What I Build

Production Python systems for AI workflows — FastAPI backends, agents, RAG, automation, and data infrastructure.

AI & LLM Systems

Production LLM integrations, agent pipelines, and RAG systems built on real open-source infrastructure.

LangGraph Agent Pipelines

Multi-step autonomous agents using LangGraph for orchestration — planning, tool use, and state management.

RAG Systems

Retrieval-Augmented Generation pipelines with FAISS or pgvector, connecting LLMs to structured and unstructured private data.

LLM Integration & API Wrapping

Integrating OSS models (Ollama, vLLM) or hosted APIs (OpenAI, Anthropic) into backend services with streaming and fallback handling.

Evaluation & Observability

Automated LLM eval pipelines, prompt regression testing, and structured logging for production inference.

Data Pipelines & Backend

Reliable backend systems and data infrastructure using Python, FastAPI, PostgreSQL, and Redis.

FastAPI Services

Production REST APIs with async handling, SQLAlchemy ORM, Pydantic validation, and structured error logging.

PostgreSQL & TimescaleDB

Schema design, time-series storage, query optimization, and migration management for data-heavy applications.

Redis Caching & Queuing

Session management, response caching, and lightweight job queues using Redis in production environments.

Analytics & Monitoring

Custom metrics pipelines with Prometheus, log aggregation, and dashboard integration for operational visibility.

Real-Time & Data-Intensive Systems

Real-time Python systems, streaming pipelines, and long-running data workloads. Trading systems are one proof domain, not the primary service category.

Real-Time Decision Engines

Long-running Python services that combine streaming inputs, stateful logic, signal generation, and explicit operational controls.

Evaluation & Simulation Harnesses

Reproducible evaluation and simulation layers for systems where model, rule, or strategy behavior must be measured before deployment.

Streaming Data Pipelines

WebSocket and event-driven ingestion, normalization, backpressure-aware processing, and persistent storage for real-time workloads.

State & Regime Modeling

Stateful classification and regime-aware logic for systems that need to adapt behavior as operating conditions change.

Full-Stack Products

Complete web applications from API to UI — React/Next.js frontends, Docker deployments, and CI/CD pipelines.

React / Next.js Frontends

Server-side rendered or statically generated frontends with Tailwind CSS, Framer Motion, and accessible component design.

Data Dashboards

Real-time trading dashboards and analytics views with TradingView Charts and live WebSocket data feeds.

Docker & Production Deployment

Containerized multi-service deployments with Docker Compose, managed deployments on Railway, GCP, or DigitalOcean.

MVP to Production

End-to-end delivery from concept to deployed product — GitHub Actions CI/CD, environment management, and post-launch support.

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