Abhinav Ranish
Builder of Data-Driven Products & Scalable Platforms
Summary
Building software products across full-stack development, analytics, and automation. Includes developing scalable platforms, AI-enabled tools, and security-aware systems with a strong focus on real-world execution. Product-driven engineering, and using modern cloud and data technologies to create impactful, business-oriented solutions.
Education
B.S., Computer Science (Cyber)
Experience
Ampcus Inc
- Built 10+ reusable React components and integrated APIs, enhancing UX across client-facing modules.
- Implemented advanced filtering, dynamic dropdowns, and data table enhancements (TanStack, ShadCN, Tailwind), streamlining workflows.
- Designed, developed, and presented an AI-powered Stock Analyzer (Vibe Coded) using real-time data pipelines and ML insights, delivered directly to the board.
- Performed web application security testing using Burp Suite to identify and analyze common vulnerabilities.
TRANZYD
- Auditioned and secured role by building a stock sentiment analysis app leveraging LLMs and financial news pipelines
- Contributed to an AI contract automation platform, implementing clause extraction, semantic diffing, and contract generation with Python, Streamlit, FAISS, and Ollama.
- Integrated SQLite + FAISS to match clauses via embeddings, reducing manual review time by ~40%
Qatar Financial Regulatory Authority
- Migrated 150+ employees to secure modern systems, coordinating workstation deployments.
- Mapped IT infrastructure and produced diagrams to support the migration from on-premises to Azure.
Mannai Corporation
- Assisted in configuring Cisco VLANs to implement network segmentation and isolation.
- Contributed to an ASP.NET web project while learning project management fundamentals.
- Shadowed engineers to gain exposure to enterprise IT workflows.
Projects
Developed a full-stack torrent streaming app with React/Node.js enabling real-time peer to peer playback
- Built progressive peer-based streaming, Prisma/PostgreSQL search, and an admin dashboard for user management.
Engineered an AI-powered stock analysis platform integrating LLM summaries with custom indicators
- Designed and applied technical models (RSI, MACD, ADX, Bollinger squeeze, EMA crossovers).
- Collaborated across blueprints (fundamentals, news, insider trades) and achieved interactive charting + sentiment tracking.
Created an experimental AI-assisted automation tool for Python project generation and repair
- Implemented smart retry with patch diffing to auto-fix logic errors and regenerate dependencies for rapid prototyping.
Built an automation tool to monitor ASU course availability and auto-enroll students in real-time
- Automated ASU class enrollment with periodic seat polling, email alerts, saving manual class enrolling time by over 99.9%
Technical Skills
Skills: Python, C, C++, JavaScript, Java, Rust, Bash, React, Next.js, Tailwind, HTML/CSS, Express.js, PostgreSQL, Docker, Nginx, AWS, Heroku, Cloudflare, Git/GitHub, Windows, Mac, Debian
