01 // PRODUCTS & CASE STUDIES

01 // PRODUCTS & CASE STUDIES

Shipped Software & Live Systems

RAG Studio & Ingestion Engine

Deterministic RAGยทGrounded Citations

Upload a PDF, paste a YouTube link, or give it a website URL โ€” the system reads it all in the background and lets you chat with that content. Every answer it gives links back to the original source, so you know it's not making things up.

Inngest WorkflowsVector EmbeddingsStreaming RAGFirecrawl & Multi-Format Ingestion

Interruption-Resilient Voice Agent

<800msยทVoice Turn Latency

A conversational voice agent that responds in under a second and handles interruptions the way a real person would โ€” the moment you speak over it, it stops, listens, and continues without losing track of where the conversation was.

OpenAI Voice SDKBidirectional WebSocketsStreaming Audio BuffersTurn-State Machine

Dialogue Spark Viz

Real-TimeยทAudio Spectrum Telemetry

A voice agent paired with a live visual display โ€” as you talk and as the AI responds, you can watch the audio waveform react in real time. It shows you exactly when the AI is listening, thinking, or speaking.

Web Audio APICanvas Dot-MatrixReact & Tailwind CSSWebSockets

02 // WHAT I CAN BUILD

02 // WHAT I CAN BUILD

Product & Technical Capabilities

Autonomous AI Agents & Co-Pilots

Replacing multi-step manual processes with smart conversational tools.

I build AI agents that can actually get things done โ€” they think through a problem, call external tools or APIs when needed, handle errors gracefully, and return structured, predictable results.

Conversational onboarding co-pilots (text + voice)
Multi-step task orchestration with LangGraph & OpenAI SDK
Structured output extraction with strict validation โ€” no hallucinations
Human review checkpoints built in for critical decisions
LangGraphOpenAI SDKTool CallingMulti-Agent SystemsStructured Outputs

Real-Time Conversational Voice AI

Voice AI that feels natural โ€” not robotic.

I build voice agents that sound and behave like a real person โ€” they respond fast, pause when you interrupt them, and never lose track of the conversation.

Sub-second response time (<800ms voice turn latency)
Handles interruptions instantly without breaking conversation flow
Live audio visualization so users always know the system is active
Works across multiple languages
OpenAI Voice SDKWeb Audio APIBidirectional WebSocketsStreaming AudioTurn Detection

Production RAG & Context Engineering

AI that answers from your actual data โ€” not guesswork.

I build retrieval systems that give AI models the right information at the right time, so they answer accurately from your business data instead of making things up.

Hybrid search combining keyword and semantic (vector) matching
Smart query rewriting that breaks complex questions into sub-queries
Vector database management (Qdrant, PgVector)
Efficient context packaging to reduce cost without sacrificing quality
PgVectorQdrantQuery RewritingRerankingContext Compaction

0โ†’1 Product Architecture & Scalable Backends

Building from a blank page to millions of daily users.

From the very first database table to Dockerized deployments that handle millions of requests, I take full technical ownership โ€” including infrastructure, scalability, and reliability.

High-scale platforms handling 3M+ requests/day at 99.99% uptime
Breaking monolithic apps into independent, scalable microservices
PostgreSQL optimization, caching with Redis, and connection management
Automated deployments with zero downtime using Docker and CI/CD pipelines
Node.jsTypeScriptPostgreSQLPrismaRedisDockerAWS Lambda

03 // ENGINEERING PHILOSOPHY

03 // ENGINEERING PHILOSOPHY

How I Ship Fast Without Breaking Things

01 / MINIMAL CODE

Write only what the problem needs. No unnecessary complexity, no bloated dependencies โ€” just clean, purposeful code that's easy to read and even easier to change.

02 / PREDICTABLE OUTPUTS

AI should never be a black box in a real product. Every AI output goes through strict schema validation (Zod) before it touches any application logic โ€” no surprises in production.

03 / SMART VELOCITY

I use Claude Code & Cursor rules to ship faster without cutting corners โ€” delegating repetitive tasks to AI so I can focus on the decisions that actually require judgment.

Stack: TS ยท Node.js ยท PostgreSQL ยท Docker ยท Rust ยท OpenAI / Claude

04 // RECOGNITION

04 // RECOGNITION

Milestones & Awards