Computer Science graduate with a strong foundation in artificial intelligence, specializing in large language models, generative AI, and natural language processing. I am particularly interested in XR, 3D reconstruction, and neural rendering, and how immersive technologies can be used for human-centered applications. With hands-on experience developing adaptive retrieval-augmented generation (RAG) pipelines and fine-tuning transformer-based models, I focus on advancing AI technologies to create more efficient and scalable systems. My research interests span machine learning, neurotechnology, and human-centered AI applications, with a particular emphasis on developing innovative solutions for real-world challenges. I'm passionate about exploring the intersection of AI, cognitive science, and interactive technologies to push the boundaries of what's possible in human-computer interaction.
Featured Projects
Real-Time AR Face Mask Try-On
Augmented reality system using OpenCV and TensorFlow for real-time face tracking and realistic virtual mask overlay. Demonstrates expertise in computer vision and real-time rendering.
GestureShape-Matcher
Interactive computer-vision game recognizing hand gestures to match geometric shapes, supporting gesture-based learning and human-computer interaction.
VisionX: Explainable CNNs
Modular, interpretable CNN with visualization tools for explainability and model behavior analysis in medical imaging applications.
Brain Tumor Detection
Applied deep CNNs for early-stage brain tumor classification and visualization through Grad-CAM for interpretability in clinical settings.
Research Output
Amirkabir University of Technology | Grade: 19.25/20
Developed efficient LLM-based summarization systems with adaptive retrieval mechanisms
github.com/zahramh99
Open-source implementations of computer vision, XR, and AI projects
Education
B.Sc., Computer Science, GPA: 3.2/4.0
September 2018 - August 2023
Thesis: Adaptive Retrieval-Augmented Summarization of User Opinions with Efficient LLMs (Grade: 19.25/20)
3D Modeling Student
Current
Research Interests
Machine Learning
- Deep & Representation Learning
- Reinforcement Learning
- NLP & Retrieval Systems
Generative AI
- Multitude & Foundation Models
- Large Language Models
- Diffusion & Self-Supervised Learning
Human Centered AI
- Neurotechnology & Cognitive Modeling
- XR & Wearable Systems for Well-Being
- Affective Computing
Computer Vision
- 3D Reconstruction
- Geospatial Modeling
- Multimodal AI
Technical Skills
Core Programming
AI & Machine Learning
Computer Vision & XR/3D
Tools & Platforms
Experience
July 2024 – September 2024
- Developed brain-inspired vision models for object recognition using transfer learning & neural activation analysis
- Conducted comparative study of recurrent & CNN architecture to investigate biologically motivated mechanisms in visual perception
April 2022 – November 2024
- Designed and implemented adaptive retrieval-augmented generation (RAG) pipelines for multilingual opinion summarization
- Fine-tuned transformer-based models (T5, BERT) to improve relevance, scalability, and cross-domain robustness in text summarization
- Supervisor: Prof. Mohammad Akbari
July 2021 – April 2022
- Developed responsive, accessible web interfaces using React.js, TypeScript, and Vue.js
- Enhanced usability and user experience through optimized frontend architectures
September 2023 – January 2024
- Artificial Intelligence and Workshop (Supervisor: Prof. Mohammad Akbari)
- Computer Workshop (Supervisor: Prof. Behnam Yousefimehr)
- Combinatorics and Applications (Supervisor: Prof. Alireza Mofidi)
February 2021 – January 2022
- Software Engineering
- System Analysis and Design
- Supervisor: Prof. Homayoun Motameni
Additional Projects
AI & NLP
- Adaptive RAG for Opinion Summarization: Thesis project developing efficient LLM-based summarization systems
- ClinicalClusterAI: Interpretable patient clustering pipeline for clinical outcome prediction
- Document Analysis with LLMs: Automated PDF parsing, summarization, and question generation
Human-Centered AI
- Journal Talk: Reflective AI journal assistant for mental wellness
- Counseler Chatbot: Mental health chatbot with predefined conversational intents
- The Empathy Mirror: AI-driven affect recognition using facial and speech cues
Systems & Applications
- Persian Search Engine: Information retrieval system for Persian content
- Coin Price Monitoring: Cryptocurrency app with Docker and Kubernetes deployment
- Twitter Clone: JavaFX-based social platform with Light/Dark Mode GUIs
Computer Vision
- TikTok-AI Voice Selector: Multimodal AI for expressive voiceover recommendations
- Next Word Prediction: Fine-tuned LSTM-based language models for text sequence prediction
Related Courses & Certifications
AI & Machine Learning
- Introduction to Artificial Intelligence (IBM)
- Introduction to Deep Learning and Neural Networks with Keras (IBM)
- Deep Learning using TensorFlow (IBM)
- Deep Neural Networks with PyTorch (IBM)
- Open Source Models with Hugging Face
Healthcare & Neuroscience
- Fundamentals of Machine Learning for Healthcare (Stanford University)
- Fundamental Neuroscience for Neuroimaging (Johns Hopkins University)
- Computational Neuroscience: Neuronal Dynamics of Cognition (EPFL)
University Courses
- Artificial Intelligence
- Machine Learning
- Natural Language Processing
- Computer Vision
- Information Retrieval
Languages
- Persian: Native
- English: IELTS Band 7.0
- Turkish: Native
- French: A1
Extracurricular Activities
- Cooperator in ICAISV Webinar — Amirkabir University of Technology (May 2023)
- Member of Student Scientific Chapter — Amirkabir University of Technology (2021 – 2022)
- Volunteer Columnist, Halgheh Magazine — Amirkabir University of Technology (2021 - 2022)