Help & Supportcareers@gravityer.com
Math , Coffee , Neural Networks , Web apps .. . . . Yep thats mee !!
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
contextd-vscode
May 29, 2026 – Present
VSCode extension for contextd - local-first semantic search in your editor
View Projectcontextd
December 15, 2025 – Present
Local-first semantic search daemon for AI assistants. MCP-native, hybrid search, zero cloud dependency. Turn any codebase into queryable context for any llm & beyond.
View Projectshard
December 12, 2025 – Present
shard is a local-first version control system for your machine learning artifacts.
View Projectthe-zero-debt-index
December 9, 2025 – December 10, 2025
A template library for AI-first application prompts. This project allows you to browse, copy, and share "Vibe Coding" prompts to quickly spin up full-stack applications using AI tools like Google AI Studio, Gemini, or Copilot.
View Projectpandas-cleaner
April 19, 2025 – Present
A high-performance interactive data cleaning tool with Streamlit UI and Rust integration capabilitie
View Projectgitsummarizer
March 15, 2025 – April 17, 2025
A Unix terminal utlity which uses NLP and the git metadata to summarize your recent commits and compare branches
View Projectgraph4supplychain
November 28, 2024 – March 31, 2025
A comprehensive project leveraging Graph Neural Networks (GNNs) for classification, forecasting, and analytics on supply chain datasets. Includes end-to-end workflows, actionable insights
View ProjectPinnaclePulse-Learning
March 7, 2024 – May 2, 2024
An Interactive Learning experience for Kids
View ProjectBeat-Buddy
July 11, 2023 – June 2, 2025
BeatBuddy is a customized music recommender app that allows users to search for songs and receive personalized recommendations based on selected features using Machine learning.
View ProjectCultural Fit Analysis
The candidate exhibits a strong inclination towards open-source contributions and personal projects, which often aligns well with cultures that value initiative, continuous learning, and independent problem-solving. The diversity of projects, ranging from semantic search to music recommenders and supply chain analytics, indicates a broad interest in applying data science across various domains. The focus on building developer tools (e.g., 'contextd', 'shard', 'gitsummarizer') suggests a product-oriented mindset. However, the lack of team-based projects or professional experience makes it challenging to fully assess collaboration and team integration aspects.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and innovative approach to problem-solving, particularly in developing tools for AI assistants and ML workflows. The focus on 'local-first' and 'zero cloud dependency' suggests an interest in efficient, self-contained solutions. However, without specific assessment data on communication, logical reasoning, or teamwork, it is difficult to fully assess soft skills and operational fit.