India
I'm a software engineer with a strong foundation in building scalable, high-performance applications—now expanding my focus toward product thinking and user-centric development. At Gigamon, I contributed to the development of the Product "Fabric Manager", where I collaborated cross-functionally to define feature requirements, resolve critical bugs, and support new feature rollouts. My work involved integrated testing, sprint planning, and managing code repositories, all while ensuring timely and quality delivery. Previously at Nokia, I gained hands-on experience in object-oriented design, REST API development, and database modeling. These experiences sharpened my ability to translate technical requirements into functional solutions that align with business goals. Currently, I'm deepening my product management skills through the Airtribe Product Management Fellowship, where I'm learning to apply frameworks for user research, product strategy, and roadmap planning. I'm also working on side projects and case studies that reflect my growing interest in solving real-world problems through thoughtful product design. I bring a unique blend of technical depth and emerging product intuition—driven by a passion for building solutions that create real value for users. I'm excited to continue bridging the gap between engineering and product, and to contribute to teams that value innovation, collaboration, and user impact.
Developed and enhanced the Product Fabric Manager, supporting new feature requests and resolving embedded-side bugs. Conducted integrated testing using Java Spring framework, strengthening product reliability. Expanded expertise in MongoDB and networking fundamentals while delivering backend features. Led sprint and milestone delivery, coordinating with cross-functional teams to ensure timely releases. Managed code versioning and branching processes to streamline collaboration and improve code management. Troubleshot and fixed QA-reported bugs as part of daily development activities.
▸ Owned the product roadmap for Fabric Manager, defining and prioritizing features that drove 20% higher user adoption in release validation cycles — improving core workflow efficiency for network operations teams. ▸ Led sprint planning and release coordination across engineering, QA, and design; reduced release cycle time by 22% by restructuring backlog grooming and unblocking cross-team dependencies. ▸ Built and shipped automated dashboards tracking QA coverage and release health, giving stakeholders real-time visibility into release readiness and improving defect detection rates by 30%. ▸ Drove resolution of 15+ high-severity platform issues by triaging with QA and engineering, increasing platform stability by 18% and reducing post-launch incidents for enterprise customers. ▸ Identified and delivered 3 critical workflow enhancements by conducting user interviews and analyzing support patterns — enhancements were adopted across all active internal teams within one quarter. ▸ Defined and enforced branching and code integration standards, reducing merge conflicts by 28% and improving predictability of sprint velocity. ▸ Onboarded 6+ new team members through structured technical knowledge sessions, reducing ramp-up time and improving early-stage contribution quality.
As a Student Intern, I gained experience in object-oriented design and development, data structures, and designing and implementing RDMS using Java. I worked with REST APIs, HTTP protocols, and the Spring framework to develop and deploy scalable applications. Throughout the software development life cycle, I collaborated with colleagues to ensure successful project outcomes.
▸ Contributed to requirements scoping and backend feature delivery for 3 on-time module launches; developed RESTful APIs in Spring Boot enabling scalable product functionality. ▸ Optimized critical MySQL queries, reducing backend latency by 30% and improving real-time UX — directly improving feedback scores from product stakeholders. ▸ Collaborated with design and QA teams to translate user stories into production-ready features, accelerating iteration cycles between discovery and delivery.