Work Experience

Data Scientist (Research & Development)
Mar 2023 - present, Twyn Holdings Limited, London, United Kingdom
My work focuses on Large Language Models (LLMs), including prompt engineering techniques (such as chain-of-thought) for multi-classification problems, fine-tuning LLMs, and utilizing LangChain and CrewAI for multi-agent applications and Retrieval Augmented Generation (RAG) systems. I developed a tool using PyInstaller for .exe files, asynchronous API calls to LLMs for complex outputs, and mul- tithreading. My work involves extensive data transformation and manipulation, leveraging JSON and Plotly for interactive plots. Additionally, I utilize LangChain, RAG, Chroma DB vector database, and embedding models. Currently, I leverage my software engineering and data science skills to create internal software that delivers advanced NLP, vector databases, LLMs, and embedding models to non-technical scriptwriters and producers.

Business Intelligence/ Data Analyst
Mar 2023 - Nov 2023, Xenos group Hotels, Zante, Greece
Utilized Excel and applied data analytics to optimize resource allocation through analysis of room occupancy, pricing trends, and customer booking patterns.

Environmental Engineering Teaching Associate
Sep 2021 - Oct 2022, School of Civil and Environmental Engineering, The University of Edinburgh
Lectured and was responsible for the academic examination in Environmental Engineering and Water Engineering courses.

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Caption: Flashback to some of my most enjoyed time, Teaching engineering @ UoE

Also participated in Engineering Mathematics and Engineering Design course delivery
Remained engaged in Python and scientific programming throughout.

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Caption: Flashback to back when I felt like the god of editing presentations.

Education

PhD - The University of Edinburgh
Jul 2017 - Jul 2021, School of Chemistry (Prof. Neil McKeown)
Thesis title: Design and synthesis of porous adsorbents for water purification.
Achievements: Received two nominations for 'tutor of the year' award. Applied regression methods and data modelling using MATLAB® and Origin® software.

PhD Image
Caption: Captured in action performing "cutting-edge research".

BSc - The University of Edinburgh
Sep 2013 - Jul 2017, School of Chemistry (Prof. Michael Shaver)
First-class honors (1st). Achieved the highest average (GPA) in my year and received an award for "Outstanding Academic Performance".

Things I learnt during my STEM education

  • General statistical error analysis and the application of error functions for quantifying and selecting the best models to fit data using linear and non-linear regression techniques.
  • Synthesis of soft matter materials, colloids and various chemical entities for diverse applications.
  • Advanced proficiency in analytical techniques for structure elucidation and compound verification, including NMR spectroscopy and Solid State NMR.
  • Comprehensive application of chromatography and mass spectrometry techniques, including GC-MS and LC-MS, for complex mixture analysis.
  • Expertise in IR spectroscopy for functional group identification and compound analysis.
  • Use of UV-vis spectrometry and fluorescence spectroscopy for the quantitative analysis of compounds and tracing of free radicals in various systems.
  • Skilled in ICP-OES for the precise measurement of trace elements in diverse matrices.
  • Utilization of air-sensitive techniques, including proficient operation of Schlenk lines and glove boxes, for controlled environment experiments.
  • Detailed material characterization and analysis, ensuring compound integrity and functionality within specific applications.