Product Manager at RydeProAt RydePro, we are on a mission to redefine urban transportation by developing a seamless ride-sharing experience through cutting-edge technology. As the Product Manager, I play a central role in driving the development of both our web and mobile applications, ensuring we deliver a user-centric, scalable, and innovative solution for our customers.Key Responsibilities:End-to-End Product Development: Spearheading the design and implementation of our web and mobile platforms, ensuring alignment with user needs and market demands.Team Leadership: Managing cross-functional teams, including engineering, design, marketing, and customer support, to foster collaboration and deliver high-quality results.Strategic Road mapping: Defining the product vision and roadmap, prioritizing features based on user feedback, business goals, and technical feasibility.Stakeholder Collaboration: Acting as a bridge between stakeholders, from executives to end-users, to align goals and maintain transparency throughout the development cycle.Agile Management: Facilitating agile workflows, ensuring timely delivery of product milestones, and adapting strategies to evolving market trends.Quality Assurance: Overseeing rigorous testing processes to maintain high standards of functionality and user experience across platforms.Data-Driven Decision Making: Leveraging analytics and user insights to refine features, optimize performance, and enhance customer satisfaction.

Software Engineering Fellow at Headstarter AI As a Software Engineering Fellow at Headstarter AI, I had the privilege of working on transformative projects that leverage artificial intelligence to solve real-world problems. This fellowship allowed me to deepen my technical expertise, collaborate with a diverse team of innovators, and contribute to impactful AI-driven solutions.Key Contributions and Responsibilities:AI-Powered Development: Designed and implemented AI-driven applications, including customer support chatbots and complaint categorization systems, using technologies such as OpenAI, Pinecone, and vector databases.Full-Stack Engineering: Built and optimized both frontend and backend solutions using frameworks like Next.js, React, Python, MongoDB, Open Ai APIs, Firebase and many more ..Collaboration and Teamwork: Worked closely with a global team of engineers, designers, and product managers to deliver high-quality, scalable projects.Prototyping and Deployment: Rapidly developed MVPs and deployed solutions on platforms such as AWS and Vercel, ensuring robust performance and user satisfaction.Agile Methodologies:*Adopted agile practices, including sprint planning, daily stand-ups, and iterative development, to ensure timely project delivery. Data-Driven Problem Solving: Leveraged machine learning algorithms and data analytics to enhance the functionality and efficiency of AI models.Impact:- Gained hands-on experience in cutting-edge AI and machine learning technologies. - Delivered scalable, real-world solutions that improved business operations and user experiences. - Enhanced my skills in full-stack development, team collaboration, and problem-solving under mentorship from industry experts.

Designed and developed Agriconnect App, an innovative agriculture collaboration platform that bridges the gap between farmers and professionals. The platform empowers farmers to connect with agricultural experts, share real-time information, and leverage AI for crop disease diagnosis.Key Contributions:Frontend Development: Implemented a responsive and intuitive user interface using React.js, ensuring a seamless experience for farmers and professionals. Translated design concepts into functional components, creating an aesthetically pleasing and user- friendly application.Figma UI Design: Utilized Figma to design and prototype the user interface, incorporating industry best practices and ensuring a visually cohesive and engaging experience.Backend Development: Engineered the backend using Node.js and Express.js, establishing a robust foundation for scalable and real-time communication. Integrated MongoDB to efficiently manage diverse agricultural data, enhancing the platform's flexibility. AI Integration: Leveraged TensorFlow.js for on-device machine learning capabilities, enabling farmers to scan crop diseases and receive instant analysis results. Orchestrated backend APIs for seamless communication with external machine learning services, enhancing the platform's analytical capabilities.