About Me
Stressed, blessed, and coffee obsessed ☕
Hey, I'm Nicks — a software engineer who happens to have two ML degrees but would rather build a sick website than train another model. I love turning ideas into real, working products — whether that's a real-time chat app, a risk analysis platform, or a pastry shop website (yes, really). I'm the kind of person who'll learn a whole new tech stack over the weekend just to ship something cool. Currently looking for my next adventure in the UK.
I don't just write code — I design the experience, stress about the spacing, then rewrite the whole thing at 2am because I thought of a better way.
Experience
May 2025 - Sept 2025
AI Researcher
University of Nottingham
- Developed the first systematic AI framework combining diffusion models with evolutionary insights for thermostable RuBisCO variants
- Curated dataset of 36,000+ annotated sequences and 17,000 extremophilic proteins for multi-task learning
- Achieved TM-scores of 0.91-0.98 validated via AlphaFold with preserved catalytic activity at 40-60°C
Dec 2022 - Feb 2023
ML Intern
AWS Academy, Pune, India
- Built AWS Lex chatbot handling 10+ conversation intents with sub-2 second response times
- Developed SageMaker ML models achieving 85%+ accuracy for mental health sentiment analysis
- Integrated AWS Rekognition for image processing, improving workflow efficiency by 25%
Projects
InvestX
Nov 2025 - Jan 2026
Quantitative risk analysis platform processing 61 UK equities with 6 risk models including Monte Carlo simulation, VaR, and EWMA forecasting. Built with FastAPI achieving 7s response time.
Autonomous Driving
Mar 2025 - May 2025
CNN-based steering model trained on 17,647 images achieving 35.8% improvement in prediction accuracy. Deployed real-time inference on Raspberry Pi with 180-200ms latency.
SMOTE on Spark
Mar 2025 - May 2025
Distributed SMOTE pipelines in PySpark handling extreme class imbalance (578:1 ratio). Achieved 91.49% balanced accuracy for fraud detection while reducing execution time by 49%.
Text-to-SQL RAG
Jan 2024 - May 2024
AI assistant translating natural language to SQL queries using LangChain and Mistral-7B. Implemented FAISS vector store achieving 95% accuracy on test set.
Skills
Programming Languages
Frontend & Frameworks
ML/AI & Data Science
Cloud & Big Data
Education
2024 - 2025
Masters in Machine Learning in Science
University of Nottingham, United Kingdom
Merit (2:1) | GPA: 3.4/4.02020 - 2024
Bachelor of Engineering in AI & Machine Learning
Savitribai Phule Pune University, India
First-Class with Distinction | GPA: 3.53/4.0