CS & Applied Math @ Smith College | Machine Learning Fellow | HPC Researcher | Aspiring Software / AI / Data Engineer
I explore the intersection of AI, Data, and High-Performance Computing, building end-to-end solutions and scalable systems.
Languages
Frameworks & Libraries
Developer & HPC Tools
-
BottleNeck Detection | Chambers Capital Ventures
End-to-end analytics + ML workflow to identify operational bottlenecks in SMBs, validate model outputs, and deliver insights via a Streamlit dashboard. -
Distributed Bayesian Optimization | HPC Lab
Scalable pipelines for distributed Bayesian Optimization on HPC clusters, leveraging parallelization and performance bottleneck detection. -
Heart Disease Classification from PCG Data
Machine learning models (HMM, Random Forest, Gradient Boosting, Logistic Regression) + web-based diagnostic tool for cardiovascular disease classification from phonocardiograms. -
EvenQuads Probability Simulation
Monte Carlo & parallelized brute-force approach to compute probabilities of quads in k-card layouts in F₂ⁿ for n ≥ 6.
- Break Through Tech AI Fellow/AI Engineering – ML projects solving real-world industry problems,building dashboards
- HPC Researcher @ Smith College – Distributed Bayesian optimization, parallel pipelines, and HPC scaling.
- Undergraduate Researcher – Wearable data analysis, stress & exercise classification, PCG signal processing.
- Teaching Assistant | Calculus II – Helping students strengthen mathematical intuition and problem-solving skills.
✨ Always building, always learning ✨
📫 Connect with me: LinkedIn