Amarsingh Thakur
Data ScientistUnstable Diffusion
Mumbai, Maharashtra, India
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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.