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CHAPTER 01 — PROTAGONIST

HET RAVAL

PYTHON DEV.
ALWAYS LEARNING.

Builds backends with FastAPI, Django & Flask — clean APIs, solid logic, no fluff. Also works with Pandas, Matplotlib & Scikit-learn when the data needs to talk.

~/dev — zsh
➜ ~ whoami het — backend engineer ➜ ~ cat skills.txt Python · FastAPI · Django · Flask Pandas · Matplotlib · Scikit-learn PostgreSQL · REST APIs · Git ➜ ~ ./start_day.sh Building something great... ➜ ~
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01

ABOUT_ME

// ENTITY.RENDER
STATUS: ONLINE
PYPrimary
GOSecondary
SQLAlways
>> Hello, World.

Hey. I'm Het — a Python developer who genuinely enjoys building things on the backend. I work with FastAPI, Django and Flask to build REST APIs that are clean, structured, and actually make sense to read later.

I also spend time in the data side — working with Pandas for wrangling, Matplotlib for visualization, and Scikit-learn when a problem calls for some ML. I like understanding what the data is saying.

I'm early in my career, but I take the craft seriously. When I'm not coding, I'm reading docs, building small projects, or figuring out why something broke — which honestly is where the real learning happens.

// CURRENT STACK
FastAPI Django PostgreSQL Redis Pandas Scikit-learn Matplotlib Docker Git
INGEST TRANSFORM LOAD SERVE MONITOR INGEST TRANSFORM LOAD SERVE MONITOR
02

TECH_STACK

PYTHON FASTAPI DJANGO POSTGRESQL REDIS DOCKER GIT PYTHON FASTAPI DJANGO POSTGRESQL REDIS DOCKER GIT
🐍Python
FastAPI
🌿Django
🐘PostgreSQL
🔴Redis
🐳Docker
📚Git
🐼Pandas
📊Matplotlib
🤖Scikit-learn
🔗REST APIs
📝SQL
03

PROJECTS

Log Analyzer #001
ANOMALYZEAnalyze and Detect

Real-time log analysis and threat detection backend built with FastAPI, SQLAlchemy, and scikit-learn. Implements 12 rule-based detection engines covering brute-force, credential stuffing, impossible travel, data exfiltration, and admin abuse patterns. Features a production ML pipeline — IsolationForest trained daily on 30 days of behavioral data, persisted with joblib, and run as a separate inference job every 10 minutes using continuous anomaly scoring via decision_function(). Includes alert lifecycle management, WebSocket live-push, and API key authentication.

Python FastAPI SQLAlchemy APScheduler WebSocket joblib Scikit-learn
AI Safety Intelligence #002
CRIMESCOPEPredict and Explain

Urban crime intelligence platform built with XGBoost, Prophet, and LangChain, implementing ML-based crime type classification across 10 categories with SHAP explainability to surface why specific zones are flagged as high-risk. Full data pipeline ingesting 700k+ real Chicago crime records, enriched with weather and geospatial grid features. Time-series forecasting predicts crime volume trends, while a RAG-powered chat layer lets users query safety insights in plain English.

Python XGBoost LangChain FastAPI Streamlit
Matrimony Platform #003
TOGETHERLYMatch, Connect, Commit

A full-stack matrimony platform designed for seamless partner discovery, profile management, and secure user interactions. Built with FastAPI and SQLAlchemy, it supports scalable user onboarding and structured matchmaking. Implements detailed user profiles with preference-based matching, along with OTP-based authentication and role-based access control. Includes RESTful APIs for registration, browsing, and interest requests, supported by optimized queries and modular backend design.

Python FastAPI SQLAlchemy PostgreSQL JWT Auth
04

EXPERIENCE

Python Backend Engineer
Haronex Technologies
2025 — 2026
  • Built REST APIs with FastAPI and designed SQL schemas for data persistence
  • Participated in code reviews and contributed to backend architecture discussions
  • Worked with PostgreSQL, Redis, and optimized database queries
  • Deployed and maintained small-scale backend services using Docker
05

LET'S_BUILD

OPEN TO OPPORTUNITIES

Available for backend roles, data engineering contracts, and interesting problems worth solving.

hetraval3333@gmail.com