Software Engineer Intern

Geotab, Waterloo
Jan 2025 – Apr 2025
  • Optimized Terraform code to reduce pod count for 50 microservices in development, cutting CPU usage by 30%.
  • Resolved a data race in a core service, preventing cascading failures, and implemented SQL and Redis health checks for 10 services to enable automatic pod recycling.
  • Integrated Sentry for error reporting, enhancing debugging for 100+ engineers, redacted PII from GCP and Sentry logs for compliance, and created Grafana dashboards for real-time error monitoring.
  • Migrated and tested services from .NET 8.0 to .NET 9.0, developed functional and unit tests to improve test coverage, and built data mappers for JSON RPC and gRPC signals from Tesla, Ford, and other manufacturers.

Software Engineer Intern

Tallgeese AI, San Jose
Jun 2024 – Sep 2024
  • Implemented accuracy evaluation pipeline to assess agent responses, integrating it with GitHub CI/CD actions.
  • Developed an LRU semantic cache using Redis to store agent responses, reducing queries sent to LLM by 30%.
  • Enhanced language support for Chinese by resolving function-calling errors, leading to 77% increase in accuracy.
  • Resolved critical issues in document ingestion and chunking, resulting in a 96% improvement in accuracy and a 70% increase in user adoption, which led to 20+ new enterprise clients including Intel.

Software Engineering Fellow

Headstarter, New York
Jul 2024 – Aug 2024
  • Built and deployed 5 projects in AI in a span of 5 weeks using React.js, Next.js, Tailwind, Firebase, Supabase, Clerk, Langchain, Pinecone, Docker and AWS following agile methodologies with weekly sprints and incorperated CI/CD practices for iterative deployment.
  • Scaled web-apps to 200+ users, iterated on user feedback to make continuous optimizations.
  • Participated in weekly sessions with engineers from big tech and venture-backed startups.
  • Successfully led three projects that won three separate hackathons against 500+ teams.

Software Engineer Intern

Qatar Airways, Qatar
Apr 2024 – Jun 2024
  • Developed a RAG system for storing 100+ documents, each with 200+ pages containing airplane technical data.
  • Indexed the embeddings and stored them in a cloud vector database, to decrease the time to first token by 80%.
  • Implemented data cleaning pipeline, to clean tabular data, thereby increasing the accuracy of responses by 100%.
  • Managed an intern and assisted them in prompt engineering, RAG API development and frontend development.

Software Engineer Intern

Predictify Pro, Toronto
Jan 2024 – Apr 2024
  • Built the website and backend for Predictify Pro, a startup, integrating a RAG chatbot and Stripe API.
  • Developed an interior design feature that updates room images based on user input by developing Cycle-GAN.

Full Stack Engineer Intern

Toronto Transit Commission, Ontario
Sep 2023 – Dec 2023
  • Developed an encrypted password management application to store and manage 1000+ logins for 40+ databases.
  • Reduced the application render time by 80%, by migrating the codebase from Python Tkinter to React.js.
  • Containerized the application, and used caching to reduce the build time from 5 minutes to 5 seconds.
  • Implemented SQL triggers and transactions to reduce data processing time, by decreasing unnecessary query runs.