Profile

I'm Turar — entrepreneur and engineer

I love building products. I architect full-stack AI solutions that deliver measurable impact.

My products

Education

MSc in Finance (FinTech and Financial Analytics)

Hong Kong Baptist University Sep 2025 – May 2026

Relevant Courses: FinTech, Digital Transformation and Web 3.0, Machine Learning for Financial Market Modelling and Analysis, Corporate Finance, Investment Management and Alternative Finance, Financial Computing with Python, Blockchain Engineering and Virtual Assets, Financial Derivatives and Risk Management, Cybersecurity and Privacy for Financial Technology

BSc (Hons) in Data Science First Class Honours | CGPA: 3.66/4.00

Lingnan University Sep 2021 – May 2025

Relevant Courses: Machine Learning, Data Mining, Introduction to Artificial Intelligence, Databases & Data Warehouses, Data Structures & Object-oriented Programming, Probability and Statistics (I & II), Linear Algebra, Calculus, Stochastic Processes, Applied Econometrics, Financial Accounting, Marketing Analytics, Operations Simulation and Decision Analysis, Quantitative Decision Making

Achievements

Grants & Scholarships

Fellowship & Leadership Programs

Competitions & Hackathons

Experience

AI Engineer — ixFintech, Hong Kong SAR

Feb 2025 – Present

  • Led end-to-end project management and developed an AI-powered newsletter creation platform using LangChain, LLM APIs, MongoDB, and React, deployed using Vercel cutting content production time by 40%.
  • Architected a fully automated index-review workflow for crypto data analysis with AWS ECR and ECS—eliminating manual Excel processes.

Data Scientist Intern — Oxbridge Economics, Hong Kong SAR

Jun 2024 – Aug 2024

  • Optimized a complex Bayesian model using PyMC3, reducing runtime from 8 hours to 40 minutes significantly enhancing computational efficiency.
  • Implemented advanced named entity recognition (NER) models using spaCy in FinFast, the company's platform, improving financial information retrieval accuracy by 30% leading to enhanced user satisfaction and efficiency.

AI Research Analyst Intern — Soqqle, Hong Kong SAR

May 2023 – Jul 2023

  • Enhanced user engagement through the integration of advanced generative AI into Unity-based metaverse educational products, using Python and LangChain for immersive experiences.
  • Increased adoption of AI-driven educational tools by synthesizing and applying insights from the latest ML research on Large Language Models and deep learning techniques, contributing to strategic product improvements and innovations.

Data Analyst — Uncommon Good, Claremont, California, United States

Aug 2022 – Dec 2022

  • Developed a Salesforce-based database for tracking 9 crop properties, enhancing operational efficiency and data accessibility by 25% for the NGO in Los Angeles County.
  • Boosted workflow efficiency and data accuracy by 30% through Excel automation (Pivot Tables, VLOOKUP) and Led an initiative delivering educational and nutritional aid to 15+ low-income families, boosting community engagement.

Software Developer — Atomic Knowledge Proof, Hong Kong SAR

Jun 2022 – Aug 2022

  • Improved system performance and user satisfaction by addressing complex technical challenges with innovative web development solutions and helped with strategic development of the product.
  • Created a high-profile front-end application for the Fintech Olympiad 2022, boosting participation to 121 students from 15 universities, forming 32 teams.

Skills

Programming Languages & Frameworks

Python (Advanced – NumPy, Pandas, Matplotlib, Seaborn, PyMC3, TensorFlow, Keras, Scikit-Learn, PyTorch, spaCy, LangChain, OpenCV, BeautifulSoup), R, SQL (MySQL, Google BigQuery), HTML, CSS

AI & Machine Learning

Logistic Regression, XGBoost, Random Forests, SVM, CNNs, LLM-based NLP, Bayesian Modeling, Time Series Analysis (ARIMA, Dickey-Fuller)

Development Tools

Git, Docker, Jupyter Notebooks, GitHub, GitLab, Google Colab, Streamlit, CI/CD (GitHub Actions)

Data Management & Visualization

Microsoft Excel (Advanced – Pivot Tables, Macros), Tableau, PowerBI, Vega-Lite (JS), DOMO, Salesforce

Cloud Platforms & Big Data

AWS, Google Cloud (BigQuery, Cloud Storage, ML APIs), Microsoft Azure, Hadoop, Spark, SQL Databases, MongoDB