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ngockhanh5110/README.md

Hi there, I'm Leo Pham πŸ‘‹

LinkedIn Gmail

Senior Machine Learning Engineer @ Sapia.ai based in Melbourne, VIC. I specialize in building and deploying scalable, high-performance AI systems, with a focus on Large Language Models (LLMs), MLOps, and cloud-native infrastructure (AWS & GCP).

πŸŽ“ M.Sc. Information Technology from The University of New South Wales (UNSW).

πŸ’‘ Passionate about leveraging cutting-edge AI for real-world impact, optimizing model inference, and architecting robust data pipelines.


πŸš€ Key Skills & Technologies

ML & AI:

  • LLMs & Generative AI
  • PyTorch, TensorFlow, Scikit-learn
  • Model Optimization: TensorRT, NVIDIA Triton Inference Server, DistilBERT
  • Deep Learning, Predictive Text Analysis

MLOps & Infrastructure:

  • CI/CD: Terraform, GitHub Actions, Buildkite
  • Containerization & Orchestration: Docker, Kubernetes
  • Cloud Platforms: AWS (Sagemaker, Glue, S3, EC2, etc.), GCP (BigQuery, GKE, etc.)
  • Monitoring & Logging

Data Engineering & Big Data:

  • Data Pipelines: Airflow, Kafka, NiFi, Spark, AWS Glue
  • Databases: PostgreSQL, MongoDB, Redshift, Elasticsearch, BigQuery, Iceberg Data Lake

Languages & Tools:

  • Python, Scala, R, TypeScript, C
  • FastAPI, Flask, Django, React Remix
  • Git, Jupyter, DBT

✨ Featured Projects & Achievements

  • Real-Time AI Content Detection System: Built a system using TensorRT-LLM & NVIDIA Triton, achieving <200ms inference. Presented at NVIDIA GTC 2024 (P61688).
  • Phai Chatbot Career Coach POC: Developed an LLM-powered chatbot with React Remix front-end and FastAPI back-end for personalized career guidance.
  • Generative AI for Interviews (InterviewGPT & SAIGE): Implemented and enhanced generative models on AWS Sagemaker, improving evaluation accuracy and fairness in AI-driven interviews.
  • Scalable Data Infrastructure: Transformed data processing by scaling a feature database ( billions records) using AWS Glue, Iceberg, and S3, streamlining model training.
  • Infrastructure-as-Code for ML: Spearheaded Terraform adoption for ML model deployment, enhancing reliability and scalability.
  • (Past) Content Moderation & Spam Detection @ Viettel: Deployed deep learning models for content moderation and automated SMS spam detection.

🎀 Publications & Talks

  • NVIDIA GTC 2024: "Real-Time Model-Agnostic Generated Answer Detection in Text-Based Chat Interview [P61688]"

πŸ“« How to reach me:

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