MANOJ
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A LITTLE EXPLORATION
Bengaluru, IndiaBuilt with curiosity.
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Manoj T

Application Developer

Bengaluru, Indiamanojtofficial@gmail.comgithub.com/tjmanojlinkedin.com/in/tmanojofficial

I build backend services, practical developer tools and products around everyday problems. My work brings together application development, typed integrations and AI experiments that leave room for people to review and decide.

Experience

Application Developer / Indihood

Oct 2025 - Present

Bengaluru, India

  • Contribute to typed service integrations, making inputs and responses easier to reason about.
  • Build predictable test data and test-setup tooling to make development checks more repeatable.
  • Support incremental TypeScript modernization while preserving existing behavior.

Member Technical Staff / Zoho

May 2025 - Oct 2025

Madurai, India

  • Contributed to typo-tolerant catalog search and paginated API responses.
  • Worked on image-delivery behavior within application flows.
  • Helped develop feedback and moderation features and their backend behavior.

Technical Trainee / Zoho

Sep 2024 - May 2025

Madurai, India

  • Contributed to API and backend development through hands-on feature work.
  • Worked on template integration and certificate-related application flows.
  • Collaborated with teammates to understand requirements and iterate on implementation.

Selected projects

Snitch

Sep 2026

AI-assisted screenshot review for possible dark patterns, with evidence to inspect and a grievance draft to edit.

  • Developer - personal / event build. React, TypeScript, Vite, Gemini API, Vercel.
  • An end-to-end prototype for moving from a screenshot to reviewable findings and a draft grievance, while keeping the final interpretation and next action with the user.

DarkWave

2026

A personal dark-mode extension project with per-site controls, visual tuning and time-based scheduling.

  • Developer - personal extension project. JavaScript, HTML, CSS, Web Extensions.
  • A focused browser-tool project with a public landing page and documented controls, exploring the trade-offs between consistent dark mode and site-specific rendering.

Terrain Recognizer

2023

An early browser experiment connecting a Teachable Machine image model to live camera input and visible class predictions.

  • Developer - learning prototype. JavaScript, Teachable Machine, TensorFlow.js, HTML / CSS, MediaDevices API.
  • A browser-based learning prototype that connects camera frames to visible classification scores, providing practical experience with model integration and inference without claiming measured accuracy.

Applied knowledge

Languages & backend
Java, SQL, C++, TypeScript
Integrations & data
REST APIs, Authentication, PostgreSQL / Neon, Pagination, Search, Protocol Buffers, Stripe payments
Tooling & reliability
Git, Docker, Test fixtures, Workflow automation, OpenShift, GCP
Applied AI & product exploration
Gemini API, OpenAI API, Teachable Machine, TensorFlow.js, Browser APIs, Human-reviewed AI

Education

B.E. Computer Science and Engineering

2021 - 2025

Government College of Engineering Tirunelveli / CGPA 8.47

Recognition & continued learning

Best Outgoing Student. Recognized by the Computer Science department at Government College of Engineering Tirunelveli.

850+ coding problems. A recorded milestone across GeeksforGeeks, LeetCode and CodeChef, alongside a historical 116-day practice streak.

Build with AI, Bengaluru. Participated in the September 2026 Build with AI bootcamp and worked on Snitch, exploring AI-assisted screenshot review through a hands-on product build.

IBM-SmartInternz Hack Challenge. Contributed to the team's CloudCollabEdit submission, including Docker containerization and OpenShift deployment.