Hi there, fellas!
I am a Software Engineer specializing in Applied AI, Python backend systems, and LLM orchestration. I focus on transforming machine learning models and large language models (LLMs) into reliable, scalable, and containerized production software.
With a solid engineering foundation in Python, automated scripting, and data processing, I build custom RAG (Retrieval-Augmented Generation) systems, autonomous AI agents, and asynchronous REST APIs designed for real-world enterprise use.
Core Competencies & Stack:
AI & LLM Orchestration: LangChain, RAG Architectures, Vector Search & Embeddings, Context Engineering, Fine-Tuning Principles (PEFT/LoRA), and LLM Evaluation.Backend & API Architecture: FastAPI, Asynchronous Programming (async/await), Pydantic Data Validation, RESTful APIs, and Unit Testing (pytest).
MLOps & Deployment: Docker, Containerization, Model Serving Lifecycle, System Monitoring, and Drift Detection.Scripting & Automation: Python, Bash, Web Scraping, and Automated Data Pipeline Workflows.
What I Deliver:
Production-Ready AI Backends: High-performance, low-latency APIs wrapped around modern LLM workflows.
Enterprise Document Systems: End-to-end RAG pipelines capable of processing complex unstructured data with low hallucination rates.
Clean, Maintainable Architecture: Fully containerized (Dockerfile / docker-compose) code that deploys smoothly without environment conflicts.
I write clean, well-tested code and communicate clearly to deliver reliable engineering solutions for your product. Let's connect to discuss how I can help build your backend and AI systems!
