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I am an AI/ML engineer with 8+ years of experience building and deploying machine learning systems, from data preprocessing to production models serving. My expertise spans the full ML life cycle - data engineering, model development, training pipelines, and scalable deployment. I am proficient in Python (scikit-learn, TensorFlow, PyTorch) with strong software engineering foundations in TypeScript, JavaScript, and modern web frameworks. I have a proven track record of integrating AI/ML capabilities into production applications, including LLM-powered features, recommendation systems, and predictive analytics. I bridge the gap between research and production, delivering business value through practical ML solutions.…I am an AI/ML engineer with 8+ years of experience building and deploying machine learning systems, from data preprocessing to production models serving. My expertise spans the full ML life cycle - data engineering, model development, training pipelines, and scalable deployment. I am proficient in Python (scikit-learn, TensorFlow, PyTorch) with strong software engineering foundations in TypeScript, JavaScript, and modern web frameworks. I have a proven track record of integrating AI/ML capabilities into production applications, including LLM-powered features, recommendation systems, and predictive analytics. I bridge the gap between research and production, delivering business value through practical ML solutions.

Tun Yin Tan

AI Engineer, Data Scientist, Data Analyst, +1

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I am an AI/ML engineer with 8+ years of experience building and deploying machine learning systems, from data preprocessing to production models serving. My expertise spans the full ML life cycle - data engineering, model development, training pipelines, and scalable deployment. I am proficient in Python (scikit-learn, TensorFlow, PyTorch) with strong software engineering foundations in TypeScript, JavaScript, and modern web frameworks. I have a proven track record of integrating AI/ML capabilities into production applications, including LLM-powered features, recommendation systems, and predictive analytics. I bridge the gap between research and production, delivering business value through practical ML solutions.…I am an AI/ML engineer with 8+ years of experience building and deploying machine learning systems, from data preprocessing to production models serving. My expertise spans the full ML life cycle - data engineering, model development, training pipelines, and scalable deployment. I am proficient in Python (scikit-learn, TensorFlow, PyTorch) with strong software engineering foundations in TypeScript, JavaScript, and modern web frameworks. I have a proven track record of integrating AI/ML capabilities into production applications, including LLM-powered features, recommendation systems, and predictive analytics. I bridge the gap between research and production, delivering business value through practical ML solutions.

Available to hire

I am an AI/ML engineer with 8+ years of experience building and deploying machine learning systems, from data preprocessing to production models serving. My expertise spans the full ML life cycle - data engineering, model development, training pipelines, and scalable deployment.

I am proficient in Python (scikit-learn, TensorFlow, PyTorch) with strong software engineering foundations in TypeScript, JavaScript, and modern web frameworks. I have a proven track record of integrating AI/ML capabilities into production applications, including LLM-powered features, recommendation systems, and predictive analytics. I bridge the gap between research and production, delivering business value through practical ML solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Senior AI/ ML Engineer at Nexthink

January 1, 2022 - December 1, 2025

Designed and deployed ML models for anomaly detection and predictive analytics, processing 10M+ data points daily. Led end-to-end ML pipelines using Python, MLflow, and Airflow for automated training, evaluation, and deployment. Implemented OpenAI GPT and Anthropic Claude APIs to create intelligent search and automated insights; built a recommendation system using collaborative filtering and deep learning, improving user engagement by 45%. Created real-time inference APIs with FastAPI, serving 100K+ predictions per day with sub-50ms latency. Built vector-database solutions with Pinecone and pgvector for semantic search across enterprise documentation. Developed data processing pipelines with Pandas, NumPy, and PySpark; fine-tuned BERT/GPT transformers for domain-specific tasks. Implemented MLOps with versioning, A/B testing, and drift monitoring. Built ML dashboards in React/TypeScript; deployed models on AWS SageMaker and Lambda with auto-scaling. Mentored junior ML engineers; reduced

ML Engineer at Clear Summit

September 1, 2019 - December 1, 2021

Developed custom ML solutions for client projects including demand forecasting, churn prediction, and image classification. Built classification and regression models using scikit-learn, XGBoost, and LightGBM for structured data. Created computer vision applications with TensorFlow and OpenCV for object detection and image segmentation. Implemented NLP pipelines for sentiment analysis and named entity recognition using spaCy and NLTK. Wrote data-processing workflows with Pandas and NumPy; developed REST APIs with Django and Flask to serve processed data to mobile and web applications. Built data collection systems scraping web data with BeautifulSoup and Selenium; developed dashboards with Plotly, Matplotlib, and React frontends. Implemented model evaluation frameworks with cross-validation and hyperparameter tuning; built end-to-end data preprocessing pipelines for cleaning, normalization, and handling missing data. Built proof-of-concept chatbots and conversational AI using pretraine

Data Engineer / Python Developer at Willow Tree

July 1, 2017 - August 1, 2019

Built ETL pipelines using Python, Pandas, and SQL to process and transform data for analytics and reporting. Developed data analysis scripts with NumPy, Pandas, and Matplotlib for exploratory data analysis and insights. Created automated data validation and quality checks to ensure data integrity across pipelines. Implemented RESTful APIs with Django and Flask to serve processed data to internal dashboards and client applications. Built data collection systems scraping web data using BeautifulSoup and Selenium for market research projects. Designed and implemented statistical analysis tools and visualization dashboards with Plotly, Matplotlib, and React frontends. Developed automated model evaluation frameworks with cross-validation and hyperparameter tuning; collaborated with stakeholders to translate analytics into actionable business insights.