Full Stack Software Engineer · AI / LLM Engineer · Problem Solver
Full Stack Software Engineer with experience building production-grade web and AI-powered applications. I specialize in React, Next.js, TypeScript, Node.js, and cloud infrastructure, with hands-on experience integrating LLMs, agentic systems, and AI APIs into real-world products.
I enjoy shipping 0→1 products, optimizing performance at scale, and designing clean, scalable architectures that move fast without breaking.
- Leading end-to-end full-stack development for a 0→1 AI-powered SaaS product, owning architecture, deployment, and CI/CD workflows.
- Built a responsive React frontend with a scalable Node.js backend and Supabase real-time database.
- Integrated OpenAI APIs with guardrails, reducing API costs by 25%, and implemented AI image-generation pipelines for reliable in-app image creation.
- Instrumented Google Analytics & GTM, analyzing 75%+ of events to improve engagement and feature adoption.
- Built an agentic AI-driven B2B intelligence and procurement platform, reducing vendor research time by 40%.
- Designed autonomous agents for crawling, scraping, validating, and summarizing supplier data.
- Implemented using React, TypeScript, Python, deployed on AWS with Docker, and integrated Gemini API for LLM-based reasoning.
- Orchestrated agent workflows and CI/CD pipelines with testing under Agile practices.
- Developed full-stack web apps and internal tools using Next.js, TypeScript, Tailwind CSS.
- Improved UI load times by 30% and boosted real-time data sync efficiency by 25% using Supabase.
- Implemented Dockerized CI/CD pipelines on AWS, achieving 40% faster deployments and 30% improved reliability.
- Built a Job Portal Management System, optimizing MySQL queries and modular UI components.
- Improved accessibility for 95% of users and reduced bounce rates by 20%.
- Supported Java (Spring Boot) APIs and maintained 99% uptime through proactive debugging.
- Built a product search system using LangGraph state machines with intent-based routing.
- Implemented AI-driven web scraping pipelines using Gemini, DuckDuckGo/Serper APIs, and retry strategies achieving 95%+ query completion.
- Designed a financial news research platform using LangChain, OpenAI embeddings, and FAISS.
- Built an interactive Streamlit app for semantic search and contextual Q&A.
- Developed a responsive Gemini-like web app using React, HTML, CSS, JavaScript.
- Integrated REST APIs and async workflows for real-time responses.
- Built a CNN with 94% accuracy using TensorFlow, improving feature extraction and reducing overfitting by 15%.
- Automated early detection workflows, cutting diagnosis time by 40%.
- Built a decentralized tax payment system processing 500+ transactions with full transparency.
- Reduced fraud by 95% using SHA-256 hashing and immutable records.
Frontend: React, Next.js, TypeScript, JavaScript, Tailwind CSS, Material UI Backend: Node.js, Python, Flask, Java (Spring Boot), REST APIs AI / ML: LLMs, LangChain, LangGraph, OpenAI API, Gemini API, TensorFlow, scikit-learn Databases: Supabase, MongoDB, MySQL, Vector Databases, FAISS Cloud & DevOps: AWS, Docker, CI/CD, Linux, Git Tools: VS Code, Jupyter, CursorAI, Selenium, Jira
M.S. in Computer Science — University of Central Missouri (Aug 2023 – May 2025) GPA: 3.55 / 4.00
- Oracle Cloud Infrastructure 2024 Generative AI Professional
- Introduction to Large Language Models — Google Cloud
- Accenture North America Data Science & Visualization (Forage)
- Building production-ready AI & LLM-powered systems
- Designing agentic workflows and scalable ML pipelines
- Advanced frontend patterns with Next.js & TypeScript
- Open to collaborations on full-stack, AI/ML, and GenAI products
Made with ⚙️ & ☕ — keep building.