My
Stack
The tools here reflect what I use across coursework, projects, hackathons, and experiments in AI, backend, and software development.
Programming
5 toolsMy most-used language for AI, ML, data pipelines, and backend work.
Used heavily for DSA-oriented projects and efficient core logic.
Strong fundamentals in low-level programming and problem solving.
Comfortable with relational modeling, querying, and analytics.
Used for Next.js-based product interfaces and integrations.
Data & Backend
5 toolsUsed for forecast storage, serving, and analytics workflows.
Solid grounding in relational databases and query design.
Used for lightweight ML and backend API integration.
Frontend and product UI layer for dashboards and apps.
Comfortable packaging apps and services for deployment.
AI / ML
5 toolsClassical ML pipelines, preprocessing, and evaluation.
Used for admissions forecasting in HealthFlow AI.
Retrieval-grounded scoring and response generation.
Hands-on with neural-network workflows and experimentation.
Chunking, retrieval, similarity search, and rubric-aware processing.
Tools & Deployment
4 toolsDaily workflow for version control, collaboration, and project publishing.
Fast deployment path for Next.js applications.
Used for simple hosted services and backend deployment.
Quickly turn data and ML ideas into usable interfaces.
Currently Learning
Advanced System Design
To build stronger large-scale and production-ready architectures.
Computer Vision
To go deeper on real-time detection and tracking workflows.
Deep Learning
To strengthen model-building beyond applied library usage.
Competitive Programming
To keep sharpening speed, logic, and algorithmic thinking.
Want This Stack
On Your Team?
I'm looking for opportunities where I can apply these skills to meaningful software and AI problems.
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