Feb 2025 – Jan 2026 · 11 mos · Bentonville, Arkansas, United States · Hybrid

• Building backend infrastructure for the Outbound Order Optimization team in International Supply Chain, powering millions of orders across global markets.
• I design and deploy production microservices in Java/Spring Boot that orchestrate complex order fulfillment workflows, handling high-throughput traffic with strict SLA requirements. On the data side, I build Spark pipelines orchestrated through Airflow, processing terabytes of order and inventory data on GCP.
• Key contributions include implementing event-driven architectures using Kafka for real-time order processing, and building observability solutions with Grafana, Prometheus, and ELK that reduced MTTD by 60%.

Mar 2024 – Sep 2024 · 6 mos · Chicago, Illinois, United States

Jan 2024 – Feb 2025 · 1 yr 1 mo · Irvine, California, United States

• Built the infrastructure layer for enterprise AI agents as part of the founding engineering team—systems that execute complex, multi-step tasks autonomously while maintaining reliability and auditability.
• I designed Agents VM, a secure runtime for executing long-running, stateful AI agents with tool calling, memory persistence, retry logic, and fault isolation. This required architecting backend microservices in Golang and Python to manage the complete agent lifecycle: creation, execution, pause/resume, and versioning.
• I also developed Agent Flow, an orchestration platform for composing multi-agent workflows with conditional logic and human-in-the-loop approvals. Integration work included connecting multiple LLM providers (OpenAI, Anthropic, Azure OpenAI) with structured output parsing and tool schema validation for deterministic agent behaviors.
• This role proved that production AI systems demand the same engineering rigor as distributed systems—reliability, observability, and fault tolerance aren't optional when agents make real business decisions.

May 2023 – Jul 2023 · 2 mos · New York, United States · Remote

• I integrated in-house video conferencing with whiteboard functionality, boosting team collaboration by 20%. I also engineered a scalable AWS backend infrastructure, improving system reliability by 40%, and developed APIs that reduced client request response times by 40%.

Jul 2020 – Aug 2022 · 2 yrs 1 mo · Bangalore Urban, Karnataka, India

• I played a key role in developing and enhancing various integration applications, which contributed significantly to company growth and customer satisfaction. My work included creating a HubSpot-integration application that led to onboarding 65 new customers monthly and streamlining deployment processes to ensure scalability and efficiency. I improved middleware services, collaborated with the product team to enhance user experiences, and introduced new functionalities that increased product usage by 32%. Additionally, I demonstrated strong problem-solving skills by quickly resolving production issues and implemented strategies to maintain zero downtime.

Dec 2018 – Feb 2019 · 2 mos · Chennai, Tamil Nadu, India

• Employed advanced web scraping techniques utilizing BeautifulSoup, demonstrating a keen ability to extract targeted data from selected websites. Additionally, proficiently navigated sites with dynamic content, employing Selenium for precise data extraction.
• Demonstrated expertise in data cleaning and formatting, ensuring datasets were of optimal quality for subsequent analysis and modeling processes.
• Implemented data wrangling techniques to handle missing values, outliers, and inconsistencies, resulting in more robust and reliable datasets.