Nov 2021 – Oct 2023 · 1 yr 11 mos · India

• Expanded audience reach by 42% through strategic pricing tiers and enhanced platform compatibility. Developed, courses, quizzes, and FAQs, increasing user satisfaction and engagement by 33%.
• Implemented AI-powered features to offer continuous learning opportunities, boosting interaction by 30%. Integrated ChatGPT-powered Pro Mentor for real time mentorship, which led to continuous improvement in user satisfaction by 25%.
• Analyzed feedback through surveys and analytics, aligning improvements with user needs, resulting in a 20% increase in positive feedback. Focused on affordability and accessibility, catering to diverse user budgets. Conducted workshops and webinars to share insights, fostering growth within the design community. Led a team in developing innovative features that enhanced the user experience.
• Monitored industry trends and emerging technologies to keep ProApp at the forefront of design education. The platform's success is a testament to our commitment to quality and user-centric design principles.
• Managed product development and ensuring compatibility across devices and platforms, enhancing accessibility. Focused on continuous improvement to build a design community of over 500,000 aspiring designers.
• Ensured strategic efforts aligned with user needs and preferences, leading to a 20% increase in retention. Integrated AI-powered features for real time mentorship and support, making the learning process more interactive and efficient.
• ProApp's commitment to advanced technology and user-centric design positioned it as a leading platform in design education. By monitoring industry trends and emerging technologies, we ensured ProApp remained cutting-edge.
• This dedication to innovation and quality made ProApp a trusted resource for aspiring designers worldwide. Our success is reflected in user base growth and positive community feedback.

Nov 2019 – Nov 2021 · 2 yrs · Dhahran Al-Janoub Governorate, Saudi Arabia

• Developed Ariva, an AI assistant for a petroleum company, reducing downtime and increasing efficiency. Analyzed NLP to interpret voice commands, enhancing user interaction and reducing errors.
• Integrated AI algorithms using advanced engineering for malfunction detection, cutting maintenance response time. Implemented security protocols, ensuring 100% data integrity and compliance.
• Led a team to create a system for machinery control and real-time updates. This innovation allowed seamless interaction with machinery using voice commands, regulating speed and torque, and monitoring conditions.
• Prompt malfunction detection reduced downtime and enhanced efficiency. Real-time updates enabled informed decisions, maintaining optimal production, and anticipating issues.
• Focused on robust security to protect data and ensure system integrity. Implemented real-time feedback for continuous monitoring and improvement of machinery performance. This approach facilitated to a secure, reliable operational environment.
• Combined expertise in AI, NLP, and system integration to meet the petroleum company's needs and set a new standard for operational excellence.
• Ariva demonstrated the power of advanced technology in transforming traditional industries, leading to significant efficiency improvements and better decision-making.
• Established the project from concept to implementation, ensuring each phase aligned with strategic goals. Stayed updated with the latest technological advancements, contributing to the project's success.
• Collaborated with the development team to integrate AI algorithms, enhancing Ariva's capabilities. The success developed due to a strong focus on user needs, innovative technology, and commitment to quality.
• The AI assistant's voice command interpretation and real-time updates revolutionized machinery interaction, showcasing AI's potential in industrial applications.

Oct 2018 – Nov 2019 · 1 yr 1 mo · India

• Developed a React Native app for booking consultations. Implemented AI algorithms to analyze medical history, improving diagnostic accuracy. Designed secure data storage, ensuring 100% compliance with industry standards.
• Collaborated with the backend team to integrate AI, enhancing performance and reducing processing time by 20%. Created intuitive UI components for displaying medical history and facilitating doctor-patient interactions.
• Streamlined the booking process based on doctor availability. Guided developers in code reviews, maintaining high quality code and ensuring app reliability. Addressed the design team to create a visually appealing and user-friendly interface.
• Developed AI-powered features that analyzed medical data and implemented real time suggestions to doctors, enhancing patient care.
• Focused on secure data storage to protect user's information, ensuring privacy and compliance. Collaborated with the backend team to integrate AI algorithms efficiently. Created user friendly UI components that displayed medical history, facilitating better doctor-patient interactions.
• Implemented booking functionality based on doctor availability, streamlining the process for users. Facilitated the app's success by ensuring high quality code, reliability, and performance.
• The AI integration improved recommendations and personalized care by allowing doctors to access medical histories comprehensively. This project demonstrated proficiency in React Native, AI integration, secure data management, and collaborative development.
• The app's success highlighted the complex technical requirements and collaborate effectively with various teams. Our innovative approach resulted in a seamless user experience and enhanced medical consultations.
• The app delivered intelligent medical consultations and a seamless user experience. Contributions showcased technical skills, quick problem solving abilities, and commitment to quality and user-centric design.

Feb 2016 – Sep 2018 · 2 yrs 7 mos · Bangalore

• Developed data analysis, predictive modeling, and algorithm projects, improving outcomes by 10%. Enhanced efficiency through skills in Python, Machine Learning, and React Native.
• Won a hackathon with a data visualization solution, showcasing problem-solving and creativity. Collaborated with team members to integrate new technologies into existing systems.
• Led a successful hackathon project that was adopted in multiple projects, demonstrating practical impact. Met with the Chief Technology Officer for strategic guidance, enhancing project direction. Focused on project planning with efficient code, adhering to best practices and industry standards.
• Engaged in continuous learning to stay updated with JavaScript and related technologies, applying new knowledge to drive innovation. Maintained detailed project documentation for knowledge transfer and future development.
• Guided developers in code reviews, providing feedback to improve code quality and performance. Collaborated with cross-functional teams to design and implement new features, enhancing user experience and functionality.
• Implemented machine learning for large dataset analysis, uncovering insights for decision-making. Developed predictive models to improve forecast accuracy and support strategic planning. Optimized algorithms for performance, reducing computational overhead.
• Created interactive data visualizations to make complex information accessible to stakeholders. Designed user-friendly interfaces to enhance application usability and appeal. Delivered high-quality solutions that met user needs and exceeded expectations.