AI/ML Data Engineer @ MEEAMI Technologies — Python, SQL & PyTorch; RAG/LLM systems, built in public one commit at a time.
- 💼 AI/ML Data Engineer at MEEAMI Technologies — LLMs, RAG & conversational AI
- 🔭 I ship small, runnable, documented projects — real code with real logs, no vaporware
- 📅 One Python exercise every day in python-daily — data pipelines, ML patterns, LLM building blocks
- 🧠 Currently deep in PyTorch — latest: a neural network that scores 98/100 on the FizzBuzz interview
- 📊 Day job muscle: SQL, data quality, and testing — I find the row that breaks the report
- 🎓 Indiana Wesleyan University · certifications from Microsoft, Google Cloud, MathWorks & Coursera below
| Project | What it proves |
|---|---|
| 🧠 neural-fizzbuzz | PyTorch MLP learns FizzBuzz from raw binary digits — 98/100 on unseen numbers, full training log + VS Code run screenshots included |
| 📅 python-daily | Consistency: one focused, runnable Python exercise per day — data quality, sqlite3, log parsing, embeddings, PyTorch drills |
| 📱 sms-spam-detection | Classic ML done properly: TF-IDF + Random Forest spam classifier on the UCI SMS corpus |
| 📄 plagiarism-checker | TF-IDF + cosine similarity from scratch — the math behind "how similar are these documents?" |
| 🤖 rag-conversational-ai | RAG pipeline learning build: LangChain + LlamaIndex, FAISS vector search, Dockerized services |
| 👁️ eye-contour-tracking-sam2 | SAM2 segmentation experiment for eye-contour annotation (PyTorch + OpenCV) |
| 🔍 bm25-search | Zero-dependency BM25 full-text search engine in pure Python — inverted index, Lucene-style IDF, CLI, 30 pytest tests, CI on Python 3.9–3.12 |
| 🗣️ pdf-image-ocr-reader | OCR for PDFs and scans (Tesseract + PyMuPDF) with offline text-to-speech for accessibility |
| Certification | Issuer | Issued |
|---|---|---|
| Annotate and Analyze Objects for Vision | Coursera | Mar 2026 |
| Introduction to Generative AI for Developers with Copilot | Microsoft | Feb 2026 |
| Introduction to Image Processing | MathWorks | Feb 2026 |
| Model Training & Evaluation | Coursera | Feb 2026 |
| NVIDIA: Fundamentals of Machine Learning | Whizlabs | Feb 2026 |
| Python Programming Fundamentals | Microsoft | Feb 2026 |
| Introduction to SQL for BigQuery and Cloud SQL | Google Cloud | Jun 2025 |
Credential IDs are listed on my LinkedIn.