01 — About
Bio
Passionate ML + full-stack developer with 1.5+ years of iOS front-end experience (SwiftUI, UIKit) and backend expertise in Node.js (NestJS). I build interpretable, fair, and reliable AI for time-series and medical imaging, and turn it into scalable web and mobile products. My toolkit includes Python (TensorFlow, PyTorch, scikit-learn), MongoDB, GraphQL, and cloud technologies, with a strong focus on UX and performance.
When I'm not coding, I mentor students, organise tech and community events, write practical tech pieces, and explore the latest web technologies. Offline, you'll find me hiking or trekking, out in nature with a camera, or playing guitar and singing.
02 — My Story
Journey
From Nepal to Baltimore: I chase problems worth solving by day, and mountains, songs, and good light everywhere else. Here's the short version of how I got here — and what keeps me going outside of work.
The journey begins
Started a B.S. in Computer Science at Kathmandu University in Dhulikhel, Nepal.
IT MEET 2022
Led non-technical events as part of the organizing team, coordinating 5+ university events and growing student participation by 21%.
Graduated — Kathmandu University
Earned my B.S. in Computer Science, with an emphasis on software engineering and data science.
Moved to the U.S.
Packed my bags for Baltimore to start a Master's in Advanced Computing at Morgan State University — new city, new chapter.
AUC Data Science Initiative — 3rd Place
Placed 3rd in Atlanta with the Mastercard Center for Inclusive Growth, building models to analyze financial inclusion disparities across demographic groups.
Presidential Medal for Service and Excellence
Recognized by the STAR Scholars Network for sustained leadership and organizational impact as Media Specialist.
Best Spotlight Video Award, NSEA
Recognized with the CEAMLS research team at NSEA for the best spotlight video presenting our healthcare AI project.
People's Choice Award, NSEA
Won the People's Choice Award at the National Symposium on Equitable AI for research presented under CEAMLS.
NSEA Hackathon Winner
Built ReadAloud with my team: an offline AI tool that turns a short reading sample into a full literacy report for teachers, with every AI call overridable by the teacher. Took first place at the NSEA hackathon.
Graduated — Morgan State University
Completed my Master's in Advanced Computing, focused on AI, deep learning, and medical image analysis.
Now: Ph.D. in Advanced Computing
Continuing research in equitable AI and machine learning systems for healthcare, at Morgan State University.
In Pictures
Moments
The story so far, in photos.
Graduation Day, Morgan State (1/2)
Graduation Day, Morgan State (2/2)
Presidential Medal (1/3)
Presidential Medal (2/3)
Presidential Medal (3/3)
CEAMLS Summer 2025 Team (1/2)
CEAMLS Summer 2025 Team (2/2)
CEAMLS Summer 2026 Team (1/2)
CEAMLS Summer 2026 Team (2/2)
NSEA Hackathon Winner (1/2)
NSEA Hackathon Winner (2/2)
Hackathons Along the Way (1/3)
Hackathons Along the Way (2/3)
Hackathons Along the Way (3/3)
Hiking & Friends (1/5)
Hiking & Friends (2/5)
Hiking & Friends (3/5)
Hiking & Friends (4/5)
Hiking & Friends (5/5)
Guitar Nights
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03 — Career
Work Experience
My professional journey and achievements
Led interdisciplinary undergraduate research teams building Python/TensorFlow healthcare AI systems for the Center for Equitable Artificial Intelligence and Machine Learning Systems (CEAMLS), providing technical direction on model design, experimentation, code quality, and research methodology.
Key Achievements:
- Built multimodal ECG classification pipelines using 1D-CNN, Transformer, and 2D-CNN architectures, achieving 90%+ accuracy
- Improved ensemble performance by 14% through time-, frequency-, and time-frequency features
- Automated preprocessing, training, and evaluation workflows with Python, NumPy, and TensorFlow, reducing GPU training time by 30%
- Implemented fairness, Grad-CAM, and robustness analyses for clinician-facing interpretability
Designed, tested, deployed, and maintained secure authentication flows and GraphQL APIs across mobile and administrative applications.
Key Achievements:
- Designed secure login, OTP, and JWT auth flows in SwiftUI, improving login success by 40% and user satisfaction by 63%
- Developed TypeScript/NestJS GraphQL APIs and optimized data queries, improving retrieval speed by 37%
- Integrated the Google Calendar API for 1K+ active users, improving scheduling efficiency and engagement
- Collaborated with product and engineering on debugging, code reviews, and releases, reducing production bug reports by 25%
Developed iOS applications in SwiftUI/UIKit and contributed Node.js/Express backend services while ramping up on modern engineering practices.
Key Achievements:
- Built iOS apps with SwiftUI, UIKit, and MVVM, increasing in-app session length by 18%
- Built and optimized REST/GraphQL backend services with Node.js and Express, improving API response time by 22%
- Implemented real-time notification workflows with WebSockets, increasing engagement by 13%
04 — Academics
Education
My academic background and qualifications
Continuing research in equitable AI and machine learning systems for healthcare applications.
Focusing on AI, deep learning, and medical image analysis.
Highlights:
- Relevant Coursework: Design and Analysis of Algorithms, Software Engineering, Cloud Computing
- Research Assistant under CEAMLS (Center for Equitable Artificial Intelligence and Machine Learning Systems)
- Presented at the National Symposium on Equitable AI (2025)
Emphasis on software engineering and data science.
Highlights:
- Led non-technical events for IT-MEET 2022
- Member of Kathmandu University Computer Club (KUCC)
05 — Research
Publications
Peer-reviewed research and work in progress
06 — Work
Featured Projects
Some of my recent work and side projects
07 — Get In Touch
Let's Connect
I'm always interested in new opportunities and collaborations