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Sanskar Dangol

@sanskardangol

Full‑stack developer and ML enthusiast building user‑focused web and AI solutions.

Nepal
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What I'm looking for

I seek a collaborative, learning‑focused role building user‑centered web platforms or applied ML products, with opportunities for technical growth and impact.

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.

Experience

Work history, roles, and key accomplishments

SC
Current

Full Stack Software Developer

SMTM Capital

Mar 2025 - Present (7 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.

Education

Degrees, certifications, and relevant coursework

Kathmandu University logoKU

Kathmandu University

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.

US

Uniglobe Higher Secondary School

+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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Sanskar Dangol - Full Stack Software Developer - SMTM Capital | Himalayas