Hamid Abrar Mahir
I am a graduate from Bachelors of Computer Science in Data Science from Monash University.
I bring strong problem-solving, leadership, and communication skills to every project.
As a dedicated self-learner, I am committed to lifelong learning.
Constantly expanding my skillset and exploring new technologies to stay at the forefront of the industry.
Ready to leverage my fast-learning ability and passion for emerging technologies.
Driven to deliver impactful results and contribute to innovative projects.
Skills
Frontend
- React
- Next.js
- Angular
- Tailwind CSS
- Material UI
- HeadlessUI
- GSAP
- Framer Motion
- Figma
Backend
- Node.js
- Express.js
- Django
- Django Rest Framework
- JSON Web Token (JWT)
- Flask
- PostgreSQL
- SQLite
- MongoDB
- Langchain
- Flowise
Data Science & Analytics
- Python
- R
- Scikit-learn
- Pandas
- NumPy
- Tableau
- SymPy
- Matplotlib
- Excel
- PyTorch
- TensorFlow
Cloud & DevOps
- AWS S3
- AWS DynamoDB
- MongoDB
- Firebase Realtime Database
- Git
- GitHub
General Skills
- Data Analysis
- Technical Writing
- Problem Solving
- Restful APIs
- Agile Methodologies
- Collaboration Tools
Key Projects
Click below to learn more about each project.
AttireAlley
AttireAlley is an e-commerce platform for fashion enthusiasts. It offers a wide range of clothing and accessories, providing a seamless shopping experience for users. It also features an AI-powered fashion recommendation system to help users find the perfect outfit.
Tools Used:
- Next.js
- Tailwind CSS
- MongoDB
- Firebase
- And more
Leetcode AI Assistant Extension
A Chrome extension that provides AI-powered assistance for Leetcode problem-solving without giving direct answers. It helps users improve their problem-solving skills through guided hints and explanations using Groq's high-speed inference models.
Tools Used:
- HTML
- CSS
- JavaScript
- Chrome Extension API
- Groq API
Work Experience
Tier 2 Coder: AI Model Trainer - Independent Contractor
- Built and optimized full-stack web applications (React, Next.js, Node.js, Tailwind CSS) for Fortune 500 clients, enabling scalable data pipelines to enhance LLM training and fine-tuning.
- Conducted comprehensive RLHF across multiple projects, directly contributing to model improvements for clients including Meta, OpenAI and other clients
- Specialising in Python, JavaScript, TypeScript, R, HTML, CSS, JavaScript and other web frameworks while maintaining an average of above 4 out of 5 ratings.
- Performed thorough testing and quality assurance of web applications built with JavaScript, React, Next.js ensuring high accuracy and optimal functionality.
- Conducted in-depth reviews of mathematical models using comprehensive Python ecosystem including SymPy, NumPy, Matplotlib, scikit-learn, PyTorch and other machine learning/deep learning libraries for validation of complex calculations and data analysis.
Independent Contractor
- Annotate and label diverse datasets for training advanced AI models, specializing in technical domains including software development, mathematics, and data science
- Evaluate and rank AI-generated outputs using RLHF techniques, directly contributing to model alignment and performance improvements for leading AI companies
- Conduct red teaming exercises to identify model vulnerabilities and biases, particularly in code generation and technical problem-solving scenarios
- Provide expert feedback on AI responses leveraging proficiency in Python, JavaScript, TypeScript, and ML/DL frameworks to enhance model accuracy and capabilities
Data Analyst & UI Design Internship
- Conducted in-depth data analysis in a 400,000-row table with Pandas, Matplotlib and R to derive marketing insights, driving informed decision making.
- Crafted dynamic Visualizations with Matplotlib and IPyWidgets, enhancing the marketing team's ability to make understand the information.
- Applied Gestalt principles in UI/UX design to enhance user engagement and streamline decision processes in Figma.
References:
Education
Bachelor of Computer Science in Data Science
Monash University Australia
Minor: Mobile Apps Development
Data Science
- FIT3164: DATA SCIENCE PROJECT 2
- FIT3152: DATA ANALYTICS
- FIT3163: DATA SCIENCE PROJECT 1
- FIT3179: DATA VISUALISATION
- FIT3181: DEEP LEARNING
- FIT1043: INTRODUCTION TO DATA SCIENCE
- FIT2086: MODELLING FOR DATA ANALYSIS
Computer Science
- FIT1045: ALGORITHMS AND PROGRAMMING FUNDAMENTALS IN PYTHON
- FIT1008: INTRODUCTION TO COMPUTER SCIENCE
- FIT2081: MOBILE APPLICATION DEVELOPMENT
- FIT2004: ALGORITHMS AND DATA STRUCTURES
- FIT2094: DATABASES
Software Development
- FIT2001: SYSTEMS DEVELOPMENT
- FIT2095: E-BUSINESS SOFTWARE TECHNOLOGIES
- FIT1049: IT PROFESSIONAL PRACTICE
Databases
- FIT2094: DATABASES
Security
- FIT3173: SOFTWARE SECURITY
- FIT1047: INTRODUCTION TO COMPUTER SYSTEMS, NETWORKS AND SECURITY
Game Design
- FIT2073: GAME DESIGN STUDIO 1
Mathematics
- MAT1830: DISCRETE MATHEMATICS FOR COMPUTER SCIENCE
- MAT1841: CONTINUOUS MATHEMATICS FOR COMPUTER SCIENCE
Business
- FIT1006: BUSINESS INFORMATION ANALYSIS
- MON3750: MONASH INNOVATION GUARANTEE SB
Usability
- FIT3175: USABILITY