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Master's in Computer Science

• GPA (4.0)
• Computer Science Courseworks
  • Algorithms and Comblexity, Parallel Processing, Automata Theory and Database Processing
• Artificial Intelligence Courseworks
  • Mining and Machine Learning on Graphs, Advanced Data Science, Seminar on Deep Learning in NLP

Bachelor's in Electronics and Computer Engineering

• UGPA (3.82)
• Computer Science Courseworks
  • Computer Programming (C), Object Oriented Programming in C++, Discrete structure, Computer Organization and Architecture, Computer Graphics, Embedded System, Computer Networks, Microprocessor, Project Mangement, Digital Signal Processing
• Artificial Intelligence Courseworks
  • Artificial Intelligence, Data Mining, Big Data Technologies
• Mathematics Courseworks
  • Linear Algebra, Probability & Statistics, Calculus I, Calculus II, Calculus III, Numerical Methods, Applied Mathematics

Graduate Research Assistant

• Developed a system to infer SMPL parameters from 3D human body point clouds, employing these predictions and using Graph Neural Networks to measure body metrics such as weight.
• Utilized Machine Learning to analyze and compute injury risks from extensive datasets, including point cloud data and additional records, over three years for 430 university athletes/runners.

Software Engineer - Artificial Intelligence

• Upgraded SAIFTY project by enhancing SDS extraction accuracy from 81% to 89% applying BERT and CatBoost models which facilitated the project’s move to production and attracted major firms like BASF, generating around €2 million in revenue.
• Led a team of 4 to create an real estate document extraction system with NLP and large language models, improving KPI extraction and cutting manual efforts by 90%. This led to improved service for 7 clients and an estimated €3.5 million in revenue.
• Guided exact phrase matching project for SDS into production, implementing Faiss indexing and engineering a robust TF-IDF system for bettered word-to-word similarity. This led to a 10-fold reduction in query time, boosting data processing efficiency and reliability, and leading to a projected annual revenue growth of €500,000.

Software Engineer - Machine Learning

• Played a pivotal role in devising a specialized approach for table analysis, utilizing image processing (97% TED score) and deep learning (78% TED score) for bordered and borderless tables, respectively, and contributed a $1 million annual revenue increase.
• Deployed a clothing size estimation system, cutting pipeline latency by 50% and upgrading model performance. This improvement boosted sizing accuracy and customer experience, contributing to an annual revenue increase of approx. $750,000.
• Build a robust system for information extraction from scanned documents and machine-readable PDFs leveraging classical image processing and deep learning techniques. Also, extracted information from Nepali bank account opening forms.
• Designed, reviewed, and refined course content for Fusemachines AI Education Programs, with a focus on Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing.
• Selected among the top 25 students out of 1000+ applicants for the AI Fellowship program.

Teaching Assistant at Third Winter School in AI

• Implemented SARSA and Q-Learning algorithms, analyzed stochasticity in a grid world, addressed neural network function approximation, and explored PPO algorithm performance in a continuous state-action domain with varying architectures.

• Yantra Learning 8.0 Thematic Category Winner
  • Robotics Association of Nepal

• Thematic Software Category Winner - Blood Management System
  • Locus 2019
• AI Fellowship
  • Fusemachines
• Rising Student ICT Award
  • Living with ICT
• Blockchain Challenge Winner
  • Everest Hack

• Thematic Software Category Winner - Smart Library
  • Locus 2018

• Institute of Engineering Scholarship for B.E.
  • Institute of Engineering, Pulchowk Campus