Skip to content
View rprabhat's full-sized avatar
3 followers · 8 following
  • Sydney

Achievements

Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: StarstruckAchievement: Arctic Code Vault ContributorAchievement: Pull Shark

Achievements

Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: StarstruckAchievement: Arctic Code Vault ContributorAchievement: Pull Shark

Block or report rprabhat

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
rprabhat/README.md 
whoami: Prabhat
role: Data Systems Engineer
location: Sydney, AU
status: building data-intensive systems that scale

superpowers:
  - Data engineering at scale (Spark, Kafka, PostgreSQL)
  - ML/AI pipelines (computer vision, NLP)
  - Distributed systems (Java/Scala, distributed caching)
  - Cloud architecture (AWS, Docker)
  - ETL pipelines and data warehousing

stack:
  primary: [Python, Scala, TypeScript]
  jvm: [Java, Scala]
  backend: [Node.js, Spring Boot]
  cloud: [AWS, Docker]
  data: [Spark, Kafka, PostgreSQL]

projects:
  - chart-digitizer: ML-based chart data extraction (18★)
  - qullamaggie_scanner: Momentum stock scanner
  - video_analysis: AI study companion
  - apache/ignite: Open source contributor

hot_takes:
  - "AI won't save you if your data is a mess"
  - "Technical debt compounds — handle it or it handles you"
  - "If it doesn't have tests, it doesn't work"
  - "Distributed systems are just local systems with better lies"

currently:
  - Building data-intensive applications
  - Learning things the hard way so you don't have to

don't_ask:
  - Why not Rust? (yet)
  - For startup consulting (no)
  - For referrals (I don't have any)

connect:
  - github.com/rprabhat
  - linkedin.com/in/prabhatr
  - rprabhat.github.io/blog

---
*This README was compiled with 100% caffeine and unit tests.*

Pinned Loading

  1. Sensible-Analytics/NexusDB Sensible-Analytics/NexusDB Public

    Embedded Graph-Vector Database - Graph + Vector + Embedded, like SQLite for knowledge graphs

    Rust

  2. apache/ignite apache/ignite Public

    Apache Ignite

    Java 5.1k 1.9k

  3. chart-digitizer chart-digitizer Public

    Extract data points from chart images using machine learning - Jupyter Notebook

    Python 18 4

  4. qullamaggie_scanner qullamaggie_scanner Public

    📈 Professional momentum stock scanner using Qullamaggie methodology - 20-point scoring with live Yahoo Finance data

    HTML

  5. video_analysis video_analysis Public

    🎥 AI study companion for educational videos - transcripts, visual summaries & smart navigation with Split-Helix UI.

    Python