Building intelligenceinto systems.
Hi, I'm Bibek Rawal. I'm a Computer Science graduate specializing in Machine Learning, Deep Learning, and Computer Vision. I craft efficient software that addresses real-world issues.
Engineering Intelligence.
I don't just train models; I build comprehensive systems. My work bridges the gap between theoretical data science and robust, production-ready software engineering.
The Journey
Armed with a Computer Science degree from Tribhuvan University, my fascination with pattern recognition pulled me deeply into the world of Artificial Intelligence. I specialize in Natural Language Processing (NLP), Computer Vision, Linguistic Calculations, and full-stack integration, transforming complex neural architectures into highly accessible, real-world applications.
Kathmandu, Nepal
Open to global research collaborations and industry roles. Available remotely or willing to relocate.
Core Stack & Ecosystem
- Python
- TypeScript / JS
- C++ / C
- SQL
- PyTorch
- TensorFlow / Keras
- Transformers / Hugging Face
- Computer Vision
- Pandas
- NumPy
- Matplotlib
- BM25 Retrieval
- Django / REST APIs
- Next.js / React
- Git & Docker
- MySQL
Data First.
Models are only as good as the data feeding them. I prioritize rigorous exploratory data analysis and pristine preprocessing pipelines before building any architecture.
Work Experience
My professional journey in the AI and tech industry.
Associate AI Engineer
2025/10/17 - PresentFrost Digital Ventures (CAS Techno Sales Pvt. Ltd.)
•Kathmandu, Nepal
- •Design and implementation of end-to-end AI/ML solutions.
- •Developing and optimizing machine learning pipelines for production deployment.
- •Collaborating with cross-functional teams to integrate AI capabilities into enterprise products.
- •Initially joined as an AI Intern before being promoted to full-time Associate AI Engineer.
Data Specialist
2025/01/07 - 2025/09/30Cloudfactory
•Kathmandu, Nepal
- •Worked as a Data Annotator and 3D Modeler across various high-stakes machine learning projects.
- •Ensured high-quality dataset generation for training complex AI systems.
- •Processed and labeled large volumes of image and spatial data for computer vision applications.
Selected Work
A showcase of my recent machine learning models and experiments.
NLTTA: Nepali Language Transliteration & Translation
A hybrid system bridging the linguistic gap for Romanized Nepali speakers, combining an mBART neural translation model with a BM25 probabilistic search engine.
Read Case Study
Vegetation Disease Detector
A deep learning model using Convolutional Neural Networks (CNNs) to detect and classify diseases in vegetation based on leaf images, achieving 98% training accuracy.
Read Case Study
Super Resolution GAN
An implementation of SRGAN to upscale low-resolution images to high resolution using Generative Adversarial Networks and Perceptual Loss functions.
Read Case StudyAcademic & Certifications
A continuous journey of exploring algorithms, neural architectures, and software engineering.
B.Sc. Computer Science & Information Technology
Kathmandu, NepalInstitute of Science and Technology, Tribhuvan University
- •Graduated with Distinction (83.6%)
- •Focus Areas: Artificial Intelligence, Data Structures, Computer Vision, NLP
- •Built foundational knowledge in low-level systems and high-level ML abstractions.
DeepLearning.AI (Coursera)
- •Mastered building and training neural networks using TensorFlow.
- •Implemented CNNs for image classification and RNNs for natural language processing.
DeepLearning.AI (Coursera)
- •Built foundational skills in TensorFlow and computer vision.
DeepLearning.AI (Coursera)
- •Learned to diagnose errors in ML systems and prioritize strategies for reducing errors.
- •Gained insights into end-to-end deep learning setups and transfer learning strategies.
FreeCodeCamp
- •Solidified Python programming fundamentals, focusing on data structures and algorithms.