About Me!

I am a NYU graduate having majored in Computer Science with a minor in Math. I am interested in various CS domains, such as low level programming (compilers), backend dev, ML and scalability problems. I have experiences with medical imaging segementation & database systems. For a more personal biography please check out my github! Feel free to contact me at arham@nyu.edu or my LinkedIn.

Worked on a Angular webapp with a team of developers and management, with weekly scrum meetings and brainstorming sessions.
Assisted in refactoring and generalizing Angular components improved the readability and efficiency of the code base, reducing loading time.
AngularJS and Tailwind CSS were used to create components to redesign the website's blog page and boost scalability.

Engineered and established Agile objectives with a team of frontend/backend developers.
Implemented login systems for the company website using PHP and MYSQL.
Oversaw and assisted in the documentation and upkeep of codebase.
Helped with website troubleshooting to ensure browser and mobile compatibility.
Utilized Photoshop to ensure all site graphics were consistent with the brand’s visual identity.
Deployed a job posting system utilizing SQL databases and Ajax Programming.
Applied Git and Heroku for version control and hosting purpose (URL Masking)
Developed the login system within a time frame of 3 weeks, applying Scrum methodology.

Produced a chat bot to ease workload for doctors during COVID-19 by diagnosing patient’s illness through questionnaires.
Conducted sentiment analysis by using Google’s DialogFlow trained language model.
Coordinated the production of the 24/7 chatbot using Twilio for WhatsApp.

Carrying out ongoing thesis research work to compare conventional diagnosis methods to novel methods such as the Image Projection Network method, a novel deep learning approach using convolutional neural networks (CNN's).
Fine tuning and optimizing models to create a pipeline that allows for clinicians to use aforementioned models to aid in diagnosis.
Training various models (based on TensorFlow and Pytorch) with novel datasets to study biases and accuracy.
Produced detailed research proposal in LaTeX

Led 5+ groups of high school students from all over Abu Dhabi.
Initiated and moderated a variety of programs to promote lively debate on topics such as race, leadership, and family.
Collaborated and overlooked 10+ facilitators to plan various group activities and games.
Co-authored syllabuses for the program which taught to strengthen teamwork and communication among the students.

A web app to live chat between many global user in a single chat room.
Frontend done using Next.js, while user authentication and email verification for signing up was done using AWS Amplify. Backend was done using GraphQL API.
Continuous deployment using Github and Vercel.

A basic react app made using ReactJS for the front end with backend using Amplify, Lambda, RestAPI and NodeJS.
Frontend and backend stored on cloud to ensure a cloud architecture.

Created and tested a E-commerce Web App for Software Engineering course course using ReactJS, Firebase and Stripe API (for payment transactions).
Made and documented using Scrum methodology.
Solely produced a 17 pages comprehensive Software Requirements Specification documentation with Sprint Backlog, User Story Requirements and Poker Game Estimate.

Graphic Design: AutoCAD, Photoshop, Illustrator and Processing
Programming: C++, C, Python, JavaScript, Rust, Java, LaTeX and PHP
Technologies: TensorFlow, AngularJS, Firebase, AWS Amplify, GraphQL, Git, MySQL, PostGreSQL, Heroku, Linux, XAMP and Agile Methodology
Languages: English (Fluent), Bengali (Fluent), Hindi & Urdu (Intermediate)