$ whoami
As a passionate software engineer, I enjoy turning complex problems into simple, creative and intuitive solutions. I’m open to explore new technologies outside my comfort zone. I’m a strong team player who always acts with integrity. When conflicts arise, I get down to first principles. I value the most at my workspace - honesty, autonomy and ownership.
Experiences
- Scalable Backend Development: Developed and deployed multiple Go-based web services on AWS/GCP, ensuring seamless integration with cloud-native infrastructure.
- Workflow Automation: Streamlined business operations by engineering automated logic pipelines using Python and JS webhooks, reducing manual processing overhead.
- Data Engineering & ETL: Developed automated data pipelines in Python to ingest and refine external datasets, generating high-fidelity business intelligence reports on Google Cloud Platform (GCP).
- Cloud Architecture: Deployed scalable, end-to-end CRUD REST APIs using Go and AWS, leveraging AWS Lambda, Serverless Framework, and DynamoDB.
- Infrastructure as Code (IaC): Architected a multi-tenant public API using Golang, managed via Terraform for automated provisioning on GCP (Cloud Run) and secured with Cloud Armor.
- Workflow Automation: Optimized complex business logic pipelines by implementing high-performance Python and JavaScript webhooks, reducing manual intervention and processing latency.
- Operational Excellence: Established proactive production monitoring using cloud-based dashboards, automated alarms, and notification systems to ensure high service availability.
- Technical Leadership: Accelerated team integration by onboarding new engineers and authoring comprehensive technical specifications and E2E testing protocols.
- Big Data Integrity: Developed a proprietary Python framework for large-scale data validation, ensuring high-fidelity processing within ElasticSearch data pipelines.
- API Engineering: Built internal microservices using FastAPI and Flask, strictly adhering to OpenAPI (Swagger) specifications for standardized documentation.
- Data Validation: Implemented rigorous type-safety and data-parsing layers using Pydantic, Mypy, and Pydantic-CLI to eliminate runtime anomalies.
- Advanced Analytics: Automated the generation of complex, multi-dimensional stakeholder reports by leveraging Pandas, PostgreSQL, and XlsxWriter.
- Quality Assurance: Achieved high code reliability by architecting comprehensive unit testing suites with Pytest.
- DevOps & Tooling: Developed Python-based automation for Linux patch management and created a Docker-based production simulation environment to accelerate the development lifecycle.
- Agile Execution: Leveraged Agile/Scrum methodologies and JIRA to streamline the Software Development Lifecycle (SDLC) and ensure timely delivery of high-quality software.
- Mentorship & Training: Served as a core member of the internal training team, mentoring interns through structured design reviews, code audits, and technical workshops.
- Quality Control: Coordinated end-to-end testing and validation processes to maintain software integrity from development through to production release.