-modal models, and building scalable serverless architectures. I specialize in Python, AWS, and vector-based retrieval systems, including advanced search and retrieval tooling. I have delivered AI-powered systems for real-time risk assessment, video transcoding, and semantic search, and I continuously strive to improve model performance, cost efficiency, and retrieval accuracy. I thrive on designing robust, scalable solutions and collaborating across teams to turn cutting-edge research into practical applications. My focus areas include concurrency tuning, caching strategies, and RAG-driven workflows to accelerate insights while controlling costs and latency.…I am an AI Engineer with hands-on experience in optimizing AI and ML pipelines, deploying multi-modal models, and building scalable serverless architectures. I specialize in Python, AWS, and vector-based retrieval systems, including advanced search and retrieval tooling. I have delivered AI-powered systems for real-time risk assessment, video transcoding, and semantic search, and I continuously strive to improve model performance, cost efficiency, and retrieval accuracy. I thrive on designing robust, scalable solutions and collaborating across teams to turn cutting-edge research into practical applications. My focus areas include concurrency tuning, caching strategies, and RAG-driven workflows to accelerate insights while controlling costs and latency.

Available to hire

I am an AI Engineer with hands-on experience in optimizing AI and ML pipelines, deploying multi-modal models, and building scalable serverless architectures. I specialize in Python, AWS, and vector-based retrieval systems, including advanced search and retrieval tooling. I have delivered AI-powered systems for real-time risk assessment, video transcoding, and semantic search, and I continuously strive to improve model performance, cost efficiency, and retrieval accuracy.

I thrive on designing robust, scalable solutions and collaborating across teams to turn cutting-edge research into practical applications. My focus areas include concurrency tuning, caching strategies, and RAG-driven workflows to accelerate insights while controlling costs and latency.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Work Experience

AI Research & Development Project at Queensland University of Technology (QUT)

August 1, 2025 - October 24, 2025

Designed and optimized AI-based cybersecurity threat detection system with real-time anomaly detection using supervised, unsupervised, and reinforcement learning models. Built a real-time data monitoring pipeline integrating Kafka and AWS Lambda to handle concurrent message streams and generate threat risk scores. Implemented semantic retrieval and risk scoring using vector embeddings and similarity search. Enhanced model recall and response latency by tuning inference concurrency and implementing caching strategies.

DOST Process Management System (Industry Project) at Department of Science & Technology, Philippines

August 1, 2025 - October 24, 2025

Built a full-stack workflow management system integrating AI-powered process recommendations. Applied data extraction and text embedding techniques for improved document retrieval accuracy.