I am a CS grad student at ASU (4.0 GPA, graduating May 2026) who's been building things across AI, XR, and cloud for the past few years. I like working on problems that are a bit messy — streaming pipelines, LLM agents, VR experiences, full-stack apps. I care about shipping things that actually work.

Currently interning at Mesh Labs @ ASU as an XR Developer, building networking systems for Meta Quest headsets. Before that I have done stints in data engineering, healthcare APIs, and web dev.

Languages

Web & Backend

AI / ML

Cloud & DevOps

XR

Kafka · Python · Ollama · PostgreSQL (pgvector) · LLM Agents

Built an event-driven pipeline that streams live stock ticks and news headlines, detects price-news correlations in real time (≥2% deviation triggers), and uses a local LLM agent to generate analyst-grade market summaries. Everything gets stored with 768-dim vector embeddings for semantic search.

LangChain · Groq · ChromaDB · Full-stack

Full-stack tool that scrapes live job postings, flags visa/citizenship constraints, and does bidirectional resume-to-job skill gap matching. Cut token usage by 50% through prompt restructuring without losing output quality.

Airflow · AWS S3 · Glue · Redshift

End-to-end weather forecast ETL that extracts 5-day forecast data at 3-hour intervals, transforms it with AWS Glue, and loads it into Redshift for SQL-based analysis. 99% DAG success rate, 40% improvement in KPI tracking.

• Building Sequoia Automation, an edge to cloud building automation platform that connects OPC UA devices, streams live telemetry, and supports dashboards for equipment monitoring.
• Always tinkering with LLM agents and RAG systems on the side

I am actively looking for new grad / entry-level roles in software engineering, AI/ML, or full-stack development. If you're building something interesting, I'd love to hear about it.