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granzer69/README.md

Ribhu Siripurapu

Backend & AI systems engineer — concurrent Go/Redis services, FastAPI platforms, and applied ML wired into real APIs.

B.Tech CSE (Data Science) @ MGIT, Hyderabad · Open to AI/ML & backend internships


terminal


Featured projects

High-concurrency booking path: Go API → Redis Lua atomic allocation + Streams → worker → MySQL. Docker Compose local stack and k6 load scripts.

Go · Redis · MySQL · Docker · k6

Engineering signal: Lua-atomic allocation + idempotent retries under concurrent clients.

Job-intelligence / ATS discovery platform — normalize listings, dedup, and provenance. Apply automation still in progress.

Python · FastAPI · SQL

Engineering signal: ATS discovery scaffolding (Greenhouse / Lever / Ashby) with match-engine work ongoing.

Resume analysis platform with JWT auth, Postgres + Alembic, and Claude structured scoring. Not autonomous apply.

FastAPI · React · Postgres · Claude

Engineering signal: authenticated scoring pipeline with real schema migrations.

Media-trust pipeline: Hugging Face fake-news classifier, sentiment, and heuristic trust / clickbait scores behind a FastAPI + Next.js UI.

FastAPI · Next.js · HF · TypeScript

Engineering signal: classifier + heuristics composed into a single trust API.

Keras sequence model for next-day close prediction, FastAPI inference, and a Next.js dashboard over historical CSV data.

TensorFlow/Keras · FastAPI · Next.js

Engineering signal: training → inference API → dashboard, not a notebook-only demo.

CNN leaf-disease classifier (38 classes) with an inference UI. Validation accuracy ~91% from training history on the held-out split.

TensorFlow/Keras · Python

Engineering signal: multi-class CNN with recorded ~91% val accuracy.


Architecture — Ticket Engine

Ticket Engine architecture

  • Redis owns hot allocation — Lua script does atomic pop + idempotent user book; Streams carry the persist event.
  • Worker persists sold state to MySQL — eventual consistency by design; durable ownership lives in MySQL.
  • Load path is instrumented — Docker Compose stack + k6 scripts (benchmark numbers not published yet).

Tech stack

Languages · Go · Python · TypeScript · C · Java · SQL

Backend · FastAPI · Redis · MySQL · Postgres

Frontend · React · Next.js

AI / ML · TensorFlow / Keras · scikit-learn · Hugging Face · Claude

Infra · Docker · Git · Linux · k6


Activity

Activity graph


Contact

misc

The Earth is flat — funniest thing you'll ever hear. (It's not. I just keep the bit.)

Pinned Loading

  1. CareerOS CareerOS Public

    FastAPI + React resume analysis with JWT, Postgres, Alembic, and Anthropic Claude structured scoring

    Python 1

  2. fake-news-analyzer fake-news-analyzer Public

    FastAPI + Next.js media trust analyzer — HF fake-news classifier, VADER sentiment, clickbait/heuristic scores

    TypeScript 1

  3. Plant-Disease-Classification Plant-Disease-Classification Public

    CNN leaf-disease classifier (38 classes, ~91% val acc) with Streamlit inference UI

    Jupyter Notebook

  4. Stock-Market-Predictor Stock-Market-Predictor Public

    Keras next-day close predictor with FastAPI inference API and Next.js dashboard (historical CSV)

    TypeScript 1

  5. Ticket-Engine Ticket-Engine Public

    High-concurrency ticket booking in Go — Redis Lua atomic allocation, Streams→MySQL persistence, Docker Compose, k6 load tests

    TypeScript 1

  6. Range-Apply Range-Apply Public

    FastAPI job intelligence — ATS discovery, normalization, dedup/provenance, match-engine scaffolding (apply automation in progress)

    Python 1