Arjun Gambhir

Developed an AI-powered travel assistance platform leveraging LLMs and external data providers to generate personalized, real-time recommendations for hotels, places, and activities.

Designed and implemented a modular, agent-driven architecture utilizing Google Agent Development Kit and internal MCP components to orchestrate LLM-based agents and downstream actions.

Integrated with external services, including Google Places API, and developed Activities MCP and internal agent wrappers to ensure modular, reusable service components.

Engineered backend services using Kotlin, supporting scalable and maintainable development within a service-oriented architecture for structured orchestration.

Instructed and mentored aspiring software developers, helping them build foundational and advanced programming skills.

Designed and led workshops focused on coding best practices, data structures, algorithms, and system design.

Provided personalized guidance on career development and interview preparation, contributing to student placement success.

Evaluated student projects and assignments, offering detailed feedback to refine their technical solutions and problem-solving abilities.

Provided comprehensive instruction and mentorship to students, guiding them through complex programming concepts and projects.

Assessed student progress and provided constructive feedback, significantly improving their understanding and technical proficiency.

Developed and delivered engaging instructional materials, tailored to diverse learning styles and technical backgrounds.

Facilitated problem-solving sessions and code reviews, enhancing students' practical application of software development principles.

Led the reconciliation and recovery of over 3 million faulty records, implementing robust safeguards that improved overall data integrity across the platform and prevented recurrence.

Drove a critical AWS migration from on-prem to cloud, successfully mentoring 20+ microservices and ensuring minimal downtime and a smooth transition.

Designed and implemented a centralized error handling framework with a unified dashboard, significantly improving observability and reducing debugging/issue resolution time by 25%.

Transformed multiple service components into configuration-driven modules, enabling dynamic updates via a config server and reducing deployment dependencies by 15%.

Enabled a blue-green deployment strategy across services, ensuring zero-downtime releases and safer production rollouts for critical banking applications.

Developed backend services and features supporting large-scale storage and collaboration platforms utilized by millions of users worldwide.

Built automation workflows for hardware lifecycle management (onboarding and decommissioning), reducing manual intervention by 30% and improving operational efficiency.

Implemented garbage collection and cleanup mechanisms to optimize storage utilization and maintain system health across petabytes of data.

Contributed to auto-detection and resolution of system issues, improving platform reliability by 20% and reducing operational overhead.

Collaborated with cross-functional teams to enhance backend services and support high-scale production environments, ensuring seamless operation for critical user data.

Built a predictive system to identify customers likely to raise complaints due to held funds, leveraging historical data and behavioral patterns.

Enabled early detection and proactive alerts, leading to a significant improvement in customer experience and reduced complaint volume.

Designed a data-driven architecture with RESTful services for generating alerts and predictions, processing large-scale data using Hadoop, Teradata, Apache Spark, and ML models.

Contributed to behavioral insights and data processing at scale, supporting critical business decisions and automated interventions.

Developed and maintained critical components of the Retirement Investment System, enhancing functionality and user experience.

Collaborated with senior engineers to implement new features and optimize existing modules for improved performance and scalability.

Participated in code reviews and testing processes to ensure high-quality software delivery and adherence to industry best practices.

Assisted in troubleshooting and resolving system issues, contributing to the stability and reliability of the investment platform.

Developed and optimized software components for the Vocollect Voice Solution, improving warehouse management efficiency.

Contributed to the design and implementation of new features, enhancing the voice-directed workflow for industrial applications.

Collaborated with cross-functional teams to integrate voice solutions with existing warehouse management systems.

Participated in the full software development lifecycle, from requirement gathering to testing and deployment, ensuring robust system performance.

Implemented key features and enhancements for the Vocollect Voice Solution, contributing to improved warehouse productivity.

Assisted in debugging and resolving software defects, ensuring high system reliability and continuous operation.

Worked on optimizing system performance and responsiveness for real-time voice-directed tasks.

Gained foundational experience in industrial software development and large-scale system integration.