I design systems that turn complex work into clear, dependable software.
I build AI applications, automated workflows, data products, and full-stack platforms for teams that need less manual work and better operational control.
Model Reasoning
LLM inference with system prompt constraints.
Evaluates input intent and formulates execution plan bounded by system instructions.
Featured Systems & Case Studies
AI Sales Lead Qualifier
Built with Python, LangGraph, and FastAPI, this system serves as intelligent middleware between inbound inquiry forms and CRM platforms. It parses unstructured lead communication, extracts key budget and decision-maker entities, scores intent, and updates CRM records.
WhatsApp Automation Hub
Centralized Python orchestrator for processing WhatsApp customer inquiries with intent classification and human handoff routing.
AI Invoice Parser
Extracts line items, totals, vendor details, and taxes from invoice PDFs using Vision AI models and structured JSON schemas.
Inside the Engineering Decisions
Concrete architectural notes and trade-offs derived from building AI and automation software systems.
Structured Input Validation Preceding Model Calls
Raw user payloads are parsed through structured Pydantic schemas before reaching LLMs, reducing malformed inputs and narrowing the exposed attack surface.
Human-in-the-Loop Threshold Gates
When confidence scores drop below threshold or high-risk rules trigger, execution pauses for active human verification.
Idempotency Controls in Webhook Pipelines
Webhooks use Redis queue state tokens to reduce duplicate database entries during upstream server retries.
Hybrid Retrieval Reranking for Technical RAG
Combining dense vector cosine search with BM25 keyword scoring and cross-encoder reranking is designed to improve retrieval precision on technical jargon.
Engineering Services
AI Agents & RAG Systems
Tool-using autonomous agents, multi-agent LangGraph graphs, and grounded RAG knowledge assistants bounded by strict schema guardrails.
Business Automation & Integrations
n8n workflow pipelines, vision document OCR extraction, and resilient webhook integrations connecting fragmented enterprise systems.
Full-Stack AI Products
Production-ready SaaS MVPs, client portals, and administrative analytics dashboards built with Next.js App Router and TypeScript.
Data Science & Machine Learning
Exploratory data analysis, predictive classification models, feature extraction pipelines, and interactive data visualization dashboards.
AI Evaluation, Safety & Observability
Systematic testing harnesses for measuring groundedness, hallucination rates, tool success, API cost, and latency across AI workflows.
Research-to-Prototype Engineering
Converting academic AI papers and experimental architectures into clean, working technical proof-of-concepts.
Research Notes
Towards a Science of Scaling Agent Systems
Multi-agent performance depends on task parallelism, sequential dependencies, tool density, and coordination topology rather than simple scale.
Authenticated Delegation and Authorized AI Agents
Establishes frameworks for authenticated, authorized, and auditable delegation through scoped credentials, OAuth 2.0, and OpenID Connect.
Generative AI at Work
NBER Working Paper 31161 field study showing generative AI tools provide the highest relative productivity boost to novice and mid-tier workers by codifying tacit knowledge.
The Oversight Game: Learning to Cooperatively Balance an AI Agent’s Safety and Autonomy
Stanford GSB Working Paper 4309 (arXiv:2510.26752) models the play/ask/trust/oversee framework to balance agent autonomy against human oversight risks.
Let's discuss your workflow requirements.
I am available for AI agent development, workflow automation, and full-stack software engagements. Direct communication, public code repositories, and clear outcomes.