Abhinav Ranish

Software Engineer / Cybersecurity / AI

Abhinav Ranish

Computer Science student at Arizona State University with hands-on software engineering, cybersecurity, and AI internship experience. I build production-minded tools across full-stack apps, automation, security workflows, and applied machine learning.

4+

Internships

7

Merged Rust PRs

10+

Featured builds

6x

ASU Dean's List

Selected proof

Projects with clear business and engineering signal.

View all projects

Impact: High / Complexity: High

CVfy

An AI-powered portfolio generator that transforms resume uploads into fully functional personal websites. Built with Next.js (App Router), TypeScript, Prisma, and PostgreSQL. Features OAuth authentication, AI resume parsing via Groq/OpenRouter into strict JSON schema, 5 built-in themes, hero image uploads, slug-based publishing, and editable onboarding flow.

Impact: High / Complexity: High

IntelliTab

An AI-powered Chrome extension that intelligently organizes tabs into native Chromium tab groups, learns preferences over time, and manages workspaces. Features an adaptive learning system (passive snapshots, correction-based feedback, explicit preferences), an editable SOUL instruction set that guides AI grouping logic, workspace save/restore, auto-recovery across restarts, a rules engine for deterministic overrides, and multi-provider AI support (Groq, OpenAI, Gemini, Claude, OpenRouter).

Impact: High / Complexity: High

Stock AI Analyzer

AI-powered stock analysis tool leveraging multiple data sources such as Google Trends, News API, and yfinance. It aggregates real-time market signals, sentiment, and price data to deliver actionable insights through a sleek frontend powered by AI.

Impact: High / Complexity: High

WiSpec

Commodity dual-band Wi-Fi spectroscopy research for material classification and structural reconnaissance. Uses Wi-Fi signal reflections (RSSI and CSI) to characterize interior layouts, wall composition, and structural elements. Applications include building reconnaissance, search and rescue structural assessment, and smart building automation. Independent research by a Computer Science student at ASU.

Experience

SWE Intern (Security + Frontend)

Jun 2025 - Aug 2025

Ampcus Inc

Built and presented an AI-powered Stock Analyzer using RAG architecture, sentiment analysis, and financial indicators—translating LLM outputs into actionable business insights for company leadership.

Technology Consultant (Part-time)

Nov 2024 - Present

Enterprise Technology, Arizona State University

Provided real-time technical support for faculty across AV, networking, and classroom systems; managed front-desk triage via Slack/phone/in-person and performed end-of-day readiness checks.

Information Technology Intern

May 2024 - Jul 2024

Qatar Financial Centre Regulatory Authority (QFCRA)

Provisioned 150+ employee endpoints with custom SOE Windows images; created network topology diagrams for leadership presentations during the organization's on-prem to Azure migration.

IT Intern

Jul 2023 - Aug 2023

Mannai Corporation

Contributed to the development of an ASP.NET website.

Technical range

Languages

TypeScriptPythonJavaC++RustSQL

Product

ReactNext.jsTailwind CSSPrismaPostgreSQL

Security + AI

Burp SuiteNmapOllamaRAGInsightFace

Contact

For roles, internships, collaborations, or technical conversations.