Jay Chauhan

Currently developing and optimizing high-performance mobile applications, specializing in real-time data management and UI/UX enhancements to deliver seamless user experiences.

• Implemented StreamBuilder and Provider to efficiently manage over 500+ concurrent real-time stock price updates per minute, ensuring seamless market monitoring for a Trading App.
• Leveraged Provider for optimized state management across 40+ UI components, reducing UI rebuilds by 30% and significantly improving overall app performance.
• Designed and developed custom data visualization components to display 100+ real-time stock tickers with minimal lag, enhancing users' ability to make informed trading decisions.
• Optimized app performance using Flutter's reactive framework, achieving load times under 2 seconds on both iOS and Android platforms.

Contributed to UI/UX enhancements and performance optimization for Flutter applications, ensuring high-quality project delivery within an agile development environment.

• Collaborated with senior developers to enhance UI/UX in Flutter, increasing user engagement by 15% based on internal feedback.
• Improved app performance by debugging and optimizing Flutter code, successfully reducing app crashes by 25%.
• Participated in 3 major Agile sprints, maintaining a 100% on-time delivery rate and consistently meeting all project milestones.

Founded and led a university-based Google Developer Student Club, driving significant membership growth and fostering a vibrant community through educational initiatives and industry engagement.

• Founded and led Google DSC on campus, achieving 191.8% growth in membership through 10 successful events.
• Organized 10+ peer learning sessions, engaging over 120 community members and showcasing strong communication and leadership skills.
• Cultivated 5+ partnerships with organizations and hosted 3+ industry speaker sessions for 120+ club members, enhancing professional networking opportunities.

Developed an efficient, browser-based facial recognition attendance system that significantly improved tracking speed and functionality.

• Created an efficient browser-based Face Recognition attendance system using Django, Python, and OpenCV, demonstrating a 74% increase in processing speed.
• Designed the system to effortlessly store attendance data and incorporate additional features for enhanced functionality and user experience.

Developed a comprehensive trading application focused on real-time market monitoring and informed decision-making for enhanced user experience.

Created a trading screener application providing live market data access, trend analysis, and personalized news for enhanced trading decisions.

Developed a cross-platform event management platform (inspired by Amazon and Swiggy) using Flutter for the frontend and Firebase for an efficient, scalable backend.

Developed an ERP mobile application integrating client support and financial tools to streamline workflows for financial brokers.

Recognized as Employee of the Month at AnvTech, acknowledging outstanding performance and contributions to the team.

Recognized as a runner-up in a competitive hackathon, demonstrating strong problem-solving and technical skills.

Earned badges through Google challenges, demonstrating practical skills and knowledge in Google Cloud technologies.

Achieved a 3-star rating on HackerRank for proficiency in Data Structures and Algorithms, showcasing strong foundational computer science knowledge.