Fredy Hernández

• Applied study of LLMs, RAG techniques, and agent orchestration with LangChain through official documentation, specialized books, and personal Python projects.

• Practice with Hugging Face models (inference, basic fine-tuning) and OpenAI APIs.

• Exploration of evaluation and observability of LLM systems in simulated production environments.

• Designed and integrated REST APIs to connect internal and external systems, improving interoperability between platforms.

• Automated data flows with Python applying reusable patterns, significantly reducing manual intervention.

• Optimized complex SQL queries in PostgreSQL/MySQL, improving the performance of business processes.

• Developed internal tools in Python, Bash, and Perl for automating operations in enterprise Unix infrastructures (SuSE, Solaris, AIX).

• Technical support and operation on critical high-availability infrastructure.

• Incident and task management in Jira, collaborating with multidisciplinary teams.