Building systems where LLMs stop being demos and start being infrastructure.
Senior AI Engineer at BlackLine (FinTech), previously at Amazon where I built 0โ1 automated patching pipelines and ML-based early warning systems for AWS service reliability. Master's in AI from University of Cincinnati. AWS Certified ML Engineer.
๐ San Francisco Bay Area ย ยทย ๐ Open to AI Engineering roles
Multi-agent research assistant built at the MongoDB Agentic Orchestration Hackathon (Cerebral Valley, SF). Three specialized agents search grants, papers, and news sources in parallel โ coordinated by a LangGraph orchestrator with deterministic ranking and MongoDB Atlas for intelligent result caching. OpenAI handles keyword extraction; the system degrades gracefully when individual agents fail.
LangGraph ยท MongoDB Atlas ยท OpenAI ยท Python
Production-deployed forecasting assistant on Streamlit Community Cloud. Accepts arbitrary time series data and returns forecasts with natural-language explanations โ built for analysts who shouldn't need to know what SARIMA is.
LangGraph ยท Multi-Agent System ยท RAG ยท Python ยท LLMs ยท Time Series
Conversational business intelligence layer over structured product data. RAG pipeline with ChromaDB embeddings, LangGraph for multi-turn memory, GPT-4o-mini for generation. Designed to answer questions a sales rep would actually ask, not just "summarize this table."
LangGraph ยท Agentic Workflow ยท Advanced RAG ยท Critical Thinking ยท Conversation Streaming ยท Advanced Chatting Features ยท AI Explainability ยท ChromaDB ยท Multi-model support ยท RAG Evaluations ยท Human Feedback and Confidence Scoring ยท Python
DataScienceGPT is an AI copilot that compresses that entire Data Exploration and ML solution development into minutes. AI-powered Data Science team that can create ML solutions by applying Data Science techniques and employing a bunch of Data Science agents to do the job.
LangGraph (multi-agent orchestration) ยท RAG with ChromaDB ยท FLAML AutoML ยท OpenAI ยท Tool Calling ยท Plotly ยท Model Explainability ยท Streamlit ยท Multi-model support ยท Human-in-the-loop ยท Python
- Hakadorio โ Contributing to a local-first task manager with AI-powered task management (Python/FastAPI backend + TypeScript frontend). Built with Anthropic's Claude API for natural language task creation and management.
- ResoPrism โ Co-created at the MongoDB Agentic Orchestration Hackathon (Cerebral Valley, SF). Multi-agent research assistant using LangGraph orchestration, OpenAI-powered keyword extraction, and MongoDB Atlas for intelligent caching. Agents search grants, papers, and news in parallel with deterministic ranking.
Job Application Agent โ Fully automated application pipeline using LangGraph, n8n, and OpenClaw on a self-hosted Mac Mini. Reads job postings, tailors resume/cover letter via Claude API, submits โ with a human-in-the-loop review step before anything goes out.
Local AI Infrastructure โ n8n + Ollama + Claude API running on personal hardware. Exploring what changes when inference has no rate limits, no latency overhead, and no per-token cost.
Content Automation โ LLM pipelines that turn rough notes into polished LinkedIn posts, maintaining voice consistency across drafts.
New Updates every month.
- Long-horizon agentic task execution and failure recovery strategies
- Structured output reliability in production RAG pipelines
- Evaluation frameworks for multi-agent systems (beyond vibes-based testing)
- Foundation model fine-tuning for domain-specific reasoning
- Context caching, advanced RAG techniques to make RAG systems more powerful.
AI / ML
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Languages & Frameworks
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Cloud & Data
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