A Full Stack Developer currently looking for new a challenge
FRAMEWORKS: React, Next.js, React Native, TensorFlow, Keras
SOFTWARES: Visual Studio Code, Android Studio, Tableau, Weka
DOMAIN: Mobile App Development, Website Development, Machine Learning, Deep Learning, Computer Vision
CLOUD: Google Cloud Platform, Amazon Web Services
TOOLS: Node.js, MongoDB, Git, GitHub, LATEX
Below is a collection of my most interesting projects
Performance testing using Server-side-rendering
Developed and deployed a server-side rendered blog website using Next.js with Prisma and MySQL integration. Tested the website’s server response and performance in contrast to static, universal, and client-side rendered websites based on server-response time, DOM loading and processing, speed ̈ index, time to first byte, and final interactive time
Cross-platform App Development
Website Development contract from NGB Living
Impressed by the results, the same German Company I formerly worked with as a Machine Learning Intern offered a full contract for website development and enhancement.
Finished my first freelance project
Worked with a Malaysian client on a cross-platform mobile application using React Native. Finished the project with satisfactory results in 15 days.
Published my first research paper
Published a paper for a complete product developed for detecting depression using vision.
Expedited another project at University of Cambridge
Role: Cloud Machine Learning & Full Stack Developer
Predicting Anemeia among users by predicting the Vitamin D, Vitamin B-12, and Iron content from medical reports and images of the patients.
Landed an internship at a German Company
Role: Machine Learning Intern
Designed and deployed an interactive chat assistant using machine learning to automate the existing process for addressing customer queries about the company services.
Started working at University of Cambridge
Role: Development Intern
Finished three projects simultaneously and successfully developed three cross-platform applications using React-Native, and Flutter.
Managed the Application development and Cloud team to deploy the software for clinical trials in parallel collaboration with the Machine Learning team.
First Internship at iPing Data Labs
Role: Machine Learning & Computer Vision Intern
Automated quality assurance for industry workers while ensuring safety paraphernalia and smooth execution of industrial processes using Computer Vision.
Elected as a technical advisor at the Association of Computer Engineering Students
Established a competitive programming environment in the college, organised Hackathons and Webathons over 24-hours, created problems for the hackathon. Organized events and workshops based on tools and technologies like C, C++, Python, Java, R, Swift, PHP, and NetBeans, depending upong the students’ profile and requirements. Managed and organized technical festivals related to College and Department.