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Unstable Diffusion
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
agentic-ai-interview-kit
June 10, 2026 – Present
Comprehensive open-source study guide for mastering agentic AI — from LLM foundations through production system design and interview preparation. 60+ in-depth pages covering theory, design patterns, frameworks, runnable code, system design case studies, and interview questions.
View Projectllmbase
April 5, 2026 – Present
A ground-up guide to Large Language Models — from foundations to frontier research, with visualizations, runnable code, and interview-ready depth.
View Projectchronos
February 23, 2026 – Present
A Go-based agentic framework for building highly-scalable, durable AI agents with first-class persistence, observability, and CLI tooling.
View ProjectPrismFS
April 17, 2025 – April 17, 2025
A lightweight, high-performance distributed file system written in Go. PrismFS slices and replicates files across a network of nodes, providing fault tolerance, scalability, and low-latency access to your data.
View Projectziva-jewellery
April 12, 2025 – July 27, 2025
A modern e-commerce platform for premium jewellery, built with React.
View Projectsystem-design-interview
March 20, 2025 – Present
A comprehensive guide to system design interviews, covering key topics and example questions, specifically tailored for roles in GenAI, Machine Learning, and Senior Software Engineering.
View Projectkolors-sdxl
January 6, 2025 – January 6, 2025
Kolors: Effective Training of Diffusion Model for Photorealistic Text-to-Image Synthesis
View Projectds-algo-interview
September 27, 2021 – Present
Repository contains DS/Algo questions asked in Technical interview
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and open-source contributions, indicating a strong drive for self-learning and exploration. The diversity of projects, from distributed file systems to e-commerce and AI, suggests adaptability. However, the lack of team-based or professional project experience makes it difficult to fully assess cultural fit in a collaborative corporate environment. The target role is 'Data Scientist', and while there are relevant AI/ML projects, the breadth of other projects (e.g., e-commerce, general web dev) suggests a broad interest rather than a focused specialization, which could be a strength or weakness depending on the team's needs.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a proactive and self-directed learning approach.