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Krish Nalam

Krish Nalam

Software Developer

  • Coffee/
  • Code/
  • Concentration

Open to SWE internships & new-grad roles

UofT Webring

About

I’m a Computer Science student at the University of Toronto who likes turning messy, large-scale problems into systems that quietly just work.

Across four internships at RBC and a fintech startup, I’ve shipped ETL pipelines, serverless infrastructure, and ML forecasting models. On weekends I’m a tech geek debugging life’s challenges with a dash of humour and caffeine — usually at a hackathon.

Currently studying B.Sc. Computer Science at University of Toronto (2022 — 2026).

Tech stack: Java, Python, TypeScript, JavaScript, SQL, C, React, Next.js, React Native, Redux, Tailwind CSS, Node.js, Flask, REST, PostgreSQL, MongoDB, Supabase, AWS, Docker, Jenkins, Lambda, CloudFront, CI/CD, TensorFlow, PyTorch, OpenCV, MediaPipe, LangChain.

Experience

  1. RBC — Royal Bank of CanadaMay 2025 — Aug 2025

    Software Developer · RBC — Royal Bank of Canada

    • Built a Java/Maven ETL pipeline modernizing deprecated workflows, automating weekly 30GB+ transit-data processing into flat files for 12+ mainframe JCL jobs, replacing SOAP with REST APIs.
    • Implemented automated PostgreSQL stored procedures to archive historical transactional data, reducing production database size by 15% and improving query performance.
    • Cut $100K in maintenance costs by migrating RBC Express systems to ES6, ensuring full cross-browser support.
    • Java
    • Maven
    • PostgreSQL
    • REST
    • ES6
  2. Next Unicorn — Fintech StartupMar 2025 — Jun 2025

    Full-Stack Developer · Next Unicorn — Fintech Startup

    • Reduced re-render frequency by 60% via Redux for efficient global state management and caching in React Native.
    • Built Dockerized Node.js microservices on AWS Lambda & API Gateway integrating MongoDB & Supabase to support up to 10k req/min; established a Jenkins CI/CD pipeline.
    • Cut storage costs 30% with a media pipeline using S3 lifecycle policies, Lambda triggers for resize/compression, and CloudFront edge caching.
    • React Native
    • Redux
    • Node.js
    • AWS
    • Docker
    • MongoDB
  3. RBC — Royal Bank of CanadaJul 2024 — Aug 2024

    Back-End Developer · RBC — Royal Bank of Canada

    • Benchmarked SARIMA against TensorFlow models in Jupyter using RMSE to optimize login-traffic forecast accuracy.
    • Operationalized the winning model to automate resource allocation, cutting workload 30% and saving $360K annually.
    • Python
    • TensorFlow
    • SARIMA
    • Jupyter
  4. RBC — Royal Bank of CanadaJul 2023 — Aug 2023

    Software Engineer · RBC — Royal Bank of Canada

    • Boosted test coverage to 95% for RBC’s Visa Rewards by automating key tests with Docker, Java & ReadyAPI.
    • Improved API test reliability 25% with a WireMock & Postman mock-API suite, reducing UAT and production issues.
    • Java
    • Docker
    • ReadyAPI
    • WireMock
    • Postman
View Full Résumé

Projects

  1. UofT Webring

    A platform that showcases the portfolios of UofT students in one connected network.

    • Serverless media pipeline using S3 presigned URLs for secure uploads, CloudFront edge caching, and Supabase metadata; automated image resizing with Lambda triggers.
    • Scalable serverless mass-mailing workflow with AWS SES & Lambda — 10K+ emails per user with auto-scaling and 99% delivery success.
    • Next.js
    • Supabase
    • AWS
    • CloudFront

  2. FITRIS

    Winner @ JamHacks

    An interactive fitness game that maps real exercises to Tetris controls via computer vision.

    • React front end with a Flask + NumPy back end for movement detection and precise body-joint tracking.
    • MediaPipe & OpenCV to classify 5+ exercises with 90% detection accuracy.
    • React
    • OpenCV
    • PyTorch
    • MediaPipe
    • Flask

  3. DevDuels

    Winner @ HackTheValley

    A web game that encourages effective code reviews through competition and real-time AI feedback.

    • Responsive Next.js + Tailwind front end using lazy loading and code splitting for efficient rendering.
    • MongoDB + GitHub API back end for auth, storage, and user integration.
    • Context-aware feedback via embeddings & RAG with LangChain, semantically analyzing code.
    • Next.js
    • MongoDB
    • LangChain
    • Tailwind
View Full Project Archive

Logbook

  1. Jun 20, 2026

    Taming React re-renders

    Traded prop-drilling for memoized Redux selectors and React.memo on hot list rows, which cut wasted renders sharply. Lesson: profile first — useMemo everywhere is a smell, not a fix.

    • React
    • Redux
    • Performance
  2. Jun 8, 2026

    Killing Lambda cold starts

    Provisioned concurrency plus a leaner bundle (lazy-loading the AWS SDK v3 clients) dropped p99 cold starts from ~1.2s to under 300ms.

    • AWS
    • Lambda
    • Serverless
  3. May 27, 2026

    Window functions > N+1 queries

    Replaced a pile of running-total queries with one pass using SUM() OVER (PARTITION BY …). One query, far less app-side glue, and the planner does the heavy lifting.

    • PostgreSQL
    • SQL