I find patterns, build solutions, and chase impact through data.

I'm obsessed with connecting the dots between raw data and real-world change, AND learning something new every time I do it.

• Digging into complex data and finding meaning
• Building usable, scalable tools, not just shiny models
• Tackling problems that matter to real people
• Picking up new tech like it’s a puzzle I have to solve

My goal is to bridge the gap between cutting-edge Technologies and the humans who actually use it. Whether it's translating the “black box” of AI agents into something stakeholders understand, or building interfaces that connect complex models to real-world impact, I bring the tech down to earth and make it make sense.

Real-time facial ID system using ResNet50 + Attention + Triplet Loss (~95% accuracy). → Built FastAPI + React interface with 1:1 and 1:N matching → Roadmap: Improve fairness, speed, and deploy liveness detection

Built 95% accurate models using clinical data from 2,149 patients.
→ Prioritized interpretability and bias checks.
→ Exploring deployment as a clinical support tool.

Built real-time ML pipeline to replace expensive CFD simulations.
→ Developed FastAPI app for both technical + business users.
→ Focused on scalability, stakeholder alignment, and future monitoring.

Mapped 3 years of crash data to spot danger zones in NYC.
→ Used geospatial tools to recommend Vision Zero policy changes.
→ Planning real-time dashboards for urban planning.

Led development of a multiplayer escape room for all abilities.
→ Combined Unity, haptics, and spatial UX design.
→ Won 2nd place at VT HCI Symposium 🥈

Languages & Libraries:
Python (pandas, NumPy, scikit-learn, PyTorch), SQL, R, JavaScript

Frameworks & APIs:
FastAPI, Flask, React.js, REST

Visualization & Storytelling:
Tableau, Power BI, matplotlib, seaborn, ggplot2, GeoPandas

Dev & Cloud:
Docker, Git/GitHub, AWS (S3, Lambda), PostgreSQL

Soft Skills:
Communication, DEI-aligned leadership, cross-team coordination, conflict resolution

I’m constantly leveling up — right now I’m diving into:

• Real-time ML monitoring + MLOps
• Explainability + fairness in predictive systems
• Agent-agents for Mental Health Support
• Interactive dashboards that actually make sense, and can update real-time

I’m exploring full-time roles in:

• Data Science, Analytics / ML Engineering
• Applied Analytics & Insight Strategy
• Solutions Architect / Data Consulting
• Accessible Software/Application Development

I want to work on stuff that matters , with teams that think critically, build thoughtfully, and ship responsibly.

• I unwind with music and cultural dance
• I used to do competitive shooting (yeah, really)
• You’ll find me hiking and reflecting when I'm not buried in code
• I lead data workshops and advocate for DEI in tech

Reach out if you’re hiring, vibing with my work, or want to nerd out over new technology developments, pleade feel free to reach out via:

💼 LinkedIn • 🐙 GitHub • 📫 Email

Thanks for stopping by 💫
– Kirpa