About

Lore

Part engineer, part data alchemist, I spend my days interrogating messy datasets until they confess their secrets, and teaching machines new tricks. By day I'm a Research & Development Engineer at Kinewell, questing in offshore wind energy, and by night I build full-stack AI software for the fun of it.

Before that I was a Data Analyst Intern at Newcastle University, rebuilding Power BI dashboards and analysing occupancy data with SQL and Python. I also did market research for the Higher Education sector at Newcastle University Business School. At Kare AI I built RAG and web-scraping pipelines that helped the product grow across 5 countries and 3,000+ zip codes, and at DRDO / INMAS I worked on VR-driven training scenarios using eye tracking.

I hold an MSc in Data Science and AI from Newcastle University, and I've published two papers and filed a patent along the way.

Technical skills

Skill Tree

Languages

  • Python
  • SQL
  • R
  • JavaScript

ML / NLP

  • Machine Learning
  • Deep Learning
  • XGBoost
  • NLP
  • Sentiment Analysis
  • Computer Vision

Generative AI

  • RAG Pipelines
  • LangChain
  • Prompt Engineering
  • LLM Fine-Tuning
  • OpenAI
  • Groq

Full-Stack

  • FastAPI
  • Flask
  • Node.js
  • REST APIs
  • React
  • Next.js

Data & Cloud

  • Power BI
  • SQL Database Administration
  • Azure DevOps Services
  • Google Cloud
  • Docker
  • Git

Research & Strategy

  • Market Research
  • Startups
  • Web Scraping
  • Stakeholder Presentations

Education

Academies

MSc Data Science & Artificial Intelligence

Newcastle University, UK

Sep 2025 – Sep 202671% (Distinction)

Modules studied

Machine LearningDeep LearningText AnalyticsComputer VisionAdvanced Data AnalyticsResearch MethodsData EthicsData Management

Feats

  • 92% accuracy bird species classifier using ResNet-50 transfer learning
  • House price prediction project in partnership with Atom Bank

BTech Computer Science (Data Science)

ABES Engineering College, AKTU, India

Aug 2021 – Jul 202570.8% (First Distinction)

Modules studied

Data Structures & AlgorithmsDatabase SystemsData MiningStatistical ComputingPattern RecognitionMachine Learning

Feats

  • 2 peer-reviewed research papers published (IEEE & Grenze Journal)
  • Patent filed for the inQuery application management system