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@marcosfermin

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AI Engineer | LLM, RAG, AI Agents, Automation

$60 USD / hora

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Bandera de UNITED STATES

United States (6:21 p. m.)

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Se unió el mayo 19, 2023

$60 USD / hora

・

I help teams turn scattered docs, tickets, and logs into LLM‑powered internal tools and automation that save hours per week and reduce operational mistakes. Over the last 9+ years I’ve built and operated secure, production‑grade backends, AI features, and DevOps pipelines for SaaS products, higher‑education, and enterprises. What I can do for you ✅ Build "Chat with your Data" & RAG Systems • Internal "ask anything" assistants over knowledge bases, handbooks, logs, tickets • RAG pipelines with robust retrieval, access control, and evaluations • OpenAI & Claude integrations (chat, embeddings, tools/agents), including Azure OpenAI • Modern dev tooling: Cursor, Claude Artifacts, MCP servers for reliable tool‑use ✅ Design & Implement Reliable Backends • Python APIs and microservices (FastAPI / Django REST / Flask) behind your AI features • Clean, testable architecture and documentation your team can maintain • SQL/NoSQL data models, caching (Redis), background jobs, webhooks ✅ Automate Workflows & Operations • AI‑driven workflows that reduce manual review and ticket triage • Integrations between your app and third‑party tools (CRMs, email, marketing, data platforms) • Scheduled jobs, alerting, and reporting dashboards ✅ DevOps & Cloud Infrastructure • Docker & Kubernetes deployments, CI/CD pipelines • Infrastructure as Code, observability (logging, metrics, tracing) • Secure, scalable setups on AWS/Azure (networking, secrets, backups) 🏆Why clients hired me ✅Business‑first, not model‑first. Every AI feature and backend change is tied to a clear goal: faster workflows, fewer errors, or better insight from your data. ✅Production mindset. I focus on reliability, observability, and security from day one, so your system can stand up to real usage, not just demos. ✅Clear communication. I keep you updated with short, non‑technical status summaries and propose options with trade‑offs so you can decide quickly. ✅End‑to‑end ownership. From initial architecture and POCs through deployment, monitoring, and hand‑over documentation. 🧑‍💻Next steps If you need an engineer to design, build, or stabilize AI‑driven backends, RAG apps, or internal automation, send me a short message about: 1. What your system does today? 2. what you want it to do and what do you want to build? 3. ETA I’ll reply with an honest assessment of fit and a concrete next step (quick call, architecture sketch, or small paid discovery task).

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Experiencia

Senior AI & Python Platform Engineer

oct, 2025 - abr, 2026

•

5 meses, 30 días

Barnard College

oct, 2025 - abr, 2026

•

5 meses, 30 días

Lead Python platforms that ingest logs, monitoring data, and tickets for capacity and incident analytics. Build FastAPI microservices for log summarization, semantic ticket search, and knowledge retrieval. Implement RAG workflows with LangChain and vector DBs for natural-language queries over runbooks and docs.

Bandera de UNITED STATES

New York, United States

oct, 2025 - abr, 2026

•

5 meses, 30 días

CUNY Graduate School of Public Health and Health Policy

mar, 2020 - oct, 2025

•

5 años, 7 meses

Senior Python Infrastructure & Data Automation Engineer

mar, 2020 - oct, 2025

•

5 años, 7 meses

Built Python pipelines to collect logs, metrics, and tickets from servers and applications. Developed Python and SQL reports highlighting recurring issues and capacity risks. Automated patch checks, audits, backups, and drift detection with Python, Bash, and PowerShell. Designed schemas for servers, apps, incidents, and tickets to support ML and LLM use cases. Integrated AWS and Azure services for storage, backup, and web hosting.

Bandera de UNITED STATES

New York, United States

Python Automation & Systems Engineer

mar, 2020 - oct, 2020

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7 meses

Automated support workflows with Python, PowerShell, and Bash for onboarding and health checks. Built Python tools to correlate tickets, AD logs, and event logs into incident timelines. Structured troubleshooting guides designed for ingestion by LLM-based assistants. Wrote scripted deployment checks and log parsers to validate releases. Provided advanced Windows Server, IIS, and LAMP support using scripted diagnostics.

Bandera de UNITED STATES

New York, United States

mar, 2020 - oct, 2025

•

5 años, 7 meses

Infrastructure Automation & Endpoint Engineer

ago, 2016 - feb, 2020

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3 años, 6 meses

Guttman Community College

ago, 2016 - feb, 2020

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3 años, 6 meses

Used SCCM and PDQ Deploy to automate imaging, software installs, and patching. Wrote PowerShell and Python scripts to capture endpoint inventory and patch status. Created detailed procedures and flows that support self-service and AI search. Coordinated with central IT and vendors to standardize endpoint automation.

Bandera de UNITED STATES

New York, United States

ago, 2016 - feb, 2020

•

3 años, 6 meses

Educación

Bachelor of Science in Information Systems

2023 - 2024

•

1 año

Bandera de UNITED STATES

United States

2023 - 2024

•

1 año

Associate Degree / AAS in Information Technology

2015 - 2017

•

2 años

Bandera de UNITED STATES

United States

2015 - 2017

•

2 años

Calificaciones

Microsoft Certified: Azure AI Engineer Associate

2026

Microsoft

https://learn.microsoft.com/en-us/users/marcosfermin-6384/credentials/6d15a9d2d0b4c6f2

2026

System Administrator(DevOps/Backend Focus)

2026

Micro1 AI

https://micro1-portal-data.s3.amazonaws.com/engineer-certificates/1778037378-d9be2265-e06a-4710-9ac3-d37f00b4f806.jpg

2026

Certificaciones

P

Preferred Freelancer Program SLA

Python Level 1

Python

AI Training - Freelancer Global Fleet

AI Training - Freelancer Global Fleet

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Total de trabajos publicados

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