CV

Table of contents

Work Experience

Energy and Utilities Platform

• Engineered a centralized data intelligence platform aggregating filings and critical data from multiple US Energy and Utility government websites, saving analysts weeks of time
• Orchestrated the end-to-end data pipeline using Prefect (scheduled scraping/extraction) and hosted on GCP
• Integrated advanced Retrieval-Augmented Generation (RAG) functionality, allowing analysts to perform semantic searches and extract key insights from unstructured documents
• Developed the full-stack solution using Django, containerized via Docker
• Employed both robust traditional software development and new AI engineering practices utilising Claude, GPT and Copilot

Department for Transport - DTRO Service

• Conducted exploratory data analysis on large, complex JSON datasets using Python (Pandas) and identified critical redundancies in the schema which helped optimize data storage efficiency by 90% in certain cases
• Translated complex technical findings into clear, actionable insights and presented them to non-technical clients
• Implemented the agreed changes, refactored core backend functionalities and increased test coverage within a .NET, PostgreSQL, and GCP ecosystem
• Eliminated 5% of technical debt by removing dead code and refactoring old systems
• Streamlined the development life-cycle by configuring Docker development pipelines, authoring comprehensive technical documentation, and reducing newcomer onboarding time by 3 days

Dell

• Drove a critical product improvement initiative for Dell by analyzing diverse datasets to determine optimal laptop keyboard design parameters
• Engineered a robust, unified data schema to successfully integrate three disparate data streams: quantitative Force Gauge metrics, qualitative Human User Feedback, and Audio analysis
• Developed a comprehensive, weighted scoring model that objectively quantified keyboard performance, enabling data-driven recommendations for design iteration
• Delivered actionable findings and prioritized design recommendations to R&D stakeholders, directly supporting the decision to finalize the next-generation keyboard design

Nordson Technical Bid

• Assessed the architecture of a legacy system currently utilizing five separate Windows applications, identifying critical pain points and establishing requirements for a modern, embedded control platform
• Developed technical design drafts and comparative analyses of multiple tech stacks (e.g., embedded OS, frameworks) to ensure the proposed application meets high-performance and client-mandated functional requirements
• Drove the transition planning from fragmented legacy code to a unified embedded application, managing technical risks and defining scope limitations

• Rewrote company website using HTML, SCSS, JavaScript, leading to faster page loads, improved optimizations and a 40% traffic increase and improved user experience.
• Collaborated with a UX designer, Product Manager, and developers in weekly remote sprints to deliver the project on schedule.
• Deployed a Strapi CMS for easy and efficient content management.
• Used Git and GitHub for version control and streamlined deployments to Vercel.
• Authored comprehensive documentation for project specifications and dependencies using Google Docs.

Projects

• Developed a lightweight, cross-platform HTTP file server in Go that serves static files with sane defaults and optional TOML configuration

• Support for port configuration, read timeouts, document root paths, and logging settings, enabling flexible server deployment options

• Built a robust HTTP request/response handling system with proper status code support and content-type detection using MIME types for efficient file serving

• Designed modular architecture using Go modules and clean package structure with separate components for configuration, HTTP handling, and command-line interfaces for maintainability and scalability

Education