Hrithika Panchikkal

Full Stack Developer

About Candidate

Location

Education

B
Bachelor’s of Engineering in Computer Science 2018-2022
Visvesvaraya Technological University

Work & Experience

S
Software Engineering Specialist 05-09-2022 - 01-01-2026
GE Aerospace

• Designed, developed, and maintained mission-critical security applications used in aerospace systems, contributing to improved system reliability
and compliance.
• Delivered end-to-end full-stack features using Python, JavaScript, Node.js, Angular, and PostgreSQL, supporting 20+ functional enhancements
across backend and frontend layers.
• Played a key role in enhancing BEASSTT and RM applications, resolving 30+ production and pre-production defects, resulting in a 23% increase in
user satisfaction.
• Built and optimized REST APIs, reducing average API response time by ~25% through improved logic separation and cleaner request handling.
• Led and contributed to data engineering pipelines using AWS Glue, S3, Redshift, SNS, IAM, and Lambda, processing 1000s of records per run to
support analytics and reporting use cases.
• Implemented infrastructure as code using Pulumi, managing multiple environments (dev, pre-prod, prod) and reducing manual deployment errors by
~40%. Automated deployment workflows using GitHub Actions, improving deployment consistency, and reducing release effort by 30%.
• Wrote and executed unit and end-to-end tests using Jest and Cypress, improving test coverage and helping reduce regression issues by ~20%.
• Collaborated with cross-functional teams in an Agile/Scrum environment, consistently delivering 98% of sprint commitments across multiple
releases. Conducted 50+ GitHub pull request reviews, improving code quality and long-term maintainability.
• Used Jira to track and manage 60+ user stories and bug tickets, ensuring timely delivery and clear sprint progress visibility.
• Debugged and resolved high-priority production issues, reducing incident resolution time by ~35% through root cause analysis and preventive fixes.
• Practiced pair programming with teammates on complex features, improving shared code ownership.
• Optimized PostgreSQL queries and database views, improving data retrieval performance by 20–30% for business-critical resources.