Sep 2024 – May 2026 · 1 yr 8 mos · Bengaluru, Karnataka, India · On-site

• Architected and led development of a multi-tenant analytics data synchronization pipeline, routing data from our systems to destinations like
• Redshift, Power BI, and Tableau via AWS S3, Lambda, and Temporal workflows.
• Designed polymorphic Temporal workflows dynamically tailored to each data destination, improving pipeline flexibility and cutting maintenance
• overhead by 60%.
• Built integrations for JAMF and Oracle HCM, enabling automated asset and HR data sync using SpringBoot APIs and secure authentication
• constructs.
• Developed a self-healing CI/CD pipeline using LLMs to auto-correct build failures and re-trigger tests, reducing manual debugging time.
• Created and compared frameworks for LLM testing and evaluation (LangSmith, Langfuse, MLflow), improving evaluation throughput by 40%.
• Led a team of three engineers; conducted onboarding, code reviews, and architectural design discussions with the stakeholders.
• Built and deployed analytics dashboards like Request Aging and Change Analytics, leveraging Redshift APIs and Temporal workflows to automate
• report exports.

Mar 2024 – Sep 2024 · 6 mos · Bengaluru, Karnataka, India · On-site

• Developed fuzzy search-based indexing to enhance website discoverability and reduce average response time by 70%.
• Created a Python-based Online Test Engine for Proctoring, automating evaluation against test cases.
• Collaborated with robotics engineers on a Micromouse maze-solving robot using flood-fill and error-tuned navigation algorithms, achieving 2x
• faster path resolution.

Jul 2023 – Mar 2024 · 8 mos

• Re-architected company’s data infrastructure into a centralized patent repository using Neo4j, Postgres, and Python.
• Built and federated GraphQL APIs with Apollo + Hasura, cutting query latency by 80%.
• Designed AWS S3 workflows for backup, synchronization, and alert-based notifications.
• Implemented Sentry and Monnit for observability, reducing performance issues and downtime.

Jan 2023 – Jun 2023 · 5 mos

• Migrated relational data to a graph-based Neo4j repository, eliminating redundancy and improving query speed 4x.
• Enhanced internal data access patterns, improving cross-team reporting efficiency.