Software engineer · AI systems · Palo Alto Networks alum

Building impactful software at scale as an incoming engineer at Apple.

I'm Nahom Kidane, an incoming Software Engineer at Apple and Palo Alto Networks alum. I build AI powered tools, precise interfaces, and systems that perform where it counts. I bring strong ownership, clear communication, and a 3.85 GPA foundation in CS and Mathematics from MSU Mankato.

Starting at Apple · Aug 2026 Palo Alto Networks alum Front end + AI systems
Portrait of Nahom Kidane

Incoming @ Apple

Full time Software Engineer starting August 2026.

Top 10 Researcher

Recognized at Palo Alto Networks HQ in San Jose for research excellence.

Selected impact

Numbers that make the engineering story land.

From AI systems at Palo Alto Networks to campus scale IT support, here are the outcomes that matter most.

AI performance 20 sec

AI Content Release Bot reduced PCAP regression query time from 5 minutes to 20 seconds at Palo Alto Networks.

Analyst efficiency

BigQuery dashboards cut triage time by 30% and boosted analyst efficiency 6× on the security team.

Recognition Top 10

Ranked among the Top 10 Best Research Proposers and presented at Palo Alto Networks HQ in San Jose.

Selected work

Product focused projects with practical engineering underneath.

Project Alchemy dashboard showing an AI based interface

Case study 01

Alchemi

Educational AI platform built at a Microsoft Hackathon. A serverless ETL pipeline extracts learning objectives from multi hundred page syllabi to enable personalized AI tutoring experiences powered by Azure.

Stack MongoDB, Next.js, Azure
Outcome Personalized tutoring from any syllabus
Live face recognition interface with computer vision feedback

Case study 02

HearForYou

AI mental health peer support app using Flask, TensorFlow for sentiment analysis, and the Gemini API. Earned finalist honors at Big Ideas Minnesota. Conversations stored in Firestore with an empathetic AI response layer.

Stack Flask, TensorFlow, Gemini API
Recognition Finalist at Big Ideas Minnesota

Core strengths

Systems thinking, product polish, and implementation detail.

Front end systems

I build interfaces with strong hierarchy, careful spacing, and a focus on interactions that feel deliberate rather than decorative.

React TypeScript Next.js Tailwind CSS

AI and data work

My internship and research work centers on practical AI, from LLM pipelines with RAG to computer vision and production BigQuery dashboards.

Python Vertex AI TensorFlow BigQuery

Engineering taste

I care about the invisible parts too: Docker pipelines, GCP infrastructure, clean APIs, and shipping code that other people can reason about quickly.

Docker GCP Azure Node.js Flask MySQL

Timeline

A concise path through the work that shaped my engineering style.

Software Engineer Intern

Palo Alto Networks · Santa Clara, CA

May 2025 to Aug 2025

Built an AI powered Content Release Assistant using Python, Vertex AI, and BigQuery, slashing query time from 5 minutes to 20 seconds and boosting analyst efficiency 6×.

Research Assistant

Palo Alto Networks · Remote

Aug 2024 to Dec 2025

Researched adversarial tactics, threat intelligence, and SOAR. Ranked Top 10 Best Research Proposers, and presented findings at Palo Alto Networks HQ in San Jose.

Senior IT Solutions Consultant

IT Solutions Center, MSU

Aug 2022 to Present

Maintained 98% customer satisfaction providing campus wide technical support. Built a diagnostics dashboard cutting support ticket response time by 30%.

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