About me

I'm an AI Engineer and Data Scientist based in Newcastle upon Tyne, United Kingdom. With a PhD in Data Science and experience spanning energy systems research, full-stack development, and applied machine learning, I build solutions that bridge the gap between cutting-edge AI and real-world impact.

From autonomous ETL pipelines powered by LLMs to Transformer-based forecasting models, I enjoy tackling complex problems with practical, data-driven approaches. I have published research in energy optimization, time-series forecasting, and game-theoretic decision-making.

What i'm doing

  • AI engineering icon

    AI Engineering

    Building intelligent systems using LLMs, LangChain, RAG, and modern AI frameworks.

  • machine learning icon

    Machine Learning

    Developing and deploying models for forecasting, classification, and optimization.

  • data science icon

    Data Science

    End-to-end data pipelines, analysis, and visualization to drive decision-making.

  • energy research icon

    Energy Systems Research

    Applying optimization and AI to smart energy management and low-carbon technologies.

Resume

Download CV

Education

  1. Ph.D. in Data Science

    Oct 2020 — Jul 2024

    University of Essex, School of Mathematics, Statistics and Actuarial Science. Developed a smart hierarchical transactive energy system using bilevel optimization and metaheuristics. Built a Transformer-based long-term time-series forecasting model for multi-energy load prediction using PyTorch.

  2. M.Sc. in Banking and Finance

    Sep 2018 — Sep 2019

    University of Sussex, Sussex Business School. Grade: Distinction (79%).

  3. M.Sc. in Project Management

    Sep 2017 — Sep 2018

    University of Sussex, Sussex Business School. Grade: Merit (62%).

  4. B.Eng. in Chemical Engineering and Technology

    Sep 2012 — Jun 2016

    Hebei University of Engineering.

Experience

  1. Data Scientist

    Oct 2025 — Mar 2026 · heatly, Leeds

    Built a complete autonomous ETL pipeline using LLMWhisperer, OpenAI API, and Python (Pandas). Developed a full-stack Node.js web application to estimate and compare heat pump vs gas boiler operational costs via the Glow API and Open-Meteo API.

  2. Postdoctoral Research Associate in Data Science

    Aug 2024 — Oct 2025 · Newcastle University

    Quantified and evaluated the value of low-carbon technologies (solar panels, electrical/thermal storage, heat pumps) within the smart home energy management system (SHEMS) framework. Reviewed roof-rental mechanisms in the UK and internationally.

  3. Data & Analytics Intern

    Apr 2024 — Jun 2024 · Essex County Council

    Analysed dependence between service demand and complaints using Granger Causality Test and Distance Correlation in R. Visualised district measures across Essex using Power BI.

  4. Research Officer

    Apr 2023 — Jul 2023 · University of Essex

    Developed dynamic programming and Dijkstra-based algorithms using Python to solve the shortest path problem with multiple destinations.

  5. Assistant Lecturer

    Oct 2021 — Apr 2023 · University of Essex

    Taught machine learning techniques (regression, classification, clustering) in Statistical Methods, Modelling Experimental Data, and Applied Statistics. Taught coding in R and RStudio.

My skills

AI & ML
  • Python
  • PyTorch
  • TensorFlow
  • LLMs
  • LangChain
  • LangGraph
  • LangSmith
  • RAG
  • NLP
  • Computer Vision
  • Transformers
  • Deep Learning
  • Machine Learning
Data
  • SQL
  • R
  • Pandas
  • Time Series Forecasting
  • Power BI
  • Operational Research
  • Metaheuristic Algorithms
Web & Software
  • JavaScript/TypeScript
  • FastAPI
  • Full-Stack Web Development
  • Software Engineering
Tools
  • MATLAB
  • Pyomo
  • LaTeX

Portfolio

Contact

Contact Form