About Me

Who I Am
Computer Science graduate from UT Arlington, currently at JPMorgan Chase building cloud-native core banking platforms. My work spans distributed systems, microservices architecture, and AI-powered applications.
I enjoy solving complex engineering problems — designing reliable backends, optimizing performance, and integrating intelligent systems into real-world software. I care deeply about building systems that are efficient, resilient, and built to scale.
Download ResumeTechnical Skills
My expertise spans software development, artificial intelligence, data engineering, and cloud computing—crafted through hands-on projects and real-world experience.
Programming Languages
- C
- C++
- C#
- Java
- Python
- JavaScript
- HTML/CSS
- MySQL
Frameworks
- React.js
- Node.js
- Express.js
- React Native
- Next.js
- Tailwind CSS
Machine Learning & AI
- PyTorch
- TensorFlow
- scikit-learn
- Hugging Face
- OpenAI API
- Pinecone
Data Engineering
- Apache Airflow
- Spark
- Ray
- FAISS
- Data Processing
Cloud & Database
- AWS (EC2, S3, SageMaker)
- MongoDB Atlas
- MySQL
- PostgreSQL
- Firebase
- Vercel
- Railway
Developer Tools
- Git
- Docker
- Kubernetes
- FastAPI
- CI/CD
- RESTful APIs
My Projects
Here are some of the key projects I've worked on, showcasing my technical skills and problem-solving abilities across web, mobile, and AI/ML domains.

RouteSync helps college students find others going to the same hackathons, conferences, and career fairs — so they can split the hotel, share the ride, and make every trip actually possible.
Technologies: Next.js, TypeScript, Tailwind CSS

A-eye transforms CCTV into intelligent, life-saving systems using real-time AI to detect weapons, aggression, or threats and instantly alert administrators and first responders to prevent harm.
Technologies: Python, YOLOv8, OpenCV, FastAPI, React, Raspberry Pi, Auth0, Twilio, Cloudflare, Next.js, ElevenLabs, Gemini API

PayItForward digitizes traditional lending circles (tandas/ROSCAs) for immigrant and underbanked communities, adding automated payouts, credit score building, and a community marketplace.
Technologies: Vue.js, Node.js, Express.js, PostgreSQL, Auth0, Cloudflare, Terraform, Vultr, JavaScript, Tailwind CSS

DeadlineDAO is a decentralized accountability platform where users stake SOL cryptocurrency on their own deadlines. A 5-layer AI pipeline validates proof of completion — succeed and get paid, fail and lose your stake.
Technologies: Next.js, TypeScript, Solana, Supabase, Snowflake, Snowflake Cortex, Cloudflare, Tailwind CSS

AutoBoard is an AWS-native platform that automates financial vendor onboarding using AI-powered document extraction, automated KY3P compliance questionnaires, and multi-dimensional risk scoring — reducing onboarding timelines from weeks to hours.
Technologies: React, Vite, Tailwind CSS, Python, AWS Lambda, AWS Textract, AWS API Gateway, Amazon RDS, Gemini, AWS VPC

developed a complete data-to-insight pipeline for Homelessness in California dataset that integrated fragmented public datasets, identified vulnerable populations, and revealed county-level disparities in healthcare access and system performance.
Technologies: Python, Pandas, Matplotlib, Seaborn, Scikit-learn, XGBoost

Stock Recording System is a android app that allows users to record their stock and get insights about the stock.
Technologies: Android, Kotlin, SQLite
Get In Touch
Have a question or want to collaborate on a project? Feel free to reach out through the form below or via my contact information.





