Aug 2023 – Present · 2 yrs 7 mos · Bengaluru, Karnataka, India

• Projects:
• 1. Litmus – Gojek’s in-house experimentation platform powering feature experimentation at scale.
• 2. Meteor – Data ingestion and metadata extraction framework.
• 3. Compass – Internal data discovery and catalog system.
• Tech Stack Used: Golang, PostgreSQL, gRPC, Protobuf, Kubernetes, GitLab CI, BigQuery, MaxCompute, REST APIs, Terraform
• 1. Architected and Delivered Switchback Experimentation support, designing and enabling cyclical and randomized experiments; introduced new data models, validation logic, and integrating traffic routing, audit tracking, rule enforcement, backend orchestration using Go and PostgreSQL.
• 2. Spearheaded Data Sync from design to deployment, building a resilient sync mechanism that aggregated experimental data aggregation, retry logic and published insights to BigQuery and Kafka, scheduled via Kubernetes CronJobs.
• 3. Enhanced the Experiments API, introducing dynamic query param filtering and date-based constraints. Integrated robust validation, accurate response shaping and ensured backward-compatible schema updates for consumers.
• 4. Engineered a MaxCompute metadata extractor plugin in Golang for Meteor as part of Gojek’s cloud migration from GCP to Alicloud, supporting lineage tracking, P0 metadata extraction, and live integration testing on Alibaba Cloud.
• 5. Automated stale asset cleanup in Compass using custom Golang scripts with whitelist logic, significantly improving asset hygiene and discovery efficiency across environments.
• 6. Strengthened platform through extensive unit and integration test coverage, Protobuf schema versioning, refining gRPC communication contracts, and real-time debugging. Contributed to test stabilization and observability via pprof profiling and structured logging.
• 7. Authored internal documentation for experimentation architecture, including Hierarchical, Orthogonal, and Switchback models. Collaborated with PMs and cross-team engineers to drive adoption and alignment across use cases.

Jul 2022 – Aug 2023 · 1 yr 1 mo · Bengaluru, Karnataka, India

• Project: Mercury, An in-house campaign manager platform for marketers to manage marketing campaigns
• Tech Stack Used: Golang, PostgresQL, Kafka, Kubernetes, Terraform, BigQuery, GCP, Git.
• 1. Led end-to-end implementation of In-App campaigns, overseeing RFC conceptualization, driving comprehensive backend development using Golang, and incorporating distributed systems and microservices for scalability and fault tolerance.
• 2. Developed a high-performance DB proxy layer with caching and query optimization, improving system efficiency by 35%. Utilized PostgreSQL as the underlying database.
• 3. Utilized coding design patterns and principles, such as builder pattern, to enhance maintainability and reusability of HTTP APIs, resulting in a 15% improvement. Implemented Kafka as a message broker for asynchronous microservice communication.
• 4. Enhanced code quality via integration test refactoring, proactive linter warning resolution, and performance optimization strategies. This involved load test modifications, improved caching, service health profiling (pprof), and efficient refactoring techniques.
• 5. Achieved a 95% bug resolution rate within 24 hours for critical production bugs in the Campaign Manager service, ensuring uninterrupted operation and high user satisfaction.
• 6. Demonstrated adaptability by effectively handling diverse ad hoc tasks assigned by the team.