Frederick Chandra
@frederickchandra
AI engineer with a systems-thinking mindset and practical problem-solving skills.
What I'm looking for
I am an AI engineer currently pursuing an M.Sc. in Data Science at Binus University. My journey in technology is driven by curiosity and a thoughtful skepticism that fuels my passion for building impactful solutions. I thrive on connecting ideas across disciplines, transforming them into scalable, working solutions that address real-world challenges.
At PT. Vanz Inovatif Teknologi, I have honed my skills as a Fullstack Engineer, where I designed and implemented a scalable Model Context Protocol architecture to analyze web-scraped data and generate AI prototypes. My work on projects like HukumBot and License Plate Recognition showcases my ability to integrate advanced technologies, such as LLMs and YOLOv8, to enhance system efficiency and accuracy.
With a strong foundation in computer science and a GPA of 3.62, I am committed to continuous learning and growth in the field of AI and data science. I believe in the power of iterative development and automation to drive innovation and am eager to contribute to projects that make a meaningful difference.
Experience
Work history, roles, and key accomplishments
Fullstack Engineer
PT. Vanz Inovatif Teknologi (Qbit)
Jan 2025 - Present (6 months)
Designed and implemented a scalable Model Context Protocol (MCP) architecture with integrated RAG to analyze web-scraped data and generate AI prototypes. Developed full-stack features (NestJS backend; Vite & React Native frontend): performance optimizations, bug fixes, and new functionality.
Education
Degrees, certifications, and relevant coursework
Binus University
Master of Information Technology, Information Technology
Currently pursuing a Master of Information Technology, focusing on advanced topics in data science and artificial intelligence. This program is enhancing my skills in complex problem-solving and modern technical ecosystems.
Binus University
Bachelor of Computer Science, Computer Science
Grade: 3.62 of 4.00
Completed a Bachelor of Computer Science, gaining foundational knowledge in programming, data structures, and algorithms. Achieved a GPA of 3.62 out of 4.00, demonstrating strong academic performance.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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