Sangay.

Academic Journey

A timeline of my learning, projects, and growth in software engineering.

Sangay Wangchen - Profile Picture

Sangay Wangchen

Full-Stack Developer • AI Engineer • BCA Graduate

Profile Photo

Who I Am

I am a passionate Full Stack Developer and AI Engineer with a strong foundation in software development, artificial intelligence, and modern web technologies. I enjoy transforming ideas into impactful digital products that solve real-world problems. My interests span AI, machine learning, cloud technologies, and scalable system design, with a focus on building innovative solutions that create meaningful value.

Recent Qualification

Bachelor of Computer Applications (BCA)
Throughout my academic journey, I have developed expertise in software engineering, database management, web development, and AI-driven applications. My projects have involved building full-stack platforms, intelligent automation systems, and machine learning solutions for practical use cases.

Based In

Thimphu, Bhutan
As a developer from Bhutan, I am passionate about leveraging technology to contribute to digital transformation, innovation, and entrepreneurship within Bhutan and beyond. I actively explore opportunities to apply AI and software engineering to industries such as tourism, agriculture, education, and business services.

What I Do

  • Full Stack Web Development (Next.js, React, Django, FastAPI)
  • AI & Machine Learning Solutions
  • REST API & Backend Development
  • SaaS Product Development
  • Computer Vision Applications
  • Database Design & Optimization
  • Cloud Deployment & DevOps
  • AI-Powered Automation Systems

Current Focus

  • Artificial Intelligence & Machine Learning
  • AI Agents & Intelligent Automation
  • Full Stack Product Development
  • Startup Innovation & Entrepreneurship
  • Building impactful technology solutions for Bhutan and global markets

Career Vision

My goal is to become a leading AI Engineer and technology entrepreneur, building products that solve meaningful problems and contribute to the growth of the digital economy. I am particularly interested in developing AI-powered platforms that can transform industries and create long-term value for society.

Explored AI & Web Development

2024

Built projects using Next.js, React, Django, FastAPI

Current Focus

2025 – Present

Artificial Intelligence, scalable systems, and product development

Final Year Project

2026

Completed with distinction – Early Plant Disease Detection using Machine Learning

Bachelor of Computer Applications

2023 – 2026

Conferred June 2026 • CGPA 8.74 • Focus: Software Development, Databases, Web Technologies, AI & ML

Milestone Achieved

🎓 Graduation Ceremony

Assam Down Town University — 1st Graduation Ceremony for International Students

A proud moment celebrating the successful completion of my Bachelor of Computer Applications, recognized with distinction among the first cohort of international students.

Graduation Celebration with Cap

🎓 Celebrating Graduation

Graduation Award and Flowers

🏆 Academic Excellence Award

Receiving Award on Stage

📜 Award Presentation

University

Assam Down Town University

Distinction & Award

Academic Excellence

Location & Year

Guwahati, Assam • 2026

Official Achievement

🎓 Provisional Certificate

Officially conferred upon successful completion of the Bachelor of Computer Applications program.

Bachelor of Computer Applications - Provisional Certificate

University

Assam Down Town University

Degree Awarded

BCA — CGPA 8.74

Conferred

22 June 2026

Certificate No.

PPC03429

Degree

🎓 Degree Certificates

Official degree certificates awarded upon graduation.

Degree Certificate 1
Degree Certificate 2

🏆 Final Year Project

Early Plant Disease Detection using Machine Learning (Himalayan CropGuard)

A web-based plant disease detection system that uses a ResNet-34 deep learning model to identify diseases from leaf images. Built with a Flask web application, it enables real-time diagnosis and provides early recommendations to support effective crop management and improve yield quality.
Tech Stack: ResNet-34, Flask, Computer Vision
Features: Real-time detection, image-based diagnosis, crop recommendations

Project Completion Ceremony

Project Submission

With Project Guide

With Project Guide

Project Presentation

Project Presentation

Team Celebration

Team Celebration

Project Guide

Ms. Dubari Sarma

Completion

Awarded Distinction • 2026

Ceremony

June 2026