Experienced Software Engineer with 4+ years of expertise in Python backend development, cloud-native solutions, and machine learning integration. Passionate about building scalable systems and leading high-performing teams.
With over 4 years of experience in software engineering, I specialize in Python backend development, cloud-native architectures, and machine learning integration. I'm passionate about creating efficient, scalable systems that drive business value.
Improved system performance by up to 45% through advanced optimization techniques
Led teams of 2-4 developers with proven track record in project delivery
Delivered critical projects like Dalfin and Shikshya with measurable results
3-time merit scholarship recipient and published researcher
Starting as a Computer Engineering student with a passion for technology, I've evolved into a senior software engineer who thrives on solving complex problems and mentoring teams.
My expertise spans from building robust backend systems with Django and FastAPI to implementing machine learning models and optimizing cloud infrastructure. I believe in continuous learning and staying at the forefront of technology trends.
A comprehensive toolkit built through years of hands-on experience in software development, machine learning, and system architecture.
Over 4 years of progressive experience in software engineering, from intern to senior developer, consistently delivering high-impact solutions and leading successful teams.
Strong foundation in computer engineering with focus on practical applications and research in machine learning and computer vision.
National College of Engineering, Tribhuvan University
Recognized for academic excellence and consistent performance throughout the program.
Advanced computer vision project focusing on real-time facial feature detection and analysis.
CNN-based system for automated animal species identification and classification.
Coursera
Comprehensive program covering data science methodologies, Python programming, data visualization, and machine learning techniques.
Coursera
Deep learning specialization focusing on neural network architectures and convolutional neural networks for computer vision.
Coursera
Fundamentals of Python programming with focus on interactive applications and game development.
HackerRank
Scalar Types, Operators and Control Flow, Strings, Collections and Iteration, Modularity, Objects and Types and Classes
NJSE Vol I, Issue 08/2020
National Journal of Science and Engineering, National College of Engineering
This research presents a comprehensive study on developing an automated animal recognition system using Convolutional Neural Networks (CNN). The system demonstrates high accuracy in identifying and classifying various animal species from digital images, contributing to wildlife conservation and biodiversity monitoring efforts.
I'm always interested in new opportunities and exciting projects. Whether you have a question or just want to say hi, feel free to reach out!