Jagannath K.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

Email management and prioritization features using AI logic

Secure authentication tooling (JWT)

Top Data Types

Text

Computer Code Programming

Top Task Types

Function Calling

Freelancer Overview

InboxAI — MERN Stack & Flutter email management platform (AI prioritization, smart filters, real-time notifications). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Master of Computer Applications, LNCT Group of Colleges (2026) and Bachelor of Computer Applications, Dr. MPS Group of Institutions (2024). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Function Calling, Computer Programming, and Coding.

Labeling Experience

JWT Easy Kit — Published jwt-easy-kit npm package

OtherText

Published an npm authentication toolkit for Node.js applications, including secure Express middleware and password utilities with substantial automated test coverage. While not a labeling role, it includes development work related to training/test data handling and evaluation routines in the context of authentication. The work supports AI training indirectly by enabling secure data handling and evaluation workflows. • Developed JWT authentication middleware utilities • Included comprehensive password utilities • Achieved 85%+ automated test coverage for validation • Distributed package used by 250+ developers

2024

InboxAI — MERN Stack & Flutter email management platform (AI prioritization, smart filters, real-time notifications)

Don't discloseFunction Calling

Built and deployed AI-based prioritization and smart filtering features within an email management system, including real-time notifications and bulk operations. Implemented disposable email handling and event-driven workflows to improve processing efficiency and reduce latency. These tasks involved defining how model/AI outputs are used within application logic rather than manual data labeling. • AI-based prioritization integration for email events • Smart filters and real-time notification workflows • Disposable/discard email handling automation • Performance optimization for event processing pipelines

2021

Education

Work History