• Built a production-grade data stewardship platform for credit-risk assessment, enabling 50+ reviewers to process 3,000+ company records per day by implementing FastAPI services, React UI, Snowflake pipelines, and AWS ECS with EFS.
• Developed ETL pipelines and backend services using Python (Flask, FastAPI) and Node.js.
• Optimized data ingestion pipelines, reducing cloud costs and improving throughput.
• Implemented REST APIs and event-driven microservices for customer-facing applications.
• Built monitoring and alerting systems using Grafana and AppDynamics.
• Managed deployments on AWS and GCP using Docker and Kubernetes.
• Ensured code quality with automated testing and CI/CD pipelines.
• Designed and deployed FastAPI microservices, React UI, and Snowflake pipelines integrated with AWS ECS and EFS.
• Standardized non-overlapping review workflows to optimize reviewer efficiency and reduce process redundancies.
• Delivered an anomaly-detection and audit system that logged actions, published KPI summaries, and triggered real-time duplicate alerts.
• Enhanced oversight and proactive intervention on suspicious data through automated monitoring and dashboards.

• Developed a CDC-based ETL pipeline for battery data, integrating TimescaleDB and a GraphQL-driven NestJS backend to improve analytics accuracy.
• Reduced AWS cloud costs by 75% through indexing, lifecycle policies, AWS SQS migration, and resource optimization.
• Built a metrics dashboard in Grafana and CloudWatch to monitor product usage, improving retention and customer engagement.
• Developed a Go-based file synchronization agent with goroutines, ensuring concurrent and reliable data transfer from lab servers to AWS S3.
• Developed background processes and file synchronization tools using Golang.
• Built REST APIs and event-driven services for distributed systems.
• Implemented Kafka-based pipelines for reliable message delivery with idempotency.
• Designed monitoring systems using Grafana for real-time metrics tracking.
• Worked on cloud deployments leveraging AWS and GCP.
• Enhanced system performance, throughput, and robustness for integration services.
• Implemented scalable monitoring systems to support production workloads.

• Led a team of 4 engineers to build robust CRM integrations with HubSpot, Zoho, and Asana using Kafka, Aerospike, Spring Boot, and Next.js, generating $3M+ opportunities.
• Built write-back functionality to auto-sync platform leads with customer CRMs, reducing manual reconciliation by 90% and response times by 75%.
• Implemented dead-letter queues with Aerospike retry logic, cutting message loss to <5 per month and reducing bug-fix overhead by 80%.
• Designed CRM-specific throttling with Spring schedulers, lowering API rejection errors by 95% and stabilizing latency.
• Applied Kafka to publish/consume events for large-scale integrations, using dead-letter queues for fault tolerance.
• Designed RESTful microservices and event-driven APIs using Java and Kafka.
• Implemented high-performance message processing with dead letter queues and idempotency controls.
• Integrated multiple third-party systems for clinics and small businesses.
• Set up cloud deployments on AWS and GCP, leveraging serverless and traditional strategies.
• Applied robust monitoring and debugging for production APIs under high traffic.
• Optimized system performance and maintained reliability across distributed services.

Software Engineer II 

• Developed the Favorites Framework using MongoDB, Spring Boot JPA, and Redis Cache, reducing user navigation efforts by 80% and improving overall user experience.
• Collaborated with product management and UX teams to gather requirements and deliver user-focused features and enhancements.
• Engineered an integration between the Harness platform and Google Cloud Build via the gRPC framework, leveraging Harness delegates for build triggers, log streaming, and build cancellations.
• Spearheaded a security overhaul by updating 30+ vulnerable libraries, implementing a Java migration roadmap, and reinforcing SOC2 compliance.
• Built distributed systems and advanced authentication frameworks by integrating LDAP, SAML, SCIM, OAuth, and SSO, enabling seamless logins through Okta, OneLogin, Azure AD, and Google.
• Improved Harness Community Edition performance by 20% through MongoDB indexing and performance monitoring with MongoDB Atlas.
• Worked in the Special Projects Group (SPG) to implement critical customer requests with fast turnarounds, ensuring customer retention, deal renewals, and high satisfaction.

Software Engineer

• Developed a Performance Testing Framework on Locust and a Flask application to capture and visualize metrics from AppDynamics, application data, and Locust, enabling early detection of anomalies before production.
• Conducted code reviews and mentored junior engineers, driving improvements in code quality and maintainability.
• Actively participated in Agile ceremonies including sprint planning, stand-ups, and retrospectives, fostering collaboration and iterative delivery.
• Built backend microservices using Java (Spring Boot, Dropwizard) for a DevOps platform.
• Developed authentication and audit services integrating SCIM, LDAP, and SAML.
• Broke down monolithic services into distributed microservices for scalability.
• Managed REST API development for platform features serving 40,000+ users.
• Implemented messaging and event-driven systems using Kafka and Redis.
• Deployed and maintained services on AWS and GCP with Docker and Kubernetes.
• Conducted performance optimization, debugging, and monitoring using Grafana and AppDynamics.
• Collaborated with cross-functional teams to deliver high-quality, scalable solutions.

Software Engineer Intern 

• Automated end-to-end P0 scenarios using Selenium and RestAssured, integrating them into CI/CD pipelines with TestNG.
• Contributed to the NextGen Secret Management module of Harness’ CI/CD platform.
• Implemented a Slack-based alerting system that tagged code owners when automation tests failed, improving issue response time.

Performance Bottleneck Identifier | Flask, Python, React, Redis, Docker, Google Build, Kubernetes, AppDynamics, Locust

• Developed a full-stack application to identify SDLC performance bottlenecks by integrating monitoring tools, setting up alarms, and generating alerts for engineering teams.