Skills & Technologies

My go-to language for data science, machine learning, and backend development. Specialized in data processing, conversational AI systems, and environmental data pipelines with extensive experience across research, industry, and academic settings.

My preferred language for modern web development, chosen for its type safety and superior development experience. This entire portfolio showcases TypeScript integration with Next.js, React, and modern development workflows.

Used for performance-critical applications and system programming. Applied it in client-server systems where real-time processing was essential.

Foundation language for my web development journey, from computer science fundamentals to cross-platform browser development. Strong expertise in vanilla JavaScript, browser APIs, and solving complex compatibility challenges.

Foundation web technologies with emphasis on modern layout systems, animations, and dynamic theming. Specialized in CSS Grid layouts, utility-first styling with Tailwind CSS, and creating engaging user experiences through smooth animations and transitions.

My pragmatic framework of choice for building modern, interactive user interfaces. Expert in practical React development with strong focus on TypeScript integration, Next.js SSR, and advanced component styling systems.

My full-stack framework of choice for modern web development. Expert in App Router, SSG/SSR implementation, and seamless user experience design. This entire portfolio demonstrates advanced Next.js architecture with persistent backgrounds and smooth animations.

Proficient in building scalable backend services with Node.js. I have created APIs that handle thousands of concurrent connections.

My preferred CSS framework for rapid UI development. I appreciate its utility-first approach and how it speeds up the design process.

Extensive experience building and training neural networks for computer vision and autonomous systems. I have implemented everything from CNNs to reinforcement learning models.

Deep learning framework used for research and production. Applied for Physics-Informed Neural Networks (PINNs) and computer vision tasks in autonomous vehicle projects.

Built cross-platform desktop applications with Electron. I understand the challenges of desktop app development and performance optimization.

Robust web framework for Node.js applications. Used for building RESTful APIs and handling server-side logic efficiently.

Python web framework used in research work at Texas A&M University & Soft Interaction Lab. Built conversational AI tools for 500+ SANE nurses and backend services for medical training applications.

Modern Python web framework for building APIs with Uvicorn server deployment. Used for creating high-performance LLM pipelines processing 500+ PDFs weekly and startup evaluation systems.

Python SQL toolkit and ORM used for database interactions, data modeling, and handling large-scale transaction processing.

Web automation framework used for data extraction and testing. Applied for environmental data processing and automated data collection workflows.

My database of choice for complex applications. Extensive experience with relational database design, foreign key relationships, and business logic implementation for commercial POS systems.

Modern deployment platform that I'm eager to master for Next.js applications. My experience with GitHub Pages deployment has inspired me to explore Vercel's advanced features for future projects.

Backend-as-a-service platform with excellent database organization and clarity. Used for user data storage and session management, with interest in exploring advanced real-time capabilities.

Google's cloud platform for authentication and backend services. Implemented role-based access control for research applications, with strong interest in exploring Firebase's comprehensive ecosystem.

Containerization platform for consistent development environments across multiple devices and operating systems. Expert in Dockerfile creation for dependency management and team collaboration in research settings.

Modern build tool that provides excellent dev server experience and fast builds. Used for project organization and live development across multiple applications, with interest in exploring advanced features.

Identity and access management platform. Implemented secure authentication systems with social login and role-based access control.

Essential library for data manipulation and analysis in Python. Used for data processing, ETL pipelines, and financial modeling.

Fundamental package for scientific computing with Python. Used for Physics-Informed Neural Networks and numerical computations in ML and data analysis.

Primary plotting library for creating static, animated, and interactive visualizations in Python. Used for data visualization and analysis reporting.

Go-to library for machine learning in Python. Used for implementing various ML algorithms and model evaluation.

Computer vision library used for image processing and analysis in autonomous vehicle projects.

Business intelligence tool for creating interactive data visualizations and dashboards. Used at INTERA Incorporated across 1 internship for environmental impact tracking and client reporting across 5 countries.

Microsoft's business analytics tool for creating reports and dashboards from various data sources. Used at Pivotal Research Inc. across 1 internship for large-scale data analysis and business intelligence reporting.

Interactive plotting library for creating dynamic, web-based visualizations. Perfect for financial data analysis.

Python framework for building analytical web applications. Used for creating interactive financial modeling dashboards.

Beautiful & consistent icon toolkit. My preferred icon library for React applications.

Network protocol suite for internet communications. Implemented in client-server systems for reliable data transmission.

Concurrent programming technique for improving application performance through parallel execution.

Unix-like operating system. Extensive experience with command-line tools, system administration, and development.

Network programming using sockets for inter-process communication over networks.

Advanced spreadsheet application for data analysis, financial modeling, and business intelligence. Used for data processing and analysis.

Specialized in crafting effective prompts for AI systems. Featured work with educational GPT bots.

Large Language Model APIs including OpenAI, Hume.ai, and Anthropic AI SDK. Used for conversational AI development and LLM pipeline creation.

PDF creation, manipulation, and processing using PyPDF2 and Ghostscript. Applied for automated document processing in startup evaluation pipelines.

Microsoft Visual Basic for Applications used for creating customized Excel applications tailored to specific employee needs. Applied at INTERA for automated data processing workflows across 1 internship.

Open-source embedding database for building RAG applications. Experienced in implementing efficient vector storage and retrieval systems for AI applications.

Python testing framework used for comprehensive test coverage in Python applications. Experienced in writing unit tests, fixtures, and integration tests.

Expertise in generating and managing text embeddings for RAG systems and other AI applications. Experienced with various embedding models and optimization techniques.

Experience in designing and implementing command-line tools with focus on user experience and functionality. Proficient in creating intuitive CLI applications with proper error handling and documentation.

Advanced large language model from Google, integrated for AI-powered responses in RAG systems. Experienced in prompt engineering and API integration for intelligent content generation and analysis.

Fast BPE tokenizer for OpenAI models, used for accurate token counting and cost estimation in AI applications. Experienced in implementing token counting for cost optimization.

Official API for integrating with Notion workspace data. Experienced in fetching, processing, and managing Notion content for AI applications and data pipelines.

Amazon Web Services cloud platform for building scalable, secure infrastructure. Experienced in deploying data pipelines, serverless functions, and storage solutions.

Amazon Simple Storage Service for scalable object storage. Experienced in data lake architectures and high-volume data ingestion pipelines.

AWS serverless compute service for event-driven processing. Experienced in building scalable, cost-effective data processing pipelines.

In-memory data store for caching and real-time data processing. Experienced in implementing high-performance caching layers for analytics platforms.

AI-powered web scraping framework using LLMs for intelligent data extraction. Experienced in building ethical, automated data collection pipelines.

NoSQL document database for flexible, scalable data storage. Experienced in polyglot persistence architectures and high-volume data ingestion.

Distributed search and analytics engine for real-time data exploration. Experienced in building fast search interfaces and trend analysis dashboards.

Data visualization and exploration tool for Elasticsearch. Experienced in building interactive dashboards for security analytics and trend monitoring.

Extremely fast Python linter and formatter written in Rust. Experienced in maintaining code quality in large Python projects.

CI/CD platform for automating software workflows. Experienced in building automated testing, linting, and deployment pipelines.

Modern passwordless authentication standard using public-key cryptography. Experienced in implementing biometric authentication systems that eliminate password-based attack vectors.

Open-source Firebase alternative with Postgres backend. Experienced in building pluggable storage architectures with automatic schema generation and lifecycle management.

Fast JavaScript runtime and package manager. Experienced in using Bun for high-performance web applications and development tooling.

Unified API gateway for accessing multiple LLM providers. Experienced in building multi-model evaluation systems and LLM benchmarking platforms.

TypeScript-first schema validation library. Experienced in building type-safe APIs and structured LLM output parsing.