Senior Software Engineer with 5+ years of experience, interested in Artificial Intelligence, Machine Learning, and Healthcare.
About Me
My background is in software engineering, where I have spent the past five years building and maintaining production applications across full-stack development, cloud platforms, automation, and AI-enabled systems.
Working on real-world software problems gradually developed my interest in how intelligent systems can be used beyond traditional application development. This led me to explore machine learning and its applications in healthcare, including my undergraduate project on thyroid disease prediction.
I am now looking to build on my industry experience through graduate study in Computer Science where I hope to strengthen my research foundation and explore AI-driven approaches to practical problems.
Led the technical architecture, data infrastructure, and full-stack development for high-concurrency enterprise software systems, acting as a core contractor for major healthcare projects including Mayo Clinic research platforms. Focused on building the scalable data pipelines, database architectures, and APIs that power clinical software systems and research tracking.
Clinical Data Infrastructure: Spearheaded the full-stack development of secure enterprise software utilized by Clinical Principal Investigators and Administrators to manage and audit large-scale medical research fund allocations.
Pipeline & System Scaling: Architected and deployed robust microservices and micro-frontend infrastructures to process complex healthcare operational data, accelerating software deployment cycles by 35%.
Led Google Cloud Platform (GCP) and Azure cloud integration, setting up CI/CD pipelines with Azure DevOps and Kubernetes for zero-downtime deployments.
High-Throughput Databases: Built and optimized complex database schemas in Cosmos DB and MS SQL Server to handle high-concurrency data queries, reducing latency by 20% to support data-heavy clinical monitoring systems.
Telemetry & System Reliability: Implemented Splunk and AppDynamics for centralized logging, distributed tracing, and real-time observability, ensuring high availability and seamless data flow for enterprise clinical applications.
Core Tech Stack & Domain: Next.js, React.js, Node.js, Express.js, Cosmos DB, MS SQL Server, Healthcare Data Infrastructure, Distributed Systems, Software Engineering for Clinical Research.
Ensemble Matrix Pvt. Ltd.
Kathmandu, Nepal | Hybrid
Ensemble Matrix Pvt. Ltd.
Full-Stack & AI Integration Engineer
🗓️ Dec 2021 - Aug 2022
Responsibilities
Designed and developed robust back-end services using Django, ensuring scalability and performance
Built front-end user interfaces with React.js, creating intuitive and visually appealing user experiences.
Designed database models and optimized query performance for relational and NoSQL databases
Deployed web applications in cloud environments using Google Cloud Platform (GCP)
Coordinated with the business on User Acceptance Tests (UAT) and to get the approval from business on the design changes
VolgAI Pvt. Ltd
Kathmandu, Nepal | On-Site
VolgAI Pvt. Ltd
React Developer
🗓️ Aug 2019 - Nov 2020
Responsibilities
Developed dynamic web pages using HTML/HTML5, CSS/CSS3, jQuery, React.js, Bootstrap, Less, CSS3, SASS and AJAX
Developed single page applications using React Redux architecture, ES6, web pack and grunt.
Write, review and unit-test production-level code using python on daily basis.
Developed various screens for the front end using ReactJS and used various predefined components from NPM (Node Package Manager)
Worked with modules like MongoDB and mongoose for database persistence using Node.js to interact with MongoDB.
Worked with JSON web tokens for authentication and authorization security using Node.js.
Please feel free to contact me.If you have a project in mind or are simply interested in finding out more, please fill the form below and let's get things moving.