Building the pipelines and models that turn raw data into decisions.
Who I Am
I'm a Data Engineer and Machine Learning specialist with an M.Sc in Data Science from the University of Surrey. I build end-to-end data systems — from ingestion and transformation to model training and deployment.
My work spans Python, SQL, and modern data platforms including AWS, Databricks, and Apache Airflow. I design ETL pipelines that are reliable, auditable, and built to scale.
I'm particularly interested in how data infrastructure, ML models, and AI agents intersect — systems that don't just analyse data, but act on it.
Data Engineering
ETL pipelines, orchestration, and cloud data platforms
Machine Learning & AI
Model training, NLP, deep learning, and LLM applications
AI Engineering
RAG systems, AI agents, and on-device AI with vector databases
M.Sc Data Science · University of Surrey · 2025
Guildford, United Kingdom
My Journey
Feb 2024 – Feb 2025
M.Sc Data Science (Merit, 63.42%)
University of Surrey, UK
- ›Built a Cybersecurity NER model using DeBERTa, achieving 91.88% F1-score, deployed as a FastAPI + SQLite API endpoint for CTI analysts
- ›Optimized CNNs with metaheuristic algorithms (GA, HS, FA) for image classification on CIFAR-10, improving accuracy and convergence
- ›Developed containerized web application with Flask and Docker; created predictive models for sentiment analysis and housing price prediction
- ›Certified by the EDI/University of Surrey Future Leaders Programme (Oct–Nov 2024)
Oct 2022 – Jan 2024
Data Researcher / Engineer (Freelance)
Fleet Street Research, UK
- ›Built Python data extraction pipelines — 50% gain in data acquisition efficiency
- ›Integrated MySQL + SQLite pipelines via SQLAlchemy with zero data loss
Aug 2019 – May 2023
B.E Computer Science & Engineering (Distinction, 9.5 CGPA)
SNS College of Technology, India
- ›Published research paper on Plant Disease Detection using ML
- ›Founded and ran "REGEX - CSE" club for peer learning and networking
- ›Won multiple Ideathon events and the "Centre for Creativity" Award
Feb 2022 – Apr 2022
Data Scientist Intern
Yoshops.com, India
- ›90% accurate deep learning model (VGG16) for osteoarthritis detection
- ›Automated web scraping — 40% improvement in real-time pricing accuracy
Mar 2021 – Jun 2021
Data Scientist Intern
Forsk Coding School, India
- ›NLP sentiment analysis on customer reviews using transformer-based models
- ›Deployed scalable ML models on AWS via Flask API
Certifications
Featured Projects
A collection of my work across machine learning, data engineering, and AI applications
Prompt Enhancer
Chrome extension using Google's Gemini Nano AI for on-device prompt enhancement. Enhances ChatGPT prompts instantly with 100% local processing, zero API costs, and complete privacy.
Other Projects
Technical Skills
A comprehensive toolkit spanning data science, machine learning, and software development
Programming Languages
Machine Learning & AI
Data Engineering
Cloud & DevOps
Data Visualization
Currently Expanding
Cloud Certifications
AWS & GCP certifications
MLOps & Deployment
CI/CD for ML models, experiment tracking
LLM & Agent Systems
Building AI agents, RAG pipelines, tool-augmented LLMs
Real-time Systems
Streaming data & live dashboards
Blog & Insights
Writing about AI, data, and how these tools actually work behind the scenes—now live on Medium.
Latest on Medium
Prompt Enhancer Chrome Extension with Gemini Nano
Demystifying AI Tools: How They Work Under the Hood
Over the last few weeks, I've been building a Chrome extension called Prompt Enhancer that turns rough ideas into clear, structured prompts for ChatGPT in a single click. It runs fully on-device using Chrome's built-in Gemini Nano via the Prompt API, so nothing ever leaves your browser.
Follow @pranavakailash on Medium for new posts.
Let's Connect
I'm open to roles in data engineering, machine learning, and AI — based in the UK and available now. If you're building something that needs strong data infrastructure or applied ML, I'd like to talk.