AGAM SINGH TALWAR

Full Stack Software Developer Intern at Tranquility Inc.

Built and launched Tranquility's first business incubator MVP in 6 weeks, owning the frontend with Next.js, React, and TypeScript to deliver a smooth and responsive user experience. Engineered a real-time AI chat system using SSE + FastAPI, reducing latency by 40% and increasing user session time by 30% through dynamic streaming and context handling. Developed a rich-text editing suite for customizing 4 AI-generated business documents, improving completion rates by 2.3x and enhancing overall user engagement.

AI Chatbot – macOS AI Performance Research Project at Personal Project

Enhanced a macOS AI chat assistant with sequential, streaming, and parallel execution modes, allowing users to select AI models and compare performance metrics (response time, first-token latency, CPU/memory usage). Built with MVC, SwiftUI, and Combine, integrating Swift Concurrency for real-time UI updates and Swift Charts for interactive analytics, demonstrating practical parallel algorithm applications.

Jr. Project Manager Intern at Ontario Public Services

Managed a full-stack government data migration project, applying analytical frameworks and ETL techniques to transform and consolidate 10 years of records for improved reporting and decision-making. Developed and deployed a cross-platform automation suite using Python, Bash, and the SharePoint API to programmatically validate and consolidate financial data, reducing a multi-day manual process to under 5 minutes. Executed user research (interviewing 10+ end-users) to translate complex business needs into a detailed technical specification, which included proposed software architecture and feature designs.

Atlassian Analyst Intern at Valiantys

Provided higher-education consulting to Trent University, transforming their workflow by engineering a custom ticketing system and migrating a 5,000+ document repository via a Python/SQL ETL pipeline. Supported a large-scale system migration for Rogers, orchestrating the transfer of over 20,000 Jira projects and numerous Confluence spaces to a unified Atlassian stack on AWS/Azure. Co-developed a commercial SaaS prototype in partnership with the CTO, leveraging Python and JavaScript to integrate the Atlassian Tempo API and Microsoft Graph API for automated time-tracking synchronization.

AI Closet at Personal Project

Engineered a web app that creates a virtual closet and trains 2 custom ML models: one to classify user-uploaded clothing images, and another to generate weather-aware outfit recommendations using geolocated forecasts. Deployed inference on Azure and optimized the request pipeline to serve real-time outfit curation; supported 5+ clothing categories and multi-item outfit generation.