Applied AI systemsthat ship.
Agentic Engineering · Available for remote work
Services
Plan less, ship more.
I work with teams that need end-to-end execution. Every engagement includes implementation, not just recommendations.
Scoped engagement
Agentic Workflow Implementation
Design and implementation of multi-step AI workflows with tool calling, routing, and controlled outputs.
- Reliable task flows instead of single-prompt experiments
- Better control over tool usage and response quality
- Clear handoff paths for product teams
Deliverable: Working agentic workflow with documentation
Scoped engagement
MCP and Tool Integration
MCP-compatible tooling, tool schemas, and API transport integration across HTTP, SSE, and WebSocket.
- Faster integration of external tools and APIs
- Cleaner tool interfaces for AI clients and agents
- Easier debugging and maintenance
Deliverable: Production MCP tooling with schema documentation
Scoped engagement
RAG and Retrieval Workflows
Practical retrieval pipelines for grounded responses and lower hallucination risk in production use cases.
- Better context retrieval quality
- More stable outputs for domain-specific tasks
- Transparent architecture teams can extend
Deliverable: Retrieval pipeline with vector and/or graph backends
Scoped sprint
AI Product Prototyping
Fast implementation of scoped product features: automation paths, internal tools, and AI-enabled workflows.
- Working prototype with production direction
- API-first architecture from day one
- Shorter time from concept to usable feature
Deliverable: Working prototype ready for product iteration
Scoped engagement
Local Inference and DevOps
Containerized setups for local AI workflows including ROCm environments, inference APIs, and reproducible stacks.
- Repeatable dev environments for the full team
- Lower setup friction and faster experimentation
- Faster experiment-to-deployment flow
Deliverable: Dockerized inference stack with runbooks
Best fit
- Teams with a clear problem and a tight timeline
- Founders who want direct technical execution
- Companies needing implementation beyond prompt writing
Not a fit
- Pure branding websites without engineering scope
- Research-only roles without delivery ownership
- Projects expecting guaranteed outcomes without technical discovery
Experience
15+ Years Shipping
From Flash websites and casino games to AI agent systems. Adaptability is the constant.
Ohara
AI Engineer
Contract · Remote- Designed template injection system that eliminated LLM hallucinations in agent-generated code.
- Built text-to-3D pipeline: text prompt → image model → 3D model → GLB file, fully automated.
- Built Solidity tool: agent writes code, tool compiles, signs, deploys to blockchain, returns address.
- Integrated MCP client/server protocols, function calling schemas, multi-model workflows.
ADGS
Senior Frontend Developer
Full-time · Doha, Qatar- Built Pandexit: real-time Leaflet maps, heatmaps, and REST analytics for epidemiological simulation.
- Built STROKK: biometric capture app with custom JS keyboard for behavioral authentication models.
- Built dynamic form generators driven entirely by API endpoint schemas — zero hardcoded forms.
- Delivered Three.js 3D prototypes, Node.js PDF generation, and multiple analytics dashboards.
Grupo Ayex
Full-Stack Developer & Game Developer
Full-time · CABA, Argentina- Shipped 2 casino games to physical dual-monitor machines with C# API, ticket printing, hardware I/O.
- Built a production JavaScript mobile roulette game.
- Built an AR prototype in Unity with QR flows and 3D mobile interactions.
- Built full-stack integrations with Azure Face API, Facebook API, Twitter/X API, and Google Maps API.
Globant (for EA)
Frontend Developer
Full-time · CABA, Argentina- UI changes and bug fixing on EA NHL and UFC titles in a 30-person Scrum team.
- Worked with AS3, Lua, and Perforce workflows across feature updates and QA cycles.
- Implemented frontend state-machine and menu-flow adjustments for game releases.
Santo Mate
Game Developer
Full-time · CABA, Argentina- Built slot machine framework core: reel lifecycle, reward triggers, and game-state logic.
- Shipped 4 production game variants in a high-speed cycle of roughly 6 months.
- Led coordination with design and asset teams to keep delivery flow stable under short deadlines.
Repos
Public work that shows how I build
A selection of open-source projects reflecting how I implement systems in practice. All linked to GitHub.
open-research
Multi-agent deep research system with 5 coordinated agents (planner, finder, summarizer, reviewer, writer), real-time telemetry, session persistence, and cited PDF output.
- Multi-agent
- Ollama
- Docker
- SQLite
strix-llm-api
Containerized inference gateway for local LLMs via ROCm 7.10. Hardware-native, modular, exposes OpenAI-compatible completion API.
- LLM Serving
- ROCm
- Docker
- AMD
lightgraph-rag-architecture
RAG system combining vector search with knowledge graphs for structured and semantic retrieval. Dockerized with a Vite frontend.
- RAG
- Vector Search
- Knowledge Graph
- Vite
vanilla-rag-architecture
Transparent, local semantic search engine. The baseline RAG implementation every engineer should understand before adding abstractions.
- RAG
- Embeddings
- Local
- Educational
mcp-dashboard
MCP schema and integration explorer. Built to inspect, test, and debug MCP tool schemas and integration flows visually.
- MCP
- Dashboard
- Tool Schemas
comfyui-strix-docker
Docker setup for ComfyUI on AMD Strix Halo with ROCm 7.10. Solved the Python 3.13/3.12 mismatch and silent GPU fallback issues.
- ComfyUI
- ROCm
- Docker
- AMD
Skills
Delivery Areas
Built across 15+ years and backed by open-source repos. Everything listed here has been shipped.
Agentic Systems
Multi-agent orchestration, tooling, context design, context engineering, and prompt engineering
- Multi-agent
- Tooling
- Context engineering
Applied AI
RAG and retrieval workflows
- RAG pipelines
- Vector search
- Knowledge graphs
Infrastructure
DevOps, containers, vector databases, RAG backends, production APIs
ContainerUP
Vector DBREADY
RAG PipelineACTIVE
API ServerOK
- Docker
- Local inference
- Vector DBs
- Redis
Languages & Frameworks
TYTypeScript
PYPython
REReact
NENext.js
FAFastAPI
LALangChain
OPOpenAI API
VEVector DBs
DODocker
THThree.js
NONode.js
MCMCP
SOSolidity
YOYOLO
PHPhaser
LELeaflet
TYTypeScript
PYPython
REReact
NENext.js
FAFastAPI
LALangChain
OPOpenAI API
VEVector DBs
DODocker
THThree.js
NONode.js
MCMCP
SOSolidity
YOYOLO
PHPhaser
LELeaflet
Education
Applied AI degree, shipped projects
B.Sc. Applied Artificial Intelligence — IU International University of Applied Sciences, Germany. In progress, remote. High marks across technical modules.
IU International University
Germany · Remote
B.Sc. Applied Artificial Intelligence
In progress
Cloud ProgrammingScore 100%
OOP PythonScore 100%
Cloud ComputingScore 97%
Intro to PythonScore 97%
Computer VisionScore 87%
Computer Vision (Essay)Score 78%
EET N°468
Rosario, Argentina
Personal and Professional Computing
Technical High School Diploma - IT
Cloud Programming
Score 100%Serverless/cloud-oriented implementation patterns.
snakeless
OOP Python
Score 100%Class design, data modeling, and practical OOP structure.
healthhub
Computer Vision
Score 78%Comparative paper: YOLOv8 vs Detectron2 vs EfficientDet, with a custom frame-by-frame analysis frontend.
computer-vision
FAQ
Your questions, answered with clarity
Short answers to help you decide fit and engagement scope quickly.
Contact
Start with a focused project scope
Send context, constraints, and desired outcome. I will reply with scope, timeline, and next step options.