Abhishek Singh

Performance-driven Software Engineer and Java Full Stack Developer with 2+ years of experience developing scalable enterprise applications using Java, Spring Boot, React.js, SQL, and Microservices Architecture. Proven success in reducing backend API latency by 18%, accelerating UI performance by 25%, increasing development efficiency by 30%, and automating business processes that reduced manual effort by 40%. Strong technical leader with expertise in Low-Level Design (LLD), web application test automation, CI/CD automation, and agile cross-functional collaboration.

Software Engineer at Andor Tech (Client: Honeywell Aerospace) (2026-01 – 2026-04)

• Full Stack Engineering & APIs: Developed React.js interfaces used by 1,000+ internal users for flight data management, enhancing user workflow efficiency and platform responsiveness.
• Backend & Latency Optimization: Reduced backend RESTful API latency by 18% through Redis distributed caching implementation and SQL query/schema tuning.
• Frontend Performance & Architecture: Improved application load speed by 25% using Lazy Loading and Code Splitting, significantly reducing initial payload delivery times.
• Reusable UI Component Library: Increased development efficiency by 30% by creating reusable React component libraries with Redux Toolkit shared across cross-functional engineering squads.
• Security & Web Automation Testing: Implemented OAuth2 and JWT authentication securing 50+ enterprise APIs, conducting web application automation testing to ensure aerospace compliance.

Associate Engineer at Actechnoid LLP (2023-12 – 2025-12)

• Enterprise Application Development: Built robust inventory management dashboard supporting 500+ daily active users with dynamic tracking capability utilizing Java, Spring Boot, and React.js.
• Process Automation: Reduced manual invoice processing time by 40% through automated transactional email and document generation services.
• Automated Testing & Quality: Achieved 90% code coverage across core microservices using JUnit testing, preventing regression defects during cloud deployments.
• Database Optimization: Improved API response time by 20% through relational database optimization, schema tuning, and SQL query enhancements.
• DevOps & CI/CD Pipelines: Reduced deployment effort by 60% by automating end-to-end CI/CD pipelines using Jenkins, Docker, and modern Git workflows.

Bachelor of Technology (B.Tech) in Civil Engineering – Babu Banarasi Das Engineering College (2022)