At LTM (formerly LTIMindtree), I build Python backend systems that turn operational workflows into scalable, automated services.
I developed a production Capacity Forecasting system using ML-based time-series models, helping infrastructure teams make VM allocation decisions across 15+ resources. I also built FastAPI feature-toggle services and achieved 100% API test coverage with Pytest.
I automated Google Tag Manager and Google Analytics 4 configuration through Flask REST APIs, eliminating 100+ manual ServiceNow tickets. For an AI-driven reporting platform, I built Django APIs integrated with Databricks, Azure Storage, MSSQL, and uploaded-document pipelines.
I also build agentic AI systems using LLMs, LangGraph, and RAG. My IT support automation workflow achieved 60% autonomous resolution across 50+ evaluated tickets through contextual retrieval, dynamic tools, routing, and human escalation.
