Archit Chitte

Frontend Developer

https://talent.gravityer.com/archit-chitte

Mumbai, Maharashtra, IndiaMember since June 21, 2026

Key Strengths

Demonstrated experience with core frontend technologies (JavaScript, HTML, CSS) across multiple personal projects.
Exposure to AI/ML concepts in projects like MindSphere and O.N.E, indicating a broader technical interest.
Project descriptions suggest an understanding of user experience and data binding architectures (e.g., kixx).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and diverse, touching on e-commerce, mental health, and AI. This indicates a proactive learning attitude and willingness to explore different domains. However, without team-based project experience or explicit collaboration details, assessing cultural fit for a collaborative environment is challenging. The experience level is 0, suggesting this is an entry-level candidate for a senior role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

NeuralFrontier

April 18, 2026 – Present

NeuralFrontier — GitHub repository

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ecomca2

April 14, 2026 – Present

ecomca2 — GitHub repository

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O.N.E

April 12, 2026 – Present

This project proposes O.N.E (Onboarding Navigation Environment), an Autonomous Developer Onboarding Agent powered by Agentic AI and Retrieval-Augmented Generation (RAG) to automate and streamline the developer onboarding process.

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architchitte

March 7, 2026 – Present

architchitte — GitHub repository

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kixx

March 2, 2026 – Present

Welcome to the KIXX a Sneaker E-commerce application that prioritizes high-fidelity styling over generic web implementations. The system seamlessly leverages Drizzle's eager-loaded nested DB queries, allowing a fluid data-binding UX architecture spanning from Product Catalogs directly down to the variant cart arrays.

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AeroGuard-Deploy

February 24, 2026 – Present

AeroGuard-Deploy — GitHub repository

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StrangerStrings-DevHacks

February 21, 2026 – Present

StrangerStrings-DevHacks — GitHub repository

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SR17-frontend-deploy

February 15, 2026 – Present

SR17-frontend-deploy — GitHub repository

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backend-final-assessment

November 8, 2025 – November 8, 2025

backend-final-assessment — GitHub repository

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MindSphere

September 25, 2025 – Present

An AI-powered digital mental-health support system for students offering chat-based assistance, mental health screenings, confidential counseling bookings, peer forums, and resource access. Built to promote stigma-free well-being and provide analytics-driven insights for improving student mental health support.

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Key Strengths

Demonstrated experience with core frontend technologies (JavaScript, HTML, CSS) across multiple personal projects.
Exposure to AI/ML concepts in projects like MindSphere and O.N.E, indicating a broader technical interest.
Project descriptions suggest an understanding of user experience and data binding architectures (e.g., kixx).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

Archit Chitte

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit