def forward(self, x): x = F.relu(self.fc1(x)) x = F.relu(self.fc2(x)) return self.fc3(x)
loss = criterion(output, target) loss.backward() optimizer.step()
I build full-stack solutions, uncover patterns with data science, and create intelligent systems with AI.
Explore my technical universe - from programming languages to frameworks and development expertise
90% Proficiency
95% Proficiency
85% Proficiency
90% Proficiency
85% Proficiency
80% Proficiency
8 skills • Overall proficiency: 90%
Python
TypeScript
JavaScript
C#
Java
C++
C
Rust
Explore my portfolio of innovative solutions spanning web development, data science, and artificial intelligence.
A fully local creative reasoning engine that transforms technical computer science literature into poetic and philosophical narratives. Using a private Retrieval-Augmented Generation pipeline, the system blends factual knowledge with expressive language to generate uniquely styled conceptual poetry.
An end-to-end computer vision pipeline designed to accurately classify apparel images into multiple clothing categories. The system integrates a custom-trained deep learning model with a modern frontend and backend workflow, enabling seamless real-time inference and user interaction.
A sophisticated Retrieval-Augmented Generation system that leverages vector embeddings to enhance information retrieval capabilities. The system combines large language models with a vector database to deliver highly relevant contextual responses based on user queries.
Open Market Hub is a startup dedicated to creating an open market platform where individuals and businesses can efficiently buy and sell a wide range of products and services. With a focus on accessibility and user-friendliness, Open Market Hub aims to streamline the trading process, fostering a dynamic marketplace that connects buyers and sellers seamlessly.
Developed semi-autonomous robotic systems using ROS, RGBD cameras, and microcontrollers to implement SLAM (Simultaneous Localization and Mapping). This involved integrating sensor data from RGBD cameras with ROS frameworks and microcontroller-based control systems to enable real-time mapping and navigation capabilities.
The project created RESTful APIs with Spring Boot for a blog application, covering user authentication, blog post management, and database integration. Adhering to RESTful principles ensured scalability and security, while integrating third-party services added features like image uploading and comments for enhanced functionality.
The project implemented Dijkstra's and Bellman-Ford algorithms for finding shortest paths in graphs. Dijkstra's algorithm uses a priority queue to efficiently compute the shortest path from a source vertex to all others, while Bellman-Ford iteratively relaxes edges to handle graphs with negative weight edges. These algorithms provided effective pathfinding solutions across various graph structures and scenarios.
The movie booking system employed React for the frontend and Spring Boot for the backend. React enabled a responsive interface for browsing movies, viewing showtimes, and selecting seats, with real-time availability updates and booking confirmations. Spring Boot facilitated RESTful APIs to manage movie data, process bookings, and interact with a database.
I created an API using Spring Boot, designed to facilitate seamless integration and communication between different software applications. Built with a focus on efficiency and scalability, the API provides robust functionality for handling data transactions, authentication, and various business logic operations, ensuring smooth interactions across platforms and enhancing overall system performance.
Explore my academic background and key learnings.
M.S. & Ph.D. in Computer Science - Artificial Intelligence, Machine Leaning
Bachelor of Science in Computer Science, Minor in Mathematics
Explore my career path spanning full stack development, research, and data science
Mobility Automation Lab

Industry-recognized credentials validating my expertise in cloud computing, infrastructure, and software development.
This certification validates expertise in designing and deploying scalable systems on AWS. It covers a wide range of AWS services and best practices.
This certification demonstrates proficiency in developing, deploying, and debugging cloud-based applications using AWS.
This certification validates your expertise in Terraform, showcasing your ability to design, implement, and manage infrastructure as code solutions from the ground up.
This entry-level certification covers the fundamentals of AWS cloud, including its global infrastructure and basic architectural principles.
Discover my journey as a developer and data enthusiast.
I'm a passionate developer who transforms ideas into robust, scalable solutions through clean code and data-driven decisions. Whether it's designing modern frontends, engineering performant backends, or extracting insights from data, I bring full-stack versatility with a problem-solving mindset.
My passion also extends to data science—cleaning data, building ML models, and using Python tools like Pandas, Scikit-learn, and PyTorch to turn raw data into smart decisions. Whether it's transforming raw data into actionable insights, building predictive models, or visualizing trends, I love using data to tell compelling stories and solve real-world problems.
Outside of work, I enjoy tennis and exploring the latest in AI, DevOps, and systems design. My mission? To build secure, intelligent, and impactful software that scales.
I thrive in collaborative environments where problem-solving, creativity, and curiosity come together. Let's connect and build something extraordinary!

I'd love to hear from you!
Have a project in mind or want to explore collaboration opportunities? I'd love to hear from you! Fill out the form or reach me directly at:
dhunganabibek2015@gmail.com