Python Backend developer / DevOps /MLOps
Python backend developer and DevOps/MLOps engineer with 15+ years of experience in IT, specializing in Python. I design, build, and deploy high-performance APIs and data pipelines on AWS and GCP and I automate everything along the way.
My strength is the intersection of development, infrastructure, and AI: I don't just write the code, I ship it, scale it, and keep it running and I bring intelligent automation and ML models into production reliably.
From cutting execution times from 1 hour to 2 minutes using Python multiprocessing and AWS Sagemaker Machine Learning, to engineering CI/CD pipelines across multi-country deployments, I deliver systems that are fast, reliable, and maintainable.
I have hands-on experience deploying and integrating LLMs and Generative AI solutions from private model deployment on AWS Sagemaker with multi-model endpoints and shadow variants, to working with OpenAI API, Langchain, vLLM, and Ollama for local LLM orchestration. I'm also proficient in vector databases (Pinecone, FAISS), MLFlow for experiment, and optimization techniques like quantization, knowledge distillation, and speculative decoding.
Whether it's building AI-powered APIs with FastAPI, orchestrating ML pipelines with Apache Airflow, or deploying models with IaC (Terraform, CloudFormation, CDK), I bridge the gap between data science and production infrastructure.