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dwiti-123/README.md

Hey, I'm Dwiti 👋

Full-Stack / Product Engineer focused on building intuitive user experiences and the systems behind them.

I'm currently one of two engineers building a workforce-management platform, owning features end-to-end across React, TypeScript, Express, APIs, and databases.

I enjoy working on complex frontend interactions, solving real product problems, and improving how applications behave in production.

Currently exploring AI agents, developer tools, and reliable AI-powered systems.

Portfolio LinkedIn Email


What I've Worked On

Building production software

At Zerotime, I'm part of a two-engineer team building a workforce-management system.

  • End-to-end feature ownership: Built and maintained profile and leave-management modules across the frontend, backend, and database.
  • Complex business logic: Implemented configurable leave policies, including validation across separate leave requests.
  • Frontend engineering: Worked on attendance and announcement workflows, with a focus on usable interfaces and maintainable component architecture.
  • API architecture & performance: Identified unnecessary coupling between profile, leave, and attendance data flows. Helped separate API requests, updated frontend fetching, and removed redundant database operations to improve response times.
  • Integrations: Worked with Twilio and multi-stage communication workflows, including delivery and failure tracking.

I like understanding the entire feature—not just the part of the codebase I'm assigned to.


Selected Projects

📚 Study Buddy — AI-Powered Learning

An application that helps users learn from PDFs and YouTube content using AI-powered workflows.

Stack: Next.js, Node.js, MongoDB, Gemini

What I explored:

  • Integrating LLM capabilities into a practical learning workflow
  • Handling different content sources through a single user experience
  • Building the frontend and backend of an AI-powered application

🔖 Smart Bookmark — AI-Assisted Bookmark Management

A bookmark-management application with AI-assisted functionality.

Stack: Supabase, Anthropic

What I explored:

  • Authentication and persistent user data
  • AI-powered bookmark organization
  • Connecting frontend interactions with backend services

More projects and demos: Portfolio


Technologies I Work With

Area Technologies
Frontend React, Next.js, TypeScript, JavaScript, Tailwind CSS, Redux, shadcn/ui
Backend Node.js, Express, REST APIs, JWT
Databases MongoDB, MySQL, Supabase
AI Integration Gemini, Anthropic, LLM APIs
Tools Git, GitHub, Postman, Figma, Vercel, Render

What Interests Me

  • Product engineering: Turning complex requirements into simple, useful experiences.
  • Frontend systems: Building responsive, interactive interfaces with thoughtful state management.
  • Backend & reliability: Designing clear API boundaries, improving performance, and handling edge cases.
  • AI engineering: Exploring agents, RAG, evaluations, and practical AI-powered workflows.
  • Open source: Learning from production codebases and contributing meaningful improvements.

How I Approach Engineering

Understand the problem → Design the system → Build → Test → Improve.

I use AI-assisted development tools such as Codex and Claude to accelerate exploration and implementation, while staying responsible for architecture, edge cases, correctness, and the final result.

I care about understanding why something works—not just getting it to work.


Let's Connect

I'm interested in ambitious startup teams building developer tools, AI-powered products, and technically challenging software.

Portfolio · LinkedIn · Email

Pinned Loading

  1. smartbookmark smartbookmark Public

    Bookmark manager with Google auth, duplicate prevention, and AI-generated titles using Anthropic API

    TypeScript

  2. study-buddy study-buddy Public

    AI-powered learning assistant that converts YouTube videos & PDFs into flashcards and quizzes

    TypeScript