HRISHIKESH BHARDWAJ / ENGINEERING NOTES
Architecture, experiments,
and what I learned along the way.
Course and client work. The source is private; these are my own notes on building it.
Semester project
Twitter Analytics
20,000 requests per second at $0.31/hour in Phase 3, plus a separate 70,000-RPS Redis-only experiment that traded cost for throughput.
Course projects
AWS Foundations
A Wikipedia pageview pipeline and a reusable Terraform workspace taught me to make correctness, reproducibility, and cost part of the same design.
Elastic Scaling
I built an AWS scaling controller, then moved the same decisions into an Auto Scaling Group—balancing responsiveness, instance-hours, and what the monitoring data could actually tell me.
WeCloud Chat
I took supplied Spring services through containers, Helm, GKE, and AKS, making the differences between clouds explicit while keeping one understandable application definition.
Cloud Storage
A week with Yelp data, SQL, MongoDB and Redis—and the small ownership check that made a distributed lock worth thinking about.
Social Network Storage
How I assembled a social feed from MySQL, Neo4j and MongoDB, then added a cache policy I could actually observe.
Uber Ride Matching
Inside my Kafka and Samza ride-matching backend: partitioning by city block, tracking driver availability, and joining live events with rider profiles.
NYC Fare Prediction
Distance, time, airport trips, and the feature-engineering choices behind a cloud ML project that grew toward a voice-driven NYC assistant.
CloudTube Media Pipeline
An event-driven media pipeline across Azure Functions, Blob Storage, AI Vision, and Search—and the runtime details that made the handlers more careful.