Selected Work

Production systems, public technical work, and experiments.

Explore the different kinds of work I build: production AI systems, public technical projects, sanitized company case studies, and smaller prototypes.

Production experience

Sanitized work across forecasting, agents, workers, APIs, and operator-facing product delivery.

Public technical work

Inspectable independent systems with direct repository and walkthrough evidence.

Sanitized case studies

Focused narratives about production decisions without private customer or architecture details.

Labs and prototypes

Smaller experiments that show technical range, speed, and curiosity.

01 / Production experience

Systems built for real operating constraints.

Sanitized evidence from work across forecasting, agent orchestration, backend services, asynchronous workers, and product interfaces.

Evidence-backed case study

Case study 01

HeySynth

Building the intelligence layer for retail teams managing real inventory decisions.

A story-led case study on how I helped turn forecasting, agent workflows, cloud worker reliability, backend APIs, and React surfaces into production-oriented retail planning systems at Techstars-backed HeySynth.

Role

Full-Stack AI/ML Engineer

Scope

Forecasting engineAgent orchestrationCloud workersMLOps reliabilityBackend APIsOperator UI

The hard part was not just producing forecast numbers. Retail operators needed forecasts they could control, audit, override, and trust across different channels and SKU histories.

My work connected the intelligence layer end to end: forecasting logic, Forecast Mode APIs, cloud-style worker pipelines, LangGraph-style agents, and the React surfaces operators used every day.

The result was a more production-minded planning system: safer model fallbacks, controllable risk posture, cleaner AI outputs, and MLOps reliability around long-running forecast workflows.

Open case study

02 / Public technical work

Independent systems you can inspect.

Public projects

AeroOps / Public repository

A TypeScript runtime for tool-using workflows.

AeroOps explores explicit routing, structured state, retries, tracing, provider-flexible model adapters, deterministic replay, and evaluation for long-horizon workflows.

TypeScriptTool routingStructured stateTracingEvaluation

Open AeroOps case study

View repository Watch walkthrough

03 / Sanitized case studies

Production narratives with private details removed.

HeySynth is one product ecosystem, but the work has multiple distinct systems inside it. These focused pages break the work into two clear lenses: production forecasting and agentic operator workflows.

Forecast Mode: making demand forecasting controllable for retail teams. preview

Evidence-backed deep dive

Focused deep dive

HeySynth

Forecast Mode: making demand forecasting controllable for retail teams.

A focused technical case study on forecasting strategy, model routing, channel/SKU controls, import reliability, and the MLOps path around long-running forecast workflows.

ML forecastingForecast Mode controlsMLOps reliabilityImport pipelinesPlanning UI

Focused case study available

Open the focused deep dive with real product evidence, implementation narrative, and technical decision context.

Open focused case study

Ask Synth + Flow: turning retail AI agents into daily operator workflows. preview

Evidence-backed deep dive

Focused deep dive

HeySynth

Ask Synth + Flow: turning retail AI agents into daily operator workflows.

A focused product-agent case study on Ask Synth, Flow, Playbook, LangGraph-style orchestration, tool-calling guardrails, output cleanup, and operator-facing decision support.

Agent orchestrationAsk SynthFlowPlaybookOutput safety

Focused case study available

Open the focused deep dive with real product evidence, implementation narrative, and technical decision context.

Open focused case study

04 / Labs and prototypes

Prototype builds and technical experiments.

These are smaller builds, demos, and explorations across realtime AI, agent orchestration, retrieval, mobile workflows, and data products. They are not positioned as production case studies; they show technical range, speed, and curiosity.

Demo build

Vocalis AI

Real-time voice assistant for continuous conversations, with live waveform visualization, interruptibility, and emotion detection using OpenAI Realtime API and WebSockets.

Next.jsOpenAI Realtime APIWebSocketsReact Audio VizEdge Functions

Open demo

Prototype

AgentGraph Studio

A fully functional visual orchestrator for multi-agent LLM workflows. Features interactive "Agent Nodes" with customizable system prompts (e.g., "Sarcastic Poet"), real-time model switching (GPT-4 vs GPT-3.5), and live execution visualization with feedback loops.

React FlowOpenAI APIZustandShadcn UINext.js

Open demo

Build

Sentinel

On-demand security dispatch platform (Uber-for-Security). Clients can request protective agents for specific missions. Features real-time geospatial tracking, agent matching, and WebSocket-based mission status updates.

FlutterGoogle Maps APIFirebaseDartGeofencing

APK iOS access

Demo build

Christosin.com

Digital media distribution platform for books and audio. Integrating a RAG layer to enable "Semantic Query" across the library, allowing users to converse with book contents for deep theological insights.

Next.jsPostgreSQLVector DBOpenAIStripe

Open demo

Experiment

InspireEdge AI

Built an AI-powered commerce intelligence engine with an ML pipeline for cart-abandonment detection, real-time LTV prediction, and personalized interventions.

PythonFastAPIRedisLangChainSupabase

Open demo

Experiment

Aircraft Engine Valuation Pipeline

Built a fault-tolerant extraction pipeline converting unstructured maintenance logs (PDF/scans) into structured valuation data with regex heuristics and LLM validation.

PythonGroqGPT-4OCRData Engineering

Open demo

Experiment

Finsight AI Terminal

Real-time financial analytics dashboard aggregating news, sentiment, and price data, with a custom anomaly detection engine and "Chat with Data" interface for traders.

Next.jsFastAPITimescaleDBWebSocketsRecharts

Open demo

Experiment

Crypto Sentiment Agent

Production-grade NLP pipeline classifying cryptocurrency news for "Hype" vs. "Utility" signals, using custom fine-tuned Transformer models on Hugging Face Inference Endpoints.

PyTorchHugging FaceTransformersReactMLOps

Open demo Code

Production systems, public technical work, and experiments.

Production experience

Public technical work

Sanitized case studies

Labs and prototypes

Systems built for real operating constraints.

Building the intelligence layer for retail teams managing real inventory decisions.

Independent systems you can inspect.

A TypeScript runtime for tool-using workflows.

Production narratives with private details removed.

Forecast Mode: making demand forecasting controllable for retail teams.

Ask Synth + Flow: turning retail AI agents into daily operator workflows.

Prototype builds and technical experiments.

Vocalis AI

AgentGraph Studio

Sentinel

Christosin.com

InspireEdge AI

Aircraft Engine Valuation Pipeline

Finsight AI Terminal

Crypto Sentiment Agent

Let's build useful AI systems, not impressive demos.