Ashank Dsouza

Bachelor of Science in Computer Science

Master of Science in Software Engineering

ABC Academy of Music

• Built a low latency frontend using server-side rendering (SSR) of Java Spring Boot REST APIs backed by PostgreSQL.
• Automated a CI/CD pipeline on AWS EC2 to have continuous releases and 99% availability of the site.
• Increased the team’s feature delivery velocity by 75% by introducing the team to an agentic workflow that uses detailed JIRA stories as context for Copilot while leading agile practices.

Tecnotree

• Awarded the “Spotlight Top Performer” cash award for leading high-quality feature delivery in React and Node.js.
• Led development of React UI stepper form with minimal bugs within schedule earning accolades.

PangeaTech

• Founding engineer who built a greenfield ML product from 0 to 1, owning performance, infrastructure, and deployment.
• Distributed logging system: Replaced manual server login and exception trace inspection with a searchable, real-time Kibana dashboard, significantly reducing debugging time for pipeline errors (from 4 hours to real time).
• Scaling data processing: Reduced data processing time by 80% (4 hours to 45 minutes) by redesigning the Python ML backend to distribute workloads across Kubernetes nodes saving customer time.
• Reduced Azure cloud costs 30% with better Azure Virtual Machine utilization.
• Introduced MLflow for ML model version management, logging, testing, and experimentation across 5 algorithms and 100+ experiment runs, enabling reproducible model comparison and faster iteration.
• Used Highcharts and Chart.js in the React frontend app to create 25+ highly customized charts to enhance data visualization for clients powered by data from MongoDB, served by an Express.js API service (Node.js).

PangeaTech

• Engineered a 97% reduction in MySQL database refresh duration (from 8 hours to 15 minutes) by converting synchronous Python to asynchronous Python, saving significant client time.
• Data collection using async API calls throttling the rate to comply with API rate limits. Controlled data fetching and flushing to prevent OOM exception; batching up write requests using SQL bulk insert.
• Maintained MySQL servers at 99% availability and debugged and maintained SQL queries and stored procedures.
• Reduced deployment time by 85% (from 27 to 4 minutes) and deployment failures by containerizing the application with Docker and automating the pipeline via GitHub Actions saving dev time.

Tenerity (a J.P. Morgan and Chase company)

• Reduced network requests by 35% by migrating a microservice from REST to GraphQL, eliminating over-fetching.
• Increased click-through rate by 15% by switching to a new cross-sell itineraries modal developed with Angular.
• Increased test coverage to 90% and ensured compliance with accessibility standards (WCAG) and internationalization.

Simulation-based system design learning platform (Leetcode for system design)

• Built a simulation engine with TypeScript using prompt-driven development with Claude Code and Copilot.
• Built a custom renderer engine in React for animation using custom React Hooks, Context API, SVG and CSS.
• Managed infrastructure and deployments on Azure VM, including CI/CD pipelines, secure hosting (TLS), SEO for visibility, and site reliability.

Model Context Protocol server to help AI agents better tailor travel recommendations

• Provides JSON-RPC based MCP endpoints to help AI agents provide better travel recommendations across offers.
• Typescript written REST API service which serves tailored recommendations considering location, loyalty points, pagination, client offerings, previous bookings and previous offer clicks.
• Fault-tolerant service with fallbacks on service non-availability, rate limiting to handle excess requests and which points Agentic client to alternate resources on failure.

RAG and LLM based music discovery system

• Built a GenAI-powered music recommender using PostgreSQL + pgvector for embedding-based semantic retrieval, with LLM-driven song summarization and recommendations.

Game written in Python with custom graphics and audio effects

• Received the “Best Paper Award”, a university level award for my paper “Indian Sub-Continent Risk Game”.