RESUME

• Sole engineer on an internal AI knowledge assistant serving 30+ customer delivery managers and 1,000+ weekly queries; shipped full-stack in React, Flask and AWS GovCloud with source-tracked citations, now live in customer delivery workflows
• Reduced information lookup from roughly 15 minutes to under 30 seconds across 1,000+ enterprise documents via hybrid keyword routing and structured retrieval grouping
• Won the company-wide hackathon as an intern, beating full-time engineer teams, with an AI meeting assistant built on internal connectors
• Automated an executive reporting pipeline across ServiceNow, SharePoint and internal systems, saving about 10 hours a month

• Built a React and TypeScript telemetry dashboard for missile and flight system testing, delivering real-time mission data across 50+ telemetry channels for GNC, embedded and test engineering teams
• Engineered a custom Node module to process distributed telemetry streams, cutting display latency to near-instant during live integration and validation testing
• Designed monitoring workflows used by test engineers to validate flight software behaviour across development cycles
• Contributed C development to operational flight software in a mission systems environment

• Built a production full-stack platform supporting 100+ active users for campaign management and match reporting
• Designed a REST API in Next.js and PostgreSQL with authentication, rate limiting and analytics infrastructure
• Improved database query performance by roughly 60% through indexing and schema optimisation
• Implemented React dashboards for rankings, statistics and administrative controls, deployed on Vercel

• Invited to speak at MAGFEST, an industry event with 30,000+ attendees
• Programmed games in Unity (C#) and Godot (GDScript), focusing on UI, player movement and QA
• Built Python automation tools on the Google Drive API to streamline submissions and asset management, reducing admin workload by about 80%

• Dean’s Award recipient
• Deloitte StartUp! Competition winner — first place out of 40 selected candidates
• Selected for the steering committee responsible for planning and executing a convention serving 1,000+ attendees

• Built a pipeline that ingests restaurant mentions from Instagram, Discord, WhatsApp and SMS using LLM parsing, then matches them against a user preference profile built from order history and spending patterns
• Integrated MCP connectors and a calendar API to pull external restaurant data and factor in scheduling, returning menu suggestions and cost estimates per visit
• Designed a sponsored-placement layer for restaurants to bid on recommendation visibility as a monetisation path

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