Primary focus
Applied AI
Multimodal learning, deep learning, reinforcement learning, computer vision, and NLP.
ARYAN NOURBAKHSH // AI + SOFTWARE ENGINEER
I work across multimodal learning, deep learning, reinforcement learning, computer vision, and product engineering—taking ideas from model experiments to clear, usable interfaces. This version is built for straightforward browsing: projects, experience, skills, and contact details in one scroll.

At a Glance
I’m strongest where AI and product engineering meet: shaping models, evaluating ideas, and turning them into interfaces people can understand and use.
Primary focus
Multimodal learning, deep learning, reinforcement learning, computer vision, and NLP.
Product background
Frontend and product engineering with React, Next.js, TypeScript, and modern UI systems.
Working style
From model selection and prototypes to interfaces, testing, and deployment-ready workflows.
Work by Focus
Focus 01 // APPLIED AI
Work across multimodal learning, deep learning, reinforcement learning, computer vision, and NLP, with an emphasis on reproducible evaluation and practical pipelines.
OPEN SOURCE // CLIP // BLIP
Built an end-to-end comparative pipeline for classical retrieval, CNN-LSTM captioning, CLIP retrieval, and BLIP captioning across 8,091 images. CLIP achieved 69.52% image-to-text R@1, while BLIP led the captioning metrics.
View open-source project (opens in a new tab)CV // MEDIAPIPE
Built an OpenCV and MediaPipe pipeline that detects facial landmarks and measures left-right symmetry from images.
RL // DQN
Developed a DQN-based reinforcement learning model that adapts recommendations using typing performance data.
CNN // TENSORFLOW
Designed and trained a TensorFlow CNN for 10-class image classification on the CIFAR-10 dataset.
NLP // SPACY
Trained and deployed a spaCy text classifier on the GoEmotions dataset to predict fine-grained emotion labels.
Focus 02 // SOFTWARE
Frontend and product engineering with React, Next.js, TypeScript, testing, and delivery workflows.
FULL TIME // 2025-PRESENT
At ABHP, I define AI architectures for product features, build Next.js and React interfaces, lead Scrum ceremonies, and run end-to-end tests on new features.
OPEN SOURCE // GO // WEB UI
Contributed to Mizban, a cross-platform LAN file-sharing application with a browser client, QR-based access, local settings, and parallel chunked transfers.
View open-source project (opens in a new tab)NEXTJS // RENTAL
Developed a Next.js property rental and reservation platform with a product-focused frontend.
REACT // PRODUCT UI
Built frontend workflows for service booking, competition management, event management, and time reservations.
Focus 03 // RESEARCH
My academic path in computer engineering and hardware engineering, alongside teaching roles and technical workshops.
BNUT // 2025-PRESENT
Currently pursuing a master’s degree in Computer Hardware Engineering at Babol Noshirvani University of Technology.
BNUT // 2021-2025
Completed a bachelor’s degree in Computer Engineering at Babol Noshirvani University of Technology.
TEACHING // 2023-PRESENT
Served as Head TA for Data Structures, Advanced Programming, Fundamentals of Computer Vision, and Fundamentals of Artificial Intelligence across multiple semesters.
WORKSHOP // PYTHON
Led a foundational image processing workshop in Python, covering core concepts and hands-on exercises.
Focus 04 // PROJECTS
Hands-on work across AI, analytics, data systems, web scraping, and software prototypes.
AI BOOTCAMP // ATS
Built an ATS prototype that compares candidate profiles with job requirements using cosine similarity and Euclidean distance.
MONGODB // CRUD
Built an early-stage MongoDB data system for CRUD operations across hospital management workflows.
OPEN SOURCE // DATA ANALYTICS
Analyzed Wi-Fi latency drivers with preprocessing, outlier filtering, correlation analysis, feature binning, and mutual information to identify signal and distance factors that affect network performance.
View open-source project (opens in a new tab)SELENIUM // BS4
Used Selenium and BeautifulSoup to collect structured data from real estate and other web sources for custom datasets.
Focus 05 // ABOUT
How I work, what I’m focused on now, and the kinds of problems I’d like to solve next.
PROFILE
I’m an AI engineer focused on multimodal learning, deep learning, reinforcement learning, and computer vision. My frontend background helps me turn models into practical, user-friendly applications.
NOW
I’m currently working on AI-driven product features, model and architecture selection, Next.js and React interfaces, and end-to-end product testing.
OPEN TO WORK
I’m open to AI and software engineering roles, research prototypes, computer vision and NLP work, data projects, and selected freelance frontend engagements.
Technical Toolkit
The stack I use across AI experiments, data work, and production interfaces.
I’m open to AI and software engineering roles, research prototypes, computer vision and NLP work, data projects, and selected freelance frontend engagements.
Email is the clearest way to start a conversation.