About me

Senior AI Engineer with 6+ years of experience in developing production-grade AI systems, specializing in Large Language Models, Natural Language Processing, and Generative AI. Proven expertise in building autonomous AI agents, RAG architectures, and multi-modal AI systems. Strong background in optimizing LLM inference and developing scalable AI solutions in sensitive domains like healthcare and financial services.

What do I offer?

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    Web Development

    Creating the eye-catching and practical, interesting websites for various industries.

    html-5 css-3 tailwind-css javascript react-js nextjs node-js python sql external-mongodb-a-cross-platform-document-oriented-database-program-logo-bold-tal-revivo
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    Mobile Development

    Designing and developing mobile applications for various platforms and operating systems.

    react-native--v1 android-os mac-os flutter node-js
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    AI implementing

    Building cutting-edge platform that utilizes AI such as chatbots and recommendation systems.

    message-bot chatgpt external-computer-vision-data-science-solid-solidglyph-m-oki-orlando external-NLP-artificial-intelligence-solidglyph-m-oki-orlando machine-learning external-image-processing-smartphone-application-itim2101-fill-itim2101 python
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    Web Scraping

    Extracts data from websites, automates data collection, and provides valuable insights.

    selenium-test-automation puppet-2 python node-js
Client From USA
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Client From USA

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Resume

Cherry Blossom
<AI/>
{ ML }
[ LLM ]

Experience

  1. AI Engineer

    October 2022 — Present
    Aglowid IT Solutions, Marlton, NJ

    · Architected enterprise-grade LLM orchestration platform using AutoGen and CrewAI with hierarchical planning, reducing operational costs by 25%
    · Designed Multi-Agent AI system using LangGraph and Azure OpenAI Service achieving 70% reduction in manual interventions
    · Constructed production RAG pipeline using LangChain and LlamaIndex achieving 85% retrieval accuracy across 100K+ daily queries
    · Optimized LLM performance reducing p95 latency from 800ms to 200ms with Docker and Kubernetes deployment

  2. Natural Language Processing Engineer

    June 2020 — September 2022
    Annalise.ai, Haymarket, Australia

    · Engineered production-grade NLP pipeline using BERT and RoBERTa for clinical note summarization, achieving 85% accuracy
    · Built scalable RAG system using Elasticsearch and FAISS for medical knowledge retrieval, processing 100K+ clinical queries daily
    · Designed real-time inference optimization system using TensorRT and ONNX Runtime, reducing model latency from 200ms to 50ms
    · Led development of privacy-preserving federated learning system for multi-hospital collaboration

  3. Machine Learning Engineer

    June 2019 — May 2020
    BTO (BetterTradeOff), Singapore

    · Developed real-time fraud detection system using TensorFlow and scikit-learn achieving 92% accuracy processing 1M+ daily transactions
    · Engineered NLP pipeline using BERT and spaCy for financial document analysis with 85% improved information extraction accuracy
    · Built distributed ML infrastructure using Kubernetes and Docker reducing training time by 40%
    · Implemented real-time sentiment analysis system for market monitoring achieving 88% accuracy in predicting market trends

Education

  1. Singapore Institute of Technology

    2017 — 2019

    Master of Computer Science (MCS)

  2. Singapore Institute of Technology

    2013 — 2017

    Bachelor of Computer Science (BCompSC)