Abhinav Ranish

Abhinav Ranish

Coder • Cyber Risk • AI Developer

Welcome to the playground! I build crazy fast, highly secure, and ridiculously intelligent systems. Click around, explore some the projects, and let's make some magic. ✨

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Technical Arsenal

Frontend & Languages

ReactNext.jsTypeScriptPythonJavaC++CRustHTML5JavaScriptTailwind CSSAngular

Backend & Cloud

Node.jsDockerAWSAzureGCPPostgreSQLMongoDBSupabaseHeroku

Security & Tools

GitLinuxBashBurp SuiteMetasploitNmapWiresharkSplunkJira

AI / ML

PyTorchOllamaInsightFace

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.
  • •Shipped 10+ React components across 4 client modules; completed 150+ Burp Suite security labs and executed a live penetration test with authored findings report.
  • •Collaborated with fellow interns on simulations to improve practical offensive and defensive security skills, while advancing skills through Hack The Box and the OWASP Web Security Guide.
  • •Designed and implemented advanced UI features: dynamic dropdowns, enhanced datatables, and filtering using ShadCN, TanStack, and React, integrating REST APIs for improved UX.
  • •Managed both roles in parallel, demonstrating initiative, versatility, and strong time management.

AI / SWE Intern

Dec 2024 - May 2025

TRANZYD

  • •Architected end-to-end AI contract intelligence platform processing ~25 legal contracts: built automated clause extraction, semantic comparison (FAISS + sentence-transformers), and draft generation—cutting manual review by ~40%.
  • •Joined to support AI contract automation; quickly took on core feature development responsibilities.
  • •Integrated backend logic using Python, SQLite, and python-docx for contract storage and document generation.
  • •Designed clause-matching workflows for OLD/NEW comparisons with checkbox-driven contract generation UI.
  • •Prototyped an AI stock analyzer using RAG pipelines, FAISS, and sentiment models to explore LLM-based tools.

Featured Projects

Readflow

A modern, dark-mode-first Markdown editor built for speed, aesthetics, and instant sharing. Features a split-pane live preview with syntax highlighting, one-click generation of shareable read-only links, automatic local draft persistence, and Cloudflare D1 production-ready storage support.

Next.js 15Cloudflare D1@uiw/react-codemirrorCSS ModulesJavaScript

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).

TypeScriptReact 18Tailwind CSSViteChrome Extension Manifest V3Multi-Provider AI

Portfolio Maker

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.

Next.jsTypeScriptPrismaPostgreSQLAuth.jsTailwindCSSZodGroq APIOpenRouter API

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.

PythonScapyPicoScenes802.11 Frame ParsingMachine LearningSignal Processing

Auto Class Enroller

Class Scraper and Automated student enrollment tool built with Selenium and Python. It continuously polls course availability, automatically fills in enrollment forms, and registers you as soon as a seat opens. Designed to save students hours of manual checking and ensure faster access to high-demand classes.

PythonSeleniumSmtplibASUAutomation

EatBetter

An iOS app that helps users eat healthier through AI-powered food photo analysis, daily reminders, and streak-based habit building. Snap a photo of any meal and get instant calorie and macro estimates from Claude Vision API with zero manual data entry. Features supportive coaching tone, cooking method and portion size context, and habit tracking over time.

SwiftUISwiftFirebaseClaude Vision APIRevenueCatCloud Functions

Let's build something great.

Always open for new opportunities, challenging projects, and collaborative ventures. Reach out, and let's make an impact.

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