Help & Supportcareers@gravityer.com
I turn messy ideas into clean code. Working at the edge of AI, automation, and the web. Always building, always shipping.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
PitchAgent
May 4, 2026 – Present
Pitch probable clients an agent based on their site url and thier knowldge pdfs
View ProjectBCtCI-DSA-Solutions
April 19, 2026 – Present
DSA solutions in Python for Beyond Cracking the Coding Interview (BCtCI).
View ProjectLangSwarm-Landing-Page-Builder
April 7, 2026 – Present
3 AI agents collaborate to create a complete landing page: one writes the copy, one designs the layout, and one handles the implementation, powered by LangGraph Swarm.
View ProjectThe-unseen-work
March 26, 2026 – Present
Not all work is visible. This is the proof it happened.
View ProjectClientOps-ADK-Skills.md
March 17, 2026 – Present
A modular business assistant built using Google ADK and AgentSkills (SKILL.md).
View ProjectPostly-From-idea-to-LinkedIn-on-autopilot
February 24, 2026 – Present
Drop a topic on Telegram. Postly researches it, writes a viral LinkedIn post, generates a matching image, and publishes — all automated by the Claude Agent SDK.
View ProjectNote2Actions
February 14, 2026 – Present
From messy meeting notes to a clean action tracker, instantly.
View ProjectMindVault-Smarter-Than-RAG
February 8, 2026 – Present
MindVault is a backend memory service that converts documents into a structured knowledge graph and allows an LLM to answer questions using only that stored knowledge.
View Projectgh-space-shooter
February 1, 2026 – Present
🎮 Generates a space-shooter animation from my GitHub contributions for my profile README.
View ProjectSONIC-an-improved-token-optimized-successor-to-TOON
November 21, 2025 – November 23, 2025
Where JSON is bloated and TOON is lean, UltraTOON is razor-thin — delivering better compression, fewer prompt tokens, faster responses, and lower costs without losing semantic clarity.
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate a strong initiative and passion for technology, particularly in AI and automation. The diversity of projects, from data structures to AI agents and front-end components, indicates a broad interest in problem-solving. While the target role is 'Frontend Developer', many projects lean heavily into backend/AI, suggesting a potential fit for roles requiring full-stack or AI integration skills, but a less direct fit for a pure frontend role without further evidence of deep frontend expertise.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work independently on complex problems. However, without psychometric test results or interview data, it is difficult to assess collaboration, stress handling, or work attitude.