Engineering case studies

Production Systems

Not projects. Systems. Each one is a deep technical breakdown of real problems, real constraints, real tradeoffs, and real outcomes. What was built, why it was built that way, and what failed along the way.

AI Engineering·In Progress

CareerLens Agent Platform

AI-native career intelligence platform using LangGraph multi-agent architecture, GPT-4o, OpenSearch, and reflection loops to deliver personalized, structured career analysis.

PythonFastAPILangGraphLangChainGPT-4oOpenSearch
7
Agent Nodes
3
Reflection Loops
Case study
AI Engineering·Production

AI Product Discovery Engine

Production semantic search for an e-commerce marketplace — natural language queries mapped to relevant product categories using Django, Google Embedding API, and Gemini LLM reranking.

DjangoGoogle Embedding APIGeminiOpenSearchNext.jsPostgreSQL
< 220ms
Query Latency
Significant lift
Rerank Precision
Case study
Backend·Production

Database Performance Optimization

PostgreSQL indexing strategies that reduced query latency 10–40× across a high-volume Django application — without schema migration or application redesign.

PostgreSQLDjangoPythonpganalyzeEXPLAIN ANALYZE
10–40×
Latency Reduction
23
Queries Fixed
Case study
Financial·Production

Financial Ledger Infrastructure

Audit-ready double-entry ledger system, invoicing engine, and refund workflows for a financial platform — designed for correctness, traceability, and regulatory compliance.

PythonDjangoPostgreSQLRedisCeleryAWS
100%
Transaction Accuracy
Complete
Audit Coverage
Case study
Backend·Production

Document Intelligence Pipeline

Production ETL platform processing thousands of banking documents — PDFs, Word files, image attachments — using asynchronous processing, Celery, and Apache Spark.

PythonDjangoCeleryApache SparkPostgreSQLRedis
10K+
Documents/Day
97.3%
Processing Accuracy
Case study