Aman Sharma is a Senior Software Engineer with six years of experience specializing in front-end and hybrid mobile application development using Angular, TypeScript, Ionic, and Angular Material. Currently building reporting solutions for Morgan Stanley FDC at Accolite, he combines enterprise product delivery experience with a practical full-stack background from earlier roles and internships, including JPMorgan Chase virtual work. Aman is an active open-source contributor focused on educational beginner-friendly projects—his Hacktoberfest repository demonstrates a knack for translating concepts like OOP and neural nets into approachable examples for learners. Based in Karnataka, India, he pairs formal engineering training with freeCodeCamp and React-focused upskilling, showing continuous learning across web and mobile stacks. Colleagues know him for shipping polished user interfaces and bridging mobile/web implementations in hybrid environments.
7 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering - BE, Computer Science & Engineering, Bachelor of Engineering - BE, Computer Science & Engineering at NSHM College of Management and Technology
Bachelor of Technology, Computer Engineering, Bachelor of Technology, Computer Engineering at Maulana Abul Kalam Azad University of Technology, West Bengal formerly WBUT
Full Stack Web Development Certification, Full Stack Web Development Certification at freeCodeCamp
Front End Web Developer, React JS-Trainee, Front End Web Developer, React JS-Trainee at EdYoda Digital University
This Repository is for Hacktoberfest absolute beginners guide
Role in this project:
Full-stack Developer
Contributions:147 reviews, 170 commits, 85 PRs in 1 year
Contributions summary:Aman primarily contributed to the repository by modifying and renaming Python files containing various Python concepts. They updated existing code examples, including those related to object-oriented programming, arrays, and string manipulations. Furthermore, the user's commits include changes to a neural network implementation and other Python-based projects. The changes reflect a focus on educational content aligned with beginner-friendly open source contributions.
Contributions:14 commits, 10 pushes, 3 branches in 8 months
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