Help & Supportcareers@gravityer.com
👋 I'm Karan, a backend developer exploring Python, Node.js, and now machine learning. Keen on open source contributions to enhance my project management skills
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Assessing your cultural and operational fit
Obvix Labs
Data Scientist
June 14, 2026 – Present
claude-code-analysis
April 1, 2026 – Present
We read all 512K lines of Claude Code's accidentally exposed source. 82 docs, 15 diagrams, every subsystem mapped — from the hidden YOLO safety classifier to multi-agent swarms.
View Projectcontext_window_research
March 13, 2026 – Present
80,433-trial study of context-window sycophancy across 6 LLMs (4B–72B). Behavioral ratchet effect, correction injection mitigation, phase transition analysis. Code, data, and preprint included.
View Projectclaude-skills
February 12, 2026 – Present
Battle-tested Claude Code skills for hardening vibe-coded projects. Audit, clean, and ship AI-generated codebases with confidence.
View Projecthavoc-machine
December 27, 2025 – Present
Havoc Machine is a Synthetic Customer Chaos Lab that stress-tests customer support chatbots through AI-generated adversarial conversations. It automatically generates 1,000+ realistic chaos scenarios to expose policy vulnerabilities and refund leakage before impacting real customers.
View Projectclip-cast
October 1, 2025 – November 26, 2025
📺 YouTube Clone – MERN Stack A full-stack video streaming platform built with the MERN stack (MongoDB, Express, React, Node.js). Features include video upload, playback, likes, comments, and a modern UI inspired by YouTube.
View Projectobvix-wellness
September 21, 2025 – September 27, 2025
Obvix Wellness is a safety-first emotional AI chat companion combining retrieval-augmented generation, crisis detection, and locally served Fine-tuned models for grounded therapeutic conversations.
View Projectbodhi
June 28, 2025 – June 29, 2025
Dynamic knowledge base that auto-syncs your docs and FAQs from Google Drive, keeps company support/help pages current, and powers both a customer-facing support site and a real-time chatbot to answer questions instantly. Reduce support workload with consistent, always-updated answers based on your latest internal documentation.
View Projectsanskritayam
March 24, 2024 – April 2, 2024
"Sanskritayam" is a unique, experimental programming language inspired by the Sanskrit language. Developed for fun, following a viral meme, it integrates Sanskrit's grammatical precision into programming, featuring constructs like loops, conditions, data types, and OOP.
View ProjectShawtyGPT
February 21, 2024 – April 2, 2024
A fun project exploring the power of Google's Generative AI API to create a sassy, materialistic chatbot named "Lavanya". This project is meant to demonstrate the capabilities of large language models while acknowledging the potential sensitivities of the chosen persona.
View ProjectAFOptimizer
December 29, 2023 – Present
Enhance anime videos with AFOptimizer, a Python tool for removing static frames using Frame Difference , SSIM and Optical Flow methods. Ideal for streamlining viewing and editing.
View ProjectCultural Fit Analysis
The candidate's portfolio demonstrates a strong inclination towards innovative and experimental projects, often pushing boundaries in AI/ML. This suggests a fit for a culture that values research, development, and a proactive approach to technology. The personal projects, while diverse, are heavily concentrated in AI/ML and data science, aligning well with a Data Scientist role. The creation of a programming language and adversarial testing tools indicates a deep curiosity and a drive to understand systems thoroughly. However, the lack of team-based projects or contributions to open-source initiatives beyond personal projects makes it difficult to assess collaboration style.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and experimental approach to problem-solving, indicating strong initiative and a willingness to explore novel solutions. The diversity of projects, from language creation to adversarial testing, points to adaptability and a broad interest in technical challenges. However, without psychometric test results, specific soft skills like logical reasoning, work attitude, stress handling, and team collaboration cannot be objectively assessed.