Incoming iXp Intern, Adoption, Insights & Services — SAP
Oct 2026 – Apr 2027Joining SAP's Adoption, Insights & Services organization in Tempe, AZ this fall.
SOFTWARE ENGINEER · BACKEND, DATA & APPLIED AI
Prisha Nag
I'm a Computer Science & Data Science student at Arizona State University who recently shipped production APIs on GoDaddy's Observability Platform, led a team to Grand Champion at GoDaddy's intern hackathon, and helped build an on-device AI system, SentinelEdge, that took 1st place at a Claude hackathon and has been accepted to EMNLP 2026.
I care about the same thing in all three: building software that works in the real world, making thoughtful tradeoffs, and being able to explain the decisions behind them.
Now: Undergraduate Researcher, CoRAL Lab · Incoming iXp Intern @ SAP (Oct 2026)
PythonJavaC++
FastAPIReactREST APIs
AWSDockerElasticsearch
KibanaMCPOpenAI API
Claude APIPostgreSQL
🏆 GC
Grand Champion — GoDaddy Hackathon
🥇 1st
1st Place — Claude Hackathon
EMNLP
2026 — System Demo Accepted
AWS
Certified Cloud Practitioner
About
A little about me
I've always liked figuring out how things work and then making them easier for someone else to understand. I've done that in pretty different ways, from choreographing dance productions and coaching middle-school robotics teams to, more recently, building production APIs at GoDaddy. Different settings, but I think I enjoy them for the same reason: taking something complicated and making it work.
Engineering
I’m drawn to backend and infrastructure work, building APIs, working with data, and figuring out how systems behave in production. At GoDaddy, that meant working with Elasticsearch and Kibana to build observability tooling used by engineering teams. I'm continuing that this fall as an incoming iXp Intern with SAP's Adoption, Insights & Services organization. I like keeping things simple: I’d rather ship something reliable and easy to understand than add complexity just because I can.
Research
My research focuses on applied AI and the human problems behind it. At ASU, I study how behavioral signals and LLMs can support better team formation, while my work on SentinelEdge explores on-device AI — SentinelEdge's approach has been accepted to the EMNLP 2026 System Demonstrations Track, and I'll be presenting it in Budapest, Hungary. Both projects have shaped how I think about building AI that is useful, explainable, and practical in the real world.
Leadership & Teaching
Years of coaching VEX Robotics taught me how to lead technical teams and communicate clearly. Since then, I've mentored women in CS mentees, worked across research teams, and led a hackathon team to 1st place at GoDaddy. I like bringing people together around a problem and figuring out how to get from an idea to something that works.
Outside Engineering
Outside of engineering, I’m usually running, weightlifting, training for a marathon, playing piano, or finding a new hiking spot. I even ended up building my own nutrition app after getting tired of juggling different apps just to keep up with my training and fitness goals. I grew up doing Bharatanatyam and earned my Level 10 Certificate of Merit in piano, so music and movement have always been a big part of my life. I’m also an avid reader, love photography, and enjoy cooking.
How I Like to Work
Keep it simple
Ship the boring, correct solution before reaching for a clever one.
Understand the why
If I can't explain a decision to a non-engineer, I haven't finished thinking it through.
Build for the next person
Tests and docs are for whoever touches this code next.
Experience
Where I've worked
Software Engineering Intern — GoDaddy, Observability Platform
Summer 2026
PythonFastAPIElasticsearch
KibanaREST APIsMCP
- Built and shipped production REST API endpoints (Python/FastAPI) consumed by other engineering teams on the observability stack.
- Developed internal developer tooling and an MCP integration extending tool-based access to platform data.
- Authored architecture documentation and covered new endpoints with unit and integration tests as part of the team's release process.
Undergraduate Researcher — CoRAL Lab, Arizona State University
OngoingNLPApplied AIResearch
Investigating behavioral signals for automated team-formation algorithms; findings are informing a paper in progress.
See the research page →PrintPapa — promoted twice in 18 months
May 2023 — PresentOperations Intern → Software Developer Intern → Junior Software Developer
Junior Software Developer (Backend/Data + Full Stack)
May 2024 – Present
PythonFastAPIFlaskNode.jsSQL ServerReactIIS
- Own internal dashboards and services end-to-end, from requirements to deployment.
- Built Python (FastAPI/Flask) and Node.js (Express) APIs with validation, pagination, and consistent response schemas.
- Designed and optimized SQL Server queries and stored procedures over large operational datasets for KPI reporting.
- Added structured logging and standardized error handling; troubleshot production issues in IIS-hosted environments.
Software Developer Intern
May 2023 – Aug 2023
- Automated data processing and QA with Python scripts, reducing manual spreadsheet checks.
- Debugged pipeline/deployment issues end-to-end, validated fixes in staging, documented resolutions.
Operations Intern
Summer 2023
- Operated production folding/cutting equipment for high-volume print jobs under tight deadlines.
- Recognized for initiative and reliability — the performance that led to the transition into software.
Robotics Coach — Dublin Robotics
Aug 2020 – Jun 2023CoachingPythonCurriculum Development
- Coached VEX IQ teams through build, test, and competition cycles; teams qualified for national-level events.
- Led beginner Python/HTML/Java workshops for students ages 8–12; rose to lead coach, mentoring teams to state championships.
Projects & Hackathons
Things I’ve built
🏆 Grand ChampionGoDaddy Summer Hackathon
GoA11y
An AI-powered accessibility platform, built with my team and presented to GoDaddy engineering leadership and executive leadership, including the CEO.
🥇 1st PlaceEMNLP 2026 System DemoClaude Builder Club Hackathon @ ASU
SentinelEdge
Privacy-first, on-device scam detection for live phone calls — a compressed small language model, zero data leaving the device. Now accepted to EMNLP 2026's System Demonstrations Track.
PrintPapa AI-Powered KPI Dashboard
Real-time leadership visibility into performance metrics, with an ML layer for sales forecasting on top.
Behavioral Team Formation
CoRAL Lab research on behavioral signals for automated team-formation algorithms.
AI Fitness & Nutrition Tracker
SQL-backed calorie/macro tracking with a computer-vision meal estimator, built because existing apps made this harder than it needed to be.
More projects
Data Quality Automation Toolkit
FastAPI + Postgres + React platform that cleans, matches, and anomaly-checks messy datasets with Great Expectations.
PhishShield
Chrome extension using regex + the Google Safe Browsing API to flag phishing URLs in real time.
SQL Asset Categorization System
Schema design + automation scripts turning manual asset tracking at PrintPapa into real-time, queryable reporting.
VEX Robotics 5327D Competition Robot
Pneumatic-lift tank-drive robot built for the 2022 VEX Worlds Change-Up Championship in Dallas.