MAHADEV HATTI

Software Engineer

Bengaluru, IN.

About

Highly skilled Software Engineer with a Bachelor of Technology in Computer Science and Engineering, specialising in end-to-end frontend development for high-traffic platforms. Proven ability to optimize performance, enhance code quality, and achieve high WCAG compliance, contributing to significant improvements in user experience and operational efficiency. Eager to leverage expertise in modern web technologies and problem-solving to drive innovative solutions.

Work

Jio Platforms Limited

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Software Engineer (Full-Time)

Bengaluru, Karnataka, India

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Summary

Led end-to-end frontend development for high-traffic platforms and drove significant performance and quality enhancements across multiple product lines.

Highlights

Led end-to-end frontend development for high-traffic platforms (100K+ DAUs) including JioStream and multiplayer games, reducing server load by 30% through backend logic migration.

Drove major performance and code quality enhancements, reducing Jio Ad Maker's build and runtime by 50% via package upgrades and refactoring, and migrating to Jest for scalable test coverage.

Built scalable internal admin tools like HR Chatbot and JioStream Superadmin, streamlining document handling and ensuring 100% Jest test coverage for fault-tolerant newsletter dispatch.

Led WCAG accessibility and SEO optimization initiatives, achieving 99% Lighthouse WCAG compliance and boosting AI-Matrix SEO performance.

Streamlined CI/CD cycles across multiple product teams, enabling seamless deployment of location-based offers, ongoing bug resolution, and rapid feature delivery with high availability.

IEEE 7th International Conference (ICRAIE 2022)

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Front End Developer Intern

Surathkal, Karnataka, India

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Summary

Developed, designed, and deployed the official conference website, ensuring a scalable and responsive platform for over 200 participants.

Highlights

Led the end-to-end design, development, and deployment of the official ICRAIE 2022 conference website, ensuring a scalable, responsive, and well-structured platform.

Designed and developed key website sections, including paper submission and onboarding workflows, to ensure seamless navigation across devices.

Integrated Microsoft CMT (Conference Management Toolkit) to manage secure submissions, reviewer workflows, and publication tracking for over 200 participants and reviewers.

Volunteer

Committee Member (Hospitality & Grievance)

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ICRAIE 2022 – NITK Surathkal

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Coordinated hospitality and grievance resolution for a major international conference with over 400 attendees.

Highlights

Coordinated room and meal logistics for over 400 attendees, ensuring smooth operations.

Resolved live issues as part of the grievance redressal team, enhancing attendee satisfaction.

Developer & Volunteer

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NITK Surathkal (Cultural Fest - Incident)

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Developed interactive event pages and managed live registration workflows for a cultural festival, supporting community initiatives.

Highlights

Developed and deployed interactive event pages and handled live registration workflows for 2,000+ participants.

Supported i-CARE initiatives, including beachside teaching, donation coordination, and awareness drives.

Education

National Institute of Technology Surathkal

Surathkal, Karnataka, India
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Bachelor of Technology Computer Science and Engineering

Skills

Languages

C, C++, JavaScript, TypeScript, Python, HTML, CSS.

Frontend

Angular, React.js, Next.js, Solid.js, Tailwind CSS, Material Tailwind, Shadcn UI, GSAP, Framer Motion, RxJS.

Tools

Git, ESLint, WCAG Accessibility (LightHouse), GTmetrix, Copilot, Cursor, Browser-MCP, n8n, Jest.

Projects

Medical Agentic Workflow System

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Summary

Developed an agentic healthcare workflow in n8n integrating Gemini AI for auto-generating care summaries, appointment reminders, and symptom checklists.

Deep Learning-Based Intrusion Detection System

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Summary

Engineered a deep learning-based Intrusion Detection System utilizing a hybrid CNN-LSTM architecture on the CSE-CIC-IDS2018 dataset (5M+ records, 80+ features), achieving 99.78% accuracy and 0.9978 F1-score.