ContactOpen to AI, Software & Backend Engineering · 2026–2028
Engineering AI systems
for real-world use.
UC San Diego student building LLM applications, backend systems, and data pipelines.
01 / Education
B.S. Mathematics & EconomicsMinors in Data Science & Finance
Honors
Expected
Graduation 2028
2024 — 2028Graduation 2028
02 / Selected work
Thinking, engineered.
Ideas, delivered.
Selected projects across agentic AI, LLM applications, mobile products, backend systems, and applied market intelligence.
Selected project
Customer Support Agent
Selected project
WhatsNews
Selected project
Market Analysis System
Customer Support System
- 01
Designed a stateful customer-support agent using LangChain, LangGraph and FastAPI, orchestrating LLM reasoning, RAG-based knowledge retrieval, and tool calling across CRM, order, and payment APIs.
- 02
Built a conditional agent workflow for intent classification, order lookup, policy verification, refund processing, and response generation with deterministic business rules for high-impact actions. Also implemented human-in-the-loop approval, persistent state, and post-action verification for safe execution and recovery.
- 03
Containerized and deployed the system as a scalable REST API using Docker and FastAPI on AWS with logging, health checks, error handling, and PostgreSQL-backed state persistence for production reliability.
WhatsNews
- 01
Designed and built an end-to-end AI news platform with React Native, FastAPI, PostgreSQL/Supabase, and the OpenAI API, automating multi-source RSS ingestion, LLM-powered processing and topic-specific report generation.
- 02
Developed an RSS ingestion and data-processing pipeline to collect multi-source news, clean article metadata, persist structured records, and synthesize relevant content into intelligence reports; created FastAPI REST APIs for topic management, report retrieval, generation triggers, and connection between the mobile client, database, and AI workflows.
- 03
Automated scheduled report generation and execution tracking for recurring content workflows, and launched the React Native application on Google Play as an end-to-end mobile AI product.
Market Analysis System
- 01
Built a Pandas/NumPy market-data pipeline integrating U.S. equity prices and 10-year Treasury yields to compute breadth and trend signals and run regressions measuring sector exposure to yield changes.
- 02
Integrated the OpenAI API to interpret indicators and regression outputs and generate structured summaries of market participation, trend conditions, and sector-level interest-rate risk.
03 / Experience & Research
Experience & ResearchResearch with a practical purpose.
My work spans data analysis and consumer research—from studying 39 years of program data to leading a published brand equity study. In both, the focus was the same: make the findings clear, practical, and useful.
DRAG / RELEASE
Worcester, MassachusettsProgram & Data
Program & Data
Support Assistant
Built a Python and SQL pipeline with Pandas and NumPy to clean and analyze longitudinal program data, then used segmentation and visualization to surface engagement patterns that informed program redesign.
New York, New YorkResearcher &
Researcher &
Three-Member Team Lead
Led Charlotte Hornets brand equity research, designing and analyzing a fan survey with Likert-scale questions, cross-tabulation, and demographic segmentation to assess awareness, loyalty, engagement, and purchase behavior.
04 / Skills & Capabilities
Skills in motion.
Built to work together.
A practical toolkit for building AI applications,backend systems, and data pipelines.
PythonJavaBashSQLLLMsTransformersRAGMachine LearningModel Evaluation
PostgreSQLSupabaseLangChainLangGraphLangfuseLangSmithHugging FaceFastAPIREST APIs
DockerKubernetesAWSGCPAzureGitGitHub
Hover any capability to reveal its color.
05 / About
Product-minded AI.
Built to ship.
Summary
UC San Diego Mathematics and Economics student with minors in Data Science and Finance (GPA: 4.0), focused on AI engineering and AI software engineering with experience building LLM applications, backend systems, and data pipelines.
Objective
Seeking AI Engineering, Software Engineering, or Backend Engineering internship roles for 2026–2028.