I enjoy building software where research meets real-world impact. My work spans statistical computing, AI systems, open source, and full-stack development, with a focus on creating practical, scalable, and scientifically grounded solutions.
🌐 Portfolio • 💼 LinkedIn • 📧 Email
| Focus | Work |
|---|---|
| 🔬 QMCPy | Developing Copula Methods and ProductTransform support |
| 📚 Research | Exploring probabilistic modeling and Quasi-Monte Carlo methods |
| ⚙️ Software | Turning research concepts into reusable tools |
| Project | Focus | Highlights |
|---|---|---|
| 🔬 QMCPy | Open Source • Scientific Computing | Contributed support for dependent distributions in TrueMeasure through the SciPy wrapper. Currently extending the library with Copula methods and ProductTransform for advanced probabilistic modeling.📖 Project Blog: Extending SciPyWrapper to Support Dependent and Custom Distributions |
| 🌍 SoReMo | Research • Full-Stack | Built an interactive platform exploring the environmental, economic, and community impacts of large-scale AI infrastructure through geospatial visualization and research-driven analytics. 📄 Publication: The People v. Hasty AI • 🌐 Live Platform: people-v-ai.vercel.app |
| 🎤 Voice-to-Action Productivity Assistant | AI Productivity | AI-powered application that transforms spoken ideas into structured tasks, reminders, calendar events, and notes, helping users convert voice input into organized productivity workflows. |
| 🚀 LaunchVerdict AI – Startup Idea Critic | AI Decision Support | AI-powered platform that evaluates startup ideas, identifies risks, scores business potential, and provides actionable insights to help founders validate and refine ideas before building. |
| 🌐 Portfolio | Personal Website | A central hub showcasing my projects, research, open-source contributions, technical experience, and ongoing work. |
| Area | Technologies |
|---|---|
| 💻 Languages | Python • C++ • JavaScript • TypeScript • SQL |
| 🤖 Machine Learning | PyTorch • TensorFlow • Scikit-learn • LightGBM • XGBoost • SHAP |
| 🧠 AI Engineering | OpenAI • Gemini • Groq • LangChain • RAG • AI Agents • MCP |
| ⚙️ Backend | FastAPI • Node.js • Express • REST APIs |
| 🎨 Frontend | React • Next.js • Svelte • HTML5 • CSS3 • Tailwind CSS |
| 🗄️ Data Engineering | PostgreSQL • MySQL • Pandas • NumPy • SciPy • Snowflake • Kafka • Airflow |
| ☁️ DevOps & Deployment | Git • GitHub • GitHub Actions • Docker • Linux • Vercel |
| 📊 Visualization | Matplotlib • Plotly • Recharts |
| 🔬 Research & Scientific Computing | QMCPy • Quasi-Monte Carlo • Copula Methods • ProductTransform • Bayesian Optimization • Statistical Computing |
- 📚 Research Software
- 🤖 Artificial Intelligence
- 📈 Statistical Computing
- 🌍 Open Source
- ⚙️ Backend Engineering
- 💡 Building products from ideas
I enjoy solving problems that sit at the intersection of mathematics, software engineering, and AI. Whether it's contributing to open source, developing research software, or building intelligent applications, I like turning ideas into tools that people can actually use.
Always learning. Always building.