Jul 2024 – Nov 2024 · 4 mos · Bengaluru, Karnataka, India · Hybrid

• At Intel, I worked on developing and enhancing the Intel Edge Orchestrator platform, a robust edge computing solution designed to simplify the deployment and management of cloud-native services across diverse edge locations.
• I contributed to the platform's overall architecture by integrating monitoring and logging solutions, such as Grafana and Kubernetes-native tools, into the deployment scripts to provide real-time performance insights. Additionally, I conducted a proof-of-concept (POC) implementation to integrate K8sGPT for advanced diagnostics and real-time monitoring, significantly improving the platform's reliability and observability.
• I also worked on deploying AI applications on the Orchestrator platform, enabling seamless integration and scalability of AI workloads at the edge. This included optimizing deployment pipelines and ensuring efficient resource utilization to handle diverse AI models and workloads across edge devices.

Aug 2022 – Jul 2024 · 1 yr 11 mos · Gurugram, Haryana, India

• Key contributions include integrating Apache Kafka to manage real-time streaming of inventory and stock data across multiple locations. I designed a system capable of handling high-velocity transaction data, ensuring seamless updates of inventory levels and stock availability while achieving improved scalability and reduced processing latency.
• I also built a dynamic report generation system that retrieves and processes data from transaction logs, databases, and external sources. To enhance user experience, I added a GPT-powered layer, enabling natural language queries to be translated into SQL, generating precise and customizable reports in formats like PDF and CSV.
• In addition, I developed an invoice parser using Python, incorporating OCR and NLP to automate the extraction of key invoice data. This significantly improved accuracy and operational efficiency in data interpretation.
• As part of my achievements, I was recognized as the top performer for Q3 2023 for my exceptional contributions and leadership. I played an instrumental role in scaling the team from 3 to 10 members, mentoring and onboarding new hires. I also led multiple proof-of-concepts and consistently delivered features ahead of deadlines, contributing to the success of various projects.

Jan 2022 – Jul 2022 · 6 mos

• At NCR Corporation, I was part of the development team for the NAYS application, where I worked on tasks assigned through Jira stories and regularly updated the scrum master during daily stand-up calls.
• I was actively involved in developing the Download Center (DLC) from scratch, a core product of NCR Corporation. The platform served as a centralized repository, enabling NCR employees and clients to download the applications they needed. My responsibilities included designing and building an interface that allowed users to seamlessly download files while providing admins with the functionality to upload and manage files efficiently.