https://github.com/tommygrammar/tommygrammar
https://github.com/tommygrammar/tommygrammar
Last synced: 8 days ago
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- Host: GitHub
- URL: https://github.com/tommygrammar/tommygrammar
- Owner: tommygrammar
- Created: 2025-05-12T14:10:03.000Z (11 days ago)
- Default Branch: blackgrammar-projects
- Last Pushed: 2025-05-12T14:16:41.000Z (11 days ago)
- Last Synced: 2025-05-12T15:32:00.631Z (11 days ago)
- Size: 7.81 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Tommy Muga’s Software Engineering Portfolio
Hi there! I’m **Tom Muga**, a Software Engineer specializing in intuitive high-performance applications, ai/ml solutions, and open-source tools that bridge theory and real-world impact.
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## 🚀 Core Projects
### 🔹 EventImpact
* **Purpose:** Bayesian causal-impact analysis library for Python.
* **Use Case:** Measure the effect of promotions, campaigns, or other bounded events on time-series metrics.
* **Install:** `pip install eventimpact`
* **Repo & Docs:** [GitHub](https://github.com/tommygrammar/eventimpact) · [PyPI](https://pypi.org/project/eventimpact)
### 🔹 IntentMatcher
* **Purpose:** Natural-language intent recognition engine using similarity + Bayesian scoring.
* **Use Case:** Classify user queries into custom intents for chatbots, voice assistants, or support systems.
* **Usage:** Copy `intentmatcher.py` into your project; no dependencies beyond standard library.
* **Repo:** [GitHub](https://github.com/yourusername/IntentMatcher)
### 🔹 Generative Probabilistic Language Model
* **Purpose:** Bayesian‑seeded trigram response generator that self‑trains on its own outputs.
* **Use Case:** Lightweight conversational demos, educational experiments, or prototype chatbots.
* **Install:** Include via `pip` once published or clone directly.
* **Repo:** [GitHub](https://github.com/tommygrammar/Generative-Probabilistic-Language-Model)
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## 🛠️ Tech Stack
* **Languages:** Python (Flask, FastAPI, Jupyter) · JavaScript (Node.js, React)
* **Data & Systems:** PostgreSQL · Redis · MongoDB · Distributed Systems · Microservices
* **AI/ML:** scikit-learn · OpenAI API · Bayesian Modeling · Predictive Analytics, Causal inference
* **DevOps & Cloud:** Docker · GitHub Actions · Azure · Render
* **Practices:** Git · Agile/Scrum · Unit & Integration Testing
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## 📈 Key Achievements
* **50× faster data reads** in a multi-tenant SaaS pipeline using C-optimized modules.
* **99.9% uptime** serving 800+ concurrent users in production.
* **Open‑source maintainer** of three Python libraries with growing community adoption.
* **Publications** on information theory, self‑healing systems, and symmetry in data compression.
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## 📚 Publications
1. Leveraging Symmetry and Information Theory to Reduce Redundancy in Systems (2024)
2. The Self‑Healing Equation: A Universal Framework for Stability, Adaptation, and Chaos Management (2023)
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## 💬 Get In Touch
* 📧 [[email protected]](mailto:[email protected])
* 🔗 [LinkedIn]([https://linkedin.com/in/yourusername](https://www.linkedin.com/in/tom-muga-7935412a4/))
* 🐙 [GitHub](https://github.com/tommygrammar/tommygrammar)
* 🖋 [Technical Journal](https://tommy-muga.web.app/)
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