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@sanskardangol
Full‑stack developer and ML enthusiast building user‑focused web and AI solutions.
I am a curious and driven Computer Science undergraduate with hands‑on experience in full‑stack development and applied machine learning. I enjoy turning ideas into practical, user‑friendly solutions across web platforms and generative AI projects.
At SMTM Capital I built npFolio and related portfolio systems using Next.js, Node.js and Python, implemented APIs with Flask, and optimized workflows for bulk uploads, data extraction and reporting. I prioritize performance, responsive interfaces and reliable backend processing.
I have developed several academic and personal projects—from a sentiment‑based song recommender and an image generation WGAN to a MERN recipes app and a neural network implemented from scratch—demonstrating both research depth and pragmatic engineering. My toolset includes React, Next.js, Python, PyTorch, TensorFlow, SQL, Docker and Git.
I thrive in collaborative, agile teams, enjoy pair programming and user testing, and seek opportunities to continue learning while delivering impactful products that blend strong UX with robust ML capabilities.
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Work history, roles, and key accomplishments
SMTM Capital
Mar 2025 - Present (8 months)
Built and maintained three stock portfolio management systems (npFolio, npFund, npOpen) using Next.js and Python Flask, implemented bulk upload/data-extraction pipelines and reporting analytics, and optimized frontend performance to improve UX and operational efficiency.
Nepal Trekin Himalaya
Sep 2022 - Dec 2024 (2 years 3 months)
Developed and optimized a trekking website using WordPress, plugins and theme customization, and collaborated with site owners to refine design and functionality using Figma and Photoshop.
Kathmandu University
Sep 2023 - Present (2 years 2 months)
Developed multiple ML projects including sentiment-based song recommendation, neural network from scratch, and WGAN image generation, benchmarking models and improving outputs via preprocessing and upscaling.
Degrees, certifications, and relevant coursework
Bachelor of Science, Computer Science
2020 - 2025
Grade: 3.8
Activities and societies: Worked on multiple ML and web development projects (GenerAI, Songkhare, FromMyKitchen, NNScratch) and contributed to research-focused coursework.
BSc in Computer Science with specialization in full‑stack web applications and research-based machine learning projects; estimated CGPA 3.8.
+2 Higher School Degree, High School
2017 - 2019
Grade: 3.75
Completed +2 Higher School Certificate with distinction and a CGPA of 3.75.
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