Amal Joe R S

IIT Bombay (MTech CSE) | AI & ML

Email: amaljoe88@gmail.com | LinkedIn

About Me

I am a Masters student at IIT Bombay specializing in the field of artificial intelligence and machine learning. I also have over 2 years of software development experience working with Frontend technologies.

Skills

AI & ML

  • Deep Learning
  • Reinforcement Learning
  • Machine Learning
  • Data Analysis
  • TensorFlow
  • Keras
  • Pandas
  • NumPy
  • Scikit-learn
  • Jupyter Notebooks
  • Python
  • Java
  • C

Frontend

  • HTML
  • CSS
  • JavaScript
  • React
  • Flutter
  • Firebase
  • Material UI
  • Module Federation
  • Unit Testing
  • PWA

Soft Skills

  • Leadership
  • Team Player
  • Problem Solving

Education

M.Tech, Computer Science and Engineering

INDIAN INSTITUTE OF TECHNOLOGY BOMBAY
May 2024 - Present

  • GATE qualified with AIR 161 in CS and AIR 234 in DA (Data Science and Artificial Intelligence)
  • Specializing in AI and machine learning coursework

B.Tech, Computer Science and Engineering

MAR BASELIOS COLLEGE OF ENGINEERING AND TECHNOLOGY
Jan 2020 - Jun 2023

  • Graduated First Class with Distinction (CGPA 9.31)
  • Proficiency Award (1st Rank) recipient in the Computer Science and Engineering department during sophomore year
  • Elected as class representative during pre-final year
  • Elected as the department representative of Computer Science and Engineering department during final year
  • Nominated for the Baselian Award (all-rounder) on graduation and recipient of the Best Performing Student Award
  • Relevant Courses: Artificial Intelligence, Soft Computing, Programming in Python, Image Processing, Computer Graphics, Data Compression, Distributed Computing, Seminar on Style Generative Adversarial Network

Projects

MICROGRAD

Developed a compact Autograd engine with robust capabilities, implementing backpropagation (reverse-mode autodiff) over a dynamically constructed Directed Acyclic Graph (DAG). Designed and built a small-scale neural networks library on top of this engine, featuring a PyTorch-like API.

AUTOMATIC ATTENDANCE TRACKING

Developed an automated attendance tracking system for online classes, focusing on a web scraping bot withSelenium. Led the development of the admin panel in React and the mobile application in Flutter. Received a special appreciation award from the college for being an impactful project.

CROSSROADS ‘23 WEBSITE AND OFFLINE TICKETING SYSTEM

Developed the website for Crossroads '23 and created an offline automation system to streamline ticketing for over 2000 participants. Implemented ID card scanning at entry points to prevent fraudulent re-entry, ensuring secure and efficient event management.

Professional Experience

Software Engineer, QBURST

Jul 2023 - May 2024

  • Reduced load time of frontend web applications by incorporating caching and compression mechanisms
  • Worked on R&D projects experimenting with microanimations using CSS and Javascript
  • Used module federation to split a monolithic React application into different micro frontend applications enhancing better collaboration among cross-functional teams and reducing development time by 20-30%

Flutter Developer Intern, ACCUBITS TECHNOLOGIES

Feb 2021 - Jul 2022

Developed cross platform mobile applications for iOS and Android using Flutter.

Flutter Developer Intern, LEIMO TECHNOLOGIES

Oct 2020 - Jan 2021

Developed the company's primary mobile application, integrating detailed user analytics, improving crash analytics and managing the app end-to-end on the Play Store.

Certifications

  • Machine Learning Specialisation (1 course) - Stanford, DeepLearning.AI
  • Deep Learning Specialisation (3 courses) - Stanford, DeepLearning.AI
  • Diploma in Hardware and Networking - AITMS India