Skip to content
View StamKavid's full-sized avatar

Block or report StamKavid

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
StamKavid/README.md

Portfolio Substack

Hey, I'm Stamatis 👋

AI Innovation Lead at Pfizer, where I run a team of AI engineers focused on one specific problem: getting AI from "cool demo" to actually working in production. We scout emerging tech, stress-test it against enterprise reality, and figure out what's ready for prime time — and what isn't.

I founded The Last AI Mile, a technical community for AI engineers who are tired of the gap between proof-of-concept excitement and production deployment pain. If you've ever built something brilliant in a notebook that died the moment it hit a real pipeline... yeah, that's what we talk about.


📂 Projects

Three specialized AI agents — Financial Analyst, Research Analyst, and Investment Advisor — collaborate to analyze crypto markets end-to-end. Built with CrewAI, it uses tree-based feature selection across 85+ technical indicators and time-series prediction to generate comprehensive investment reports. MBA Dissertation project.

Python CrewAI yfinance scikit-learn Pandas Seaborn

An 8-chapter structured course for mastering prompt engineering with Claude AI. Covers prompt architecture, context engineering, few-shot learning, output formatting, and production optimization. Includes working code examples, interactive exercises, mermaid diagrams, and an assessment engine.

Python Claude API Prompt Engineering

10-chapter deep dive into Large Language Models following Andrej Karpathy's methodology. Covers the complete pipeline from data processing and tokenization through transformer architecture, pre-training, supervised fine-tuning, RLHF, and deployment — with hands-on code and visual diagrams throughout.

Python LLMs Transformers RLHF

Full stack healthcare app correlating patient interactions with hospitalization duration using the MIMIC-III clinical database. Flask REST API backend, React frontend, and ML prediction pipeline — data science through deployment in a single repo.

Python Flask React scikit-learn CatBoost XGBoost


🛠️ Tech Stack

AI/ML & GenAI — LLM orchestration & agent frameworks · RAG pipelines · Document AI & parsing evaluation · TensorFlow · PyTorch · Keras · scikit-learn · CrewAI · Model evaluation & benchmarking

Languages & Data — Python · SQL (Snowflake, Redshift, Athena) · R · Pandas · NumPy · SciPy

Web & APIs — React · Dash · Streamlit · FastAPI · NodeJS

Infra & Tools — AWS · Dataiku DSS · Git · GitHub (CODEOWNERS, PR templates, code review workflows) · Jira


🌐 Find Me

LinkedIn Substack


If you're building AI that needs to survive contact with production, let's talk.

Pinned Loading

  1. FinAgent FinAgent Public

    AI multi-agent system for comprehensive Bitcoin (BTC) analysis, combining financial news, market performance, and AI-driven price predictions for investment recommendations.

    Jupyter Notebook 52 13

  2. karpathy-llm-deep-dive karpathy-llm-deep-dive Public

    Complete deep dive into Large Language Models - from tokenization to deployment. Following Andrej Karpathy's methodology with hands-on examples and practical implementations.

    10 1