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