Hi, I'm Farhan Sadik
Software Engineer
I design and develop scalable, user-focused web applications using React, Next.js, Angular, TypeScript, and Python, complemented by cloud technologies such as Firebase and AWS. I focus on building maintainable software, integrating REST APIs, and delivering high-quality solutions through modern engineering practices.
About Me
A glimpse into my professional journey, strengths, and what drives me as a software engineer.
I'm a Computer Science graduate with professional experience building robust healthcare applications. My journey is defined by a passion for continuous learning and delivering impactful digital solutions.
I have a demonstrated ability to quickly learn unfamiliar technologies and contribute across both frontend and backend systems in Agile environments. I leverage tools like Angular, Python, Firebase, and AWS to build scalable architectures.
I heavily utilize AI-assisted development tools to improve productivity, while always validating correctness through rigorous testing, debugging, and code reviews to ensure secure and maintainable codebases.
Core Strengths
Software Engineering, Data Structures & Algorithms, REST API Development, Agile Development, and analytical problem solving.
Tech Stack
Angular, React, Next.js, Python, Node.js, Firebase, AWS Lambda, TypeScript, and modern AI-assisted development tools.
Education
Bachelor of Science in Computer Science & Engineering (B.Sc. CSE)
BRAC University
Jun 2021 – May 2025
Relevant Coursework
Data Structures & Algorithms, Software Engineering, Object-Oriented Programming, Database Systems, Computer Networks, System Analysis & Design, and Natural Language Processing.
Work Experience
My professional journey and the impact I've made across different organizations.
Graduate Engineer
- Developed and maintained healthcare web applications using Angular, Python, Firebase Cloud Functions, and REST APIs while contributing across both frontend and backend modules.
- Worked closely with senior engineers during Agile development, participating in code reviews, debugging, documentation, technical discussions, and feature planning while continuously improving code quality and maintainability.
- Used AI-assisted development tools to accelerate implementation while validating generated code through testing, debugging, and manual review to ensure correctness and security.
Software Engineer Intern (Python & AWS)
- Quickly learned new technologies including Firebase Cloud Functions, AWS Lambda, and Angular to implement scheduled push notifications, backend validation, API integration, and automated workflows.
Technical Skills
A comprehensive overview of my technical expertise and the tools I use to build digital solutions.
Frontend
Backend
Databases
Cloud
Languages
AI Tools
Development
Concepts
Practices
Featured Projects
A selection of my recent work, highlighting complex problem-solving and modern web development practices.
Academic Journal Publish Website
Built a full-stack academic journal platform supporting end-to-end workflow: submission → peer review → editorial decision → copyediting → publication. Integrated Google OAuth with role-based access and promotion system. Enabled real-time manuscript tracking, email notifications, and manual payment processing via bank transfer.
Tailor Maven
Developed an online tailoring platform with 3D suit previews, real-time customization using React Three Fiber, and live chat. Integrated Stripe payment gateway and OAuth2.0 login system for secure and seamless transactions.
Neeramoy Digital Services Ltd.
Implemented scheduled push notifications, backend validation, REST API integrations, Google Analytics 4, and enhancements to the clinic attendant module while contributing to healthcare web applications built with Angular, Python, Firebase, and AWS Lambda.
Achievements & Recognition
Awards, certifications, and contributions to the tech community.
A Deep Learning Approach of Translating Speech into 3D Hand Sign Language (ASL)
Proposed a deep learning pipeline to convert speech into 3D ASL animation using speech-to-text, gloss translation, keypoint mapping, and sequence modeling trained on the How2Sign dataset.Utilized Whisper, BART, MarianMT, OpenPifPaf, RTMPose3D, ResNet50, MediaPipe, and LSTM for accurate 3D hand sign generation.Read Paper
Capture The Flag (CTF) Competitions
• Ranked 8th in the final round of BUET CTF 2024, organized by BUET Cybersecurity Club.• Secured 5th place in the final round of EWU CTF 2024, hosted by East West University Robotics Club.
Resume
View my full work history, education, and technical skills.
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Get In Touch
Have a project in mind or want to discuss opportunities? I'd love to hear from you.