React Frontend Engineer with 1+ years in React & TypeScript
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Frontend Engineer with experience building scalable React applications, reusable TypeScript libraries, and high performance data processing systems. Passionate about rendering optimization, open source, and developer tooling.
LOGMIEER
B.E · Artificial Intelligence and Machine Learning
June 1, 2020 – June 1, 2024
Comp Up
Software Development Engineer 1 (SDE-1)
February 1, 2025 – Present
Bengaluru, Karnataka, India
Comp Up
Software Development Engineer Intern
August 1, 2024 – February 1, 2025
Bengaluru, Karnataka, India
IngestX
June 19, 2026 – Present
Designed and published a headless data ingestion library for processing large CSV and Excel datasets with a unified API for React and Node.js environments. Designed a chunked processing engine capable of handling very large CSV and Excel datasets without blocking the main thread through asynchronous execution and execution controls (pause, resume, cancel). Implemented a schema-driven validation pipeline with strict typing, regex rules, custom validators, and automatic row classification into valid and invalid outputs. Architected the library with TypeScript first APIs, modular adapters, and reusable core logic, accompanied by public documentation, interactive demos, and NPM distribution.
View ProjectReact Virtualized Tree
June 19, 2026 – Present
Built and published a reusable React and TypeScript tree component library on NPM for large hierarchical datasets. Designed a customizable architecture using React Hooks, TypeScript, and Konva for flexible node rendering. Implemented viewport based virtualization and minimized DOM updates, enabling smooth interaction with large, deeply nested hierarchical datasets.
View ProjectCultural Fit Analysis
The candidate's involvement in open-source projects (IngestX, React Virtualized Tree) and passion for rendering optimization and developer tooling align well with a culture that values innovation, continuous learning, and contribution to the broader developer community. Their experience across different aspects of frontend development (data ingestion, visualization, component libraries) indicates adaptability and a broad interest in the field.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and problem-solving skills through their open-source contributions, tackling complex challenges like large dataset processing and UI virtualization. Their experience in refactoring and performance optimization indicates a proactive approach to improving application quality and efficiency. The detailed project descriptions suggest good communication of technical concepts.