Backend Developer specializing in Python and Django REST, building production-grade distributed systems. Transitioning from Healthcare Operations into Software Engineering with 3+ years of quality analysis, debugging, and process optimization experience now applied to scalable backend architecture.
Built production-style systems including an AI-powered lead intelligence engine, movie ticket booking platform, and Splitwise expense sharing system. Strong foundation in REST APIs, message brokers, database modeling, and distributed backend design.
Currently Seeking
Backend Developer / Django Developer roles in innovative tech companies
LLD, OOP, SOLID Principles, Distributed Systems Architecture
AI Lead Intelligence Engine
Featured Project
Production-Grade
Built a distributed backend system to asynchronously ingest, enrich, and analyze business leads using Django REST APIs, Celery workers, and Redis message queues. Designed non-blocking background pipelines orchestrating web enrichment and AI analysis.
40%
Latency Reduction
Through asynchronous processing
100%
Idempotent
Task execution prevents duplicates
01
Lead Ingestion
NEW state with initial data capture
02
Enrichment Pipeline
ENRICHING via Tavily web scraping
03
AI Analysis
ENRICHED with Groq LLM scoring
04
Delivery
COMPLETED with SMTP reports
05
Client → Django API → Redis Queue → Celery Workers → AI Service → DB → Email Service
Built ledger-based expense sharing engine with balance aggregation logic calculating "who owes whom." Designed group expense APIs and settlement flows with optimized relational data modeling for multi-user expense tracking.