Hari User

I’m an AI/ML engineer specializing in LLM systems, RAG architectures, and computer vision, with a strong backend foundation in Python, FastAPI, and PostgreSQL. I build production-grade intelligent reporting and scoring platforms that support large-scale stakeholder workflows.

In my current role as a Software Engineer at RandomWalk.ai, I engineered an AI-driven scouting intelligence system for an English Premier League club, supporting ~85 scouts and recruitment stakeholders. I designed LLM-based pipelines that analyze raw scouting reports, generate structured summaries, and deliver qualitative feedback, and I automated monthly reporting with cron workflows to improve visibility and reduce manual effort.

I also build scalable, observable AI infrastructure—optimizing PostgreSQL/SQLAlchemy schemas and data pipelines, integrating Azure Blob Storage, and creating agentic workflows to orchestrate multi-step tasks. On the MLOps side, I focus on reliable inference through LLM gateway patterns, semantic caching (pgvector), and real-time Prometheus observability for latency, cost, and usage.