“Engineering is the art of understanding complex systems.”
I'm Sebastián López Osorno, a developer from Medellín, Colombia, in my final semester of Computer Engineering. For more than 4 years I've been getting systems that don't talk to each other to share data people can trust.
My backend work started with Python scripts that cleaned revenue-collection data at Quipux. At MUV-U I moved on to integrating services with the company website, and then came product APIs, such as SmartPot's in Spring Boot with 130+ tests, and almost all of PepperCRM's backend in a team of four.
Today I run 20+ FastAPI services at TIVENOS, and most of the work sits in the systems on the other side. One that only spoke SOAP with WS-Security led me to learn Zeep, and a catalog that took minutes to sync became a background job that answers 202 Accepted and leaves a record of every run in the CRM.
Along that path I've worked on almost every side of a tech team, from data, CRM and backend to frontend, servers and, at TIVENOS, technical coordination. It lets me understand what marketing, finance or IT ask for without anyone translating it for me, and turn it into concrete tasks.
With artificial intelligence I took the same path, from building it to directing it. At university I built, with a classmate, an expert system in CLIPS, fuzzy logic with scikit-fuzzy and genetic algorithms, and on my own a reactive agent that decides which actuators to switch on; at SmartPot, an assistant with expert rules, fuzzy logic and scikit-learn models that forecasts when a crop will leave its range and proposes actions applied in bulk; and at ADCOM, lead contact with AI agents in Dapta.
I work with language models at both scales. On the small side, I fine-tuned Qwen2.5-1.5B with LoRA and built a RAG pipeline with a quantized Qwen2-0.5B and a FAISS index, meant to run on modest hardware. On the large side, I built an n8n agent that answers with Claude and queries three MCP servers I wrote in Python, and I've worked with GPT, with Gemini and with open models running locally through Ollama.
In daily development I direct coding agents, Claude Code among them, with engineering judgment. Before delegating I write down each project's rules, from commit authorship to what is never touched in production; then I review every proposal and run it through the same tests and the same CI as any other change. Having built these systems from the inside is what lets me decide what to delegate, spot when an answer doesn't hold up and use AI to save work without giving up the design.
Next is bringing those language models to the data I integrate today, with assistants that answer from each organization's own information. On the academic side, I finish the cybersecurity diploma in December 2026, graduate in March 2027, and then come a specialization in data science and a master's in cybersecurity.
What I care about most is data arriving complete and on time from one system to another, so nobody has to copy it by hand. I'm looking for a backend role in Python or Java where I design the services and also answer for them in production, remote or hybrid.
