Panchumarthi Abhinav
@panchumarthiabhinav
Frontend engineer specializing in scalable Angular, React, and TypeScript systems.
What I'm looking for
I am a software engineer with 2+ years building scalable Angular, React, React Native, and TypeScript applications for AI-driven systems and enterprise platforms.
At Caterpillar I developed high-performance real-time dashboards with 1-second refresh rates, engineered UIs rendering 10,000+ rows, and built AI-powered natural language features that accelerated decision making by 35%.
I modernized enterprise applications by migrating Angular 11 to Angular 17, creating reusable web-component libraries, integrating NestJS microservices, and improving performance and maintainability across cross-functional teams.
Earlier, I worked on computer vision and mobile solutions—developing OpenCV algorithms and TensorFlow models for table extraction and shipping a cross-platform React Native app that handled daily production traffic and optimized backend synchronization.
Experience
Work history, roles, and key accomplishments
SDE 1, Frontend
Caterpillar
Jul 2024 - Present (1 year 8 months)
Developed an Angular/RxJS dashboard with 1-second refresh rates and engineered a UI rendering 10,000+ rows using virtual scrolling; built an AI natural-language feature that accelerated decision making by 35% and created a reusable Lit-based component library used across 5+ products.
Mobile App Developer
Norle Foods
Apr 2025 - Jun 2025 (2 months)
Launched a cross-platform React Native app serving 600+ customers and handling 1,000+ daily requests; implemented a dynamic cart/checkout and real-time kitchen sync via Twilio, enabling 50+ daily orders and streamlined CI/CD with EAS.
College Intern, Frontend
Caterpillar
Jan 2024 - Jul 2024 (6 months)
Migrated an enterprise app from Angular 11 to Angular 17 improving performance by 25%, replaced UI libraries with reusable web components, and implemented NgRx and modular architecture to improve maintainability and deployment across a 15+ member team.
Computer Vision Intern
V3 Analytics
Aug 2022 - Dec 2022 (4 months)
Developed an OpenCV pipeline to extract tabular data from unstructured PDFs increasing accuracy by 35% and trained a TensorFlow model achieving 92% parsing accuracy, plus built a mobile app that reduced manual invoice processing by 60%.
Education
Degrees, certifications, and relevant coursework
Anna University
Bachelor of Technology, Computer Science and Business Systems
Grade: 9.54
Completed a B.Tech in Computer Science and Business Systems with a strong academic record (CGPA 9.54) in 2024.
Tech stack
Software and tools used professionally
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