GTG

Led AI-based backend modernization for a distributed Python team, improving release reliability and documentation coverage to 95%. Designed and deployed a Python microservices ecosystem that reduced manual verification from 3 hours to 2 minutes (65% efficiency gain). Built and productionized a RAG pipeline (PostgreSQL + Pinecone/FAISS + GPT-4) that raised document-retrieval accuracy to 88%. Implemented a GraphQL API gateway that increased feature delivery speed by 18% and simplified client integrations. Rebuilt the eCommerce UI with React + Django API, raising user engagement 20% and conversion 12%. Deployed an AWS ML inference service processing 1.2M+ monthly API calls at 99.9% uptime with autoscaling and cost alerts.

Developed Django and FastAPI backends that increased system throughput by 32% for AI products. Produced React Native apps supporting 50K+ monthly users, reusing backend serializers and authentication flows. Trained and served TensorFlow/Scikit-learn models for recommendations, increasing user retention 18% and cutting inference time 30%. Refactored SQL and Redis caching layers, reducing average page-load time by 24% and stabilizing spikes during campaigns. Built DeFi-style modules (staking, lending, rewards) that grew platform revenue by 130% and were exposed via secure REST APIs.

Engineered enterprise Django MVC applications that improved usability metrics by 25% and reduced support tickets 30%. Modernized legacy WPF/desktop components by exposing new Python REST APIs, increasing internal productivity 40%. Tuned SQL queries and indexes, reducing latency 45% and improving uptime for reporting jobs. Delivered mobile modules with Xamarin used by 1K+ enterprise employees for field reporting.