Prisha Nag

Tempe, AZ · B.S. Computer Science, Data Science Minor · GPA: 4.1

Relevant Coursework: Algorithms, Operating Systems, Databases, Software Engineering, Computer Systems, Machine Learning, Natural Language Processing

Tempe, AZ

Tech: Python, FastAPI, Elasticsearch, Kibana, AWS, REST APIs, Pytest

• Designed and shipped production FastAPI REST APIs exposing Elasticsearch cluster health and Kibana SLO data through authenticated internal services, enabling engineering teams to programmatically monitor deployments.
• Engineered a backend service that combined paginated Kibana SLO responses with Elasticsearch aggregation queries to provide a unified real-time health view, implementing resilient error handling and scalable query logic.
• Developed secure tooling that automated Elastic Agent Builder MCP configuration generation, API credential provisioning, authentication, and version validation, reducing manual setup for internal users.
• Built an MCP server skill that let engineers query Elasticsearch index lifecycle management (ILM) policies and retention configurations through AI-powered workflows.
• Collaborated through multiple engineering code review cycles to improve API design, testing strategy, maintainability, and production readiness while authoring technical architecture documentation.

Santa Clara, CA

Tech: Python, FastAPI, Flask, Node.js, Express, SQL Server, React

• Promoted from Software Developer Intern to Junior Software Developer after consistently delivering production software supporting manufacturing operations and business reporting.
• Built and maintained production internal software supporting operational workflows, reporting pipelines, and exception handling across multiple business systems.
• Developed RESTful backend services using FastAPI, Flask, and Express, implementing validation, pagination, authentication, standardized error handling, and consistent JSON APIs.
• Optimized SQL Server queries and stored procedures over large operational datasets, reducing investigation query time by 35% while improving reporting accuracy.
• Improved production reliability through structured logging, debugging, and root-cause analysis, reducing recurring engineering support effort by approximately 25%.
• Automated reporting and data validation workflows using Python, improving data quality while reducing manual operational effort.

Undergraduate Researcher, CoRAL Lab — Arizona State University

FastAPI, React, PostgreSQL, OpenAI, LLMs

• Developing a full-stack AI-assisted team formation platform that evaluates behavioral traits through conversational LLMs and generates explainable team recommendations using optimization algorithms.
• Designing conversational AI evaluation pipelines emphasizing explainability, reproducibility, and behavioral reasoning; research submitted as an EMNLP 2026 Demo paper.

Python, FastAPI, React, XGBoost, Whisper, ONNX Runtime

• Built a privacy-preserving AI platform that detects phone scams in real time using on-device speech transcription, feature extraction, and XGBoost classification while ensuring user audio and transcripts never leave the device.
• Implemented federated learning with differential privacy for secure collaborative model updates; awarded 1st Place (AI Track) at the Anthropic Claude Builder Hackathon.

React, Python, SQL Server

• Developed a full-stack analytics dashboard with authentication, search, KPI visualization, and reporting tools to streamline operational insights for internal business users.

• Built an AI-powered web accessibility solution selected as the top project among 10 intern teams and presented to executive leadership, including GoDaddy's CEO.

• Awarded for SentinelEdge, an on-device phone scam detection system.

• Built embedding-based semantic search over case notes for CaseFlow, a nonprofit case-management platform (shared project).

• Mentor freshmen and sophomores in Python, data structures, technical interviewing, and internship preparation.

• Founded and organize an engineering-focused running club that meets twice weekly and trains members for endurance races, including the Mesa Marathon.

• Collaborate on robotics software and interdisciplinary engineering projects.

• Lead coach for VEX IQ teams; multiple teams qualified for state championships and national events.

• Completed the program after more than 10 years of classical piano training.

Languages: Python, Java, C++, JavaScript, SQL

Frameworks & Libraries: FastAPI, Flask, Express, React, REST APIs, OpenAPI, scikit-learn, ONNX Runtime

Cloud & Infrastructure: AWS, Docker, Amazon Kinesis Firehose, Elasticsearch, Kibana, Observability, SLIs/SLOs, MCP

AI / Machine Learning: OpenAI API, Claude API, Whisper, XGBoost, LLMs, Prompt Engineering

Databases: PostgreSQL, SQL Server, MySQL

Testing: Pytest, Unit Testing, Integration Testing, API Testing, Mocking

Developer Tools: Git, GitHub, Linux, CI/CD, Swagger/OpenAPI