I’m a Computer Science graduate with around one year of internship experience in backend engineering, applied AI, and data engineering. I like building useful systems end to end, especially when the work combines clean APIs, data pipelines, and practical AI.
I’ve worked on projects involving Python, FastAPI, PostgreSQL, Databricks, PySpark, RAG pipelines, LangChain, LangGraph, and multi-agent workflows. I enjoy understanding how systems work under the hood and improving them step by step instead of just making something that looks good in a demo.
Outside of internship and project work, I’ve solved 750+ LeetCode problems, completed industry certifications, contributed to research, and explored open source through Google Summer of Code.
- Backend systems and scalable APIs
- Applied AI and agentic workflows
- Data engineering and analytics
- System design and low-level design
- Research-driven engineering
- Open source and learning in public
- FastAPI
- Databricks
- PySpark
- LangChain
- LangGraph
- RAG pipelines
- LLM workflows
- AWS
- Azure AI Fundamentals
- OpenAI / Claude tooling
Built a Retrieval-Augmented Generation system for document-based question answering using FastAPI, LangChain, FAISS, and Mistral 7B.
- Improved retrieval quality through better chunking and prompt design
- Focused on grounded answers, citation reliability, and latency tradeoffs
- Worked on a real client-facing use case
Built a modular backend API for a social media application.
- JWT authentication
- CRUD operations
- Voting logic
- API testing with Postman
Built an ETL pipeline for Apple product sales analysis using Spark and PySpark.
- Worked with CSV, Parquet, and Delta tables
- Focused on structured data processing and transformation
Built a full-stack application for restaurant operations.
- Menu and order management
- Table reservations
- Dashboard-style workflow support
- Co-authored a research paper on low-resource language processing that was accepted for publication
- Contributed to a Springer publication
- Worked on AI and computer vision research, including YOLO-based projects
- Explored open source through Google Summer of Code and contributed around PyBaMM-related work
- 750+ LeetCode problems solved
- LeetCode Knight, top 5%
- Strong foundation in DSA, OOP, DBMS, System Design, and Low-Level Design
- Industry certifications in AWS, Python, Machine Learning, Data Analytics, and Azure AI
- AWS Certified Cloud Practitioner
- Microsoft Azure AI Fundamentals
- Google Advanced Data Analytics Specialization
- IBM AI Developer
- Meta Back-End Developer
- Machine Learning — University of Washington
- PCAP — Certified Associate Python Programmer
- GitHub: https://github.com/JC230903
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