I'm an AI researcher and frontend engineer with a Master's in Computer Engineering (Artificial Intelligence). My research centers on speech-based machine learning — clinical speech analysis, interpretable models, and signal/representation learning — and I build interactive, production-grade web applications alongside it.

• 🔬 Researching speech-based ML, interpretable models, and trustworthy/agentic AI
• 🧠 Author on peer-reviewed and under-review papers in AI for health and finance
• 💻 Building modern web apps with React, Next.js, and TypeScript
• 🌍 Based in Iran · open to research collaborations and frontend/AI projects
• 💼 4+ years of hands-on project and teaching experience

• MSc, Computer Engineering (Artificial Intelligence) — Azad University, Karaj · 2024–2026
• BSc, Computer Engineering — Azad University, Karaj · Graduated with distinction in 3 years

• Speech & Audio ML — clinical speech analysis, self-supervised embeddings, voice-quality biomarkers
• Interpretable / Explainable AI — building models whose decisions can be inspected and trusted
• Trustworthy & Agentic AI — verification layers, hallucination detection, safe abstention
• Applied ML — portfolio optimization, metaheuristics, anomaly detection, reinforcement learning

Languages

AI / ML

Frontend

Backend & Tools

AI & Machine Learning

• MedAgent-Verify — a multi-step medical QA agent with a verification layer for hallucination detection and safe abstention; a portfolio project on trustworthy agentic AI
• Voice-Quality AD Screening — speech-based screening pipeline using voice-quality biomarkers and self-supervised embeddings
• Temporal Energy Dynamics (TED) — speech arousal estimation from temporal energy descriptors, with a corrected, leakage-free evaluation
• CBAM Autoencoder Anomaly Detection — attention-guided convolutional autoencoder for one-class anomaly detection and localization
• LightDenoise-CNN — a lightweight PyTorch CNN for image denoising on low-resource devices
• Smart Parking RL Agent — a Deep Q-Network agent navigating a grid-based parking environment with dynamic obstacles
• Leaf Disease Hybrid XAI — hybrid model for plant-leaf disease detection with explainability

Frontend & Web

• AutoBid — car-auction web application (TypeScript)
• Prompt-to-Design — turn prompts into pixel-perfect UI themes with React + Tailwind, live preview, and JSON editing
• Food Ordering App (MERN) — full order flow with authentication and Stripe integration

• Frontend Instructor — Tehran Institute of Technology · mentoring students through real-world web projects
• AI Mentor — Azad University · guiding students on hands-on AI coursework and projects
• Frontend Developer Intern — Vimate · performance and UX improvements with React / Next.js

• Deepening my work in speech-based and interpretable ML
• Preparing research for publication and PhD applications
• Open to collaborating on AI research, machine learning, and React/frontend projects

• Email: farahanirashin@gmail.com · rashin.gholijanifarahani@iau.ir
• LinkedIn: rashin-gholijani-farahani