Ashutosh Akkole
Open to work3 years experienceFrontend Engineer
Frontend Engineer with 3 years of experience in scalable applications and micro-frontend architectures.
Standing Rank
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Developer Badges
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Skills & Technologies
24 skillsGitHub Activity Evidence
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Work Experience
Frontend Engineer
LogicMonitor
- Configured compression-webpack-plugin with S3/CloudFront to enable gzip compression, reducing production bundle size from 10MB to 3MB (70% reduction) and significantly improving page load times.
- Migrated state management from Redux to Zustand, improving application performance by 20% and significantly reducing development complexity through simplified API and reduced boilerplate code.
Associate Frontend Engineer
LogicMonitor
- Re-engineered UI reports into a config-driven architecture, designing a reusable configuration schema and rendering pipeline that enabled new reports to be created without code changes — reducing development time by 50%.
- Built and maintained micro-frontend architecture using react-single-spa with shared component lifecycles, enabling independent deployments and team autonomy across multiple development teams.
- Increased unit test coverage from 40% to 60% using Jest and React Testing Library, reducing production bugs in new features by 60% and improving code reliability.
- Developed an AI-powered chatbot (2023 Hackathon) using the facebook/bart-large-mnli model for conversational resource creation, later integrated into the product and increasing user engagement by 80%.
- Implemented ARIA attributes and semantic HTML patterns to improve application accessibility and screen reader compatibility, ensuring WCAG compliance.
- Collaborated with UX designers to prototype and develop a new dashboard featuring top-k resources (servers, instances, LogicModules, datapoints) visualization, implementing a split-view layout with interactive pie charts and data tables for improved resource monitoring.
- Worked with a team of four on LM Lens 2.0 (2025), implementing a Z-score–based anomaly detection algorithm that identifies issues and their root causes within a single UI page; the feature was later integrated into the product, enhancing visibility and significantly reducing diagnostic time by 72%.
- Led the platform decomposition (tech debt) initiative — refactored and modularized legacy codebases to improve maintainability and increase platform performance by 60%.
Software Developer Intern
UVXcel Technologies
- Optimized ERP system UI by improving state management and reducing unnecessary re-renders, achieving a 60% improvement in responsiveness and component load times.
Projects
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Leaderboard Standings
Leaderboard Position Pending
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Assessment Highlights
Assessments Not Completed
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AI Collaboration Score
AI Collaboration Score Pending
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Role Compatibility Profile
Role Compatibility Analysis Pending
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Achievements
2023 Hackathon AI-powered chatbot
Developed an AI-powered chatbot (2023 Hackathon) using the facebook/bart-large-mnli model for conversational resource creation, later integrated into the product and increasing user engagement by 80%.
LM Lens 2.0 (2025)
Worked with a team of four on LM Lens 2.0 (2025), implementing a Z-score–based anomaly detection algorithm that identifies issues and their root causes within a single UI page.
About Details
Professional Bio
Frontend Engineer with 3 years of experience designing and developing scalable applications and micro-frontend architectures. Proficient in React.js, Node.js with a strong grasp of system design and performance optimization.
B.Tech in Computer Engineering in Computer Engineering
Vishwakarma Institute of Technology, Pune (2019 - 2023)