đ About Me
I am a data scientist and researcher with a strong foundation in machine learning, optimization, and applied AI, backed by a PhD and international experience across academia and industry. I am passionate about applying data science to advance interdisciplinary research and enable evidence-based decision-making. In particular, I enjoy bridging the gap between complex technical challenges and practical solutions, working collaboratively with diverse teams to deliver impactful, scalable outcomes.
- Versatile Skill Set: 4+ years in Applied Machine Learning, Generative AI, and Optimization.
- Analytical Excellence: Highly skilled in solving complex problems scientifically and engineeringly.
- Collaborative Strength: Adaptive and effective in crossâfunctional, multicultural team environments to achieve shared goals.
- Team Building Experience: Mentored 5 PhD candidates from technical growth to applying research in realâworld solutions.
- Research Excellence: PhD in Applied Machine Learning and Optimization, with a strong publication record.
- Received Australian Global Talent Permanent Residency.
- Received more than AU$120K worth of cash for academic scholarships and awards.
Detailed information about me is in my CV.
đ Skills
- Leadership: Teamâbuilding, Mentoring
- Programming Languages: Python, SQL, MATLAB
- Data Science & AI: Deep Learning (DNN, CNN), Federated Learning, Reinforcement Learning
- Generative AI: Large Language Models (LLM), RetrievalâAugmented Generation (RAG)
- Classical ML / Predictive Modelling: Linear/Logistic Regression, XGBoost, LightGBM, KNN, SVM
- Optimization: Methods for constrained mixed-integer, nonconvex, and stochastic problems
- Optimization Tools: CVXPY, MOSEK, Gurobi, CPLEX
- Visualization: matplotlib, seaborn, plotly, Streamlit
- Cloud Tech: AWS (SageMaker, S3, EC2, RDS), Hugging Face Spaces
- ML/MLOps Tools: Git, ChromaDB, Snowflake, DVC, MLflow, NannyML
- Soft Skills: Time Management, Teamwork, Conflict Resolution, Problem Solving, Documentation, Engaging Presentation
đ Academic Achievements
- Strong Publication Record: >800 citations, hâindex of 15 (List of papers), 20 journal articles in top international journals, 20 conference papers (2 invited), 1 Elsevier book chapter, and 2 patents with Ericsson (a global Telecom leader).
- International Postgraduate Research Scholarship: Received full 3.5âyear PhD scholarship from the University of Newcastle in 2017, AU$120K worth of cash.
- Best Poster Award: Received the prestigious Best Poster Award from the Australian Mathematical Sciences Institute (AMSI) Optimise Conference for excellent research ideas and solutions, AU$500 worth of cash.
⥠Activities
- In my spare time, I work on side projects and write blogs about data science, machine learning, and generative AI. My content ranges from technical deep dives to life skills.
- I enjoy exploring emerging AI technologies and applying them to solve real-world problems.
- Iâm passionate about lifelong learning, constantly improving my skills through courses, books, and hands-on experimentation.
- I also mentor and support early-career professionals and students who are interested in research, optimization, machine learning, data, and AI.
If you have any questions or inquiries, please contact me via email.