Hi! I am Ajhesh Basnet, a passionate Artificial Intelligence and Data Science professional dedicated to developing innovative solutions. My expertise spans Deep Neural Networks, Large Dataset processing, with specialized focus on Computer Vision, Natural Language Processing, and MLOps implementations.
Classical ML models, Deep Neural Networks and Model Optimization
Image Processing and Visual Recognition Systems
Text Analysis and Language Understanding
Extracting Meaningful Insights from Structured and Unstructured Data
Model deployment, monitoring, and CI/CD pipelines for machine learning systems
Building scalable APIs and services to support AI/ML applications
Implemented core ViT architecture including patch embedding, positional encoding, and multi-head attention using PyTorch. Modular design tested on image classification tasks.
Re-implemented the Transformer architecture in PyTorch for English–Nepali translation, achieving a BLEU score of ~29— comparable to the original paper’s 28.4 on English–French, using fewer configurations.
Fine-tuned XLM-RoBERTa-3B for 5 class sentiment classification on Nepali text using LoRA, reaching roughly 79% accuracy with balanced training.
Built retrieval-augmented generation chatbot using LLaMA-7B, vector search for domain-specific queries with contextual responses.
Developed binary classifier using TF-IDF and Random Forest achieving 93% accuracy with full preprocessing pipeline.
Extracted structured health information using OCR and NER, providing rule-based medical guidance.
Used Mediapipe to track human pose landmarks and count repetitions based on joint movement logic with OpenCV for real-time visual overlay and user guidance.
Developed a real-time license plate recognition system using a YOLO-based pipeline and OCR, connected to a backend database to detect flagged vehicles and trigger alerts instantly upon match.
My professional journey combines rigorous academic training with hands-on project experience. The resume provides detailed insights into my qualifications, technical competencies, and notable achievements in the field of AI and data science.