Help & Supportcareers@gravityer.com
I do research on AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
production-grade-agentic-system
December 18, 2025 – December 18, 2025
Core 7 layers of production grade agentic system
View Projectall-agentic-architectures
September 24, 2025 – Present
35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, ...) — a Python library and runnable textbook with multi-provider LLM support and a 17-task benchmark leaderboard.
View Projectrag-ecosystem
August 7, 2025 – August 7, 2025
Understand and code every important component of RAG architecture
View Projectoptimize-ai-agent-memory
July 12, 2025 – July 12, 2025
9 Different Ways to Optimize AI Agent Memories
View Projectcomplex-RAG-guide
July 1, 2025 – July 1, 2025
A step by step implementation of a complex RAG pipeline to solve real world situations
View ProjectMulti-Agent-AI-System
May 31, 2025 – May 31, 2025
Building a Multi-Agent AI System with LangGraph and LangSmith
View ProjectKG-Pipeline
April 14, 2025 – April 14, 2025
Converting Unstructured Data to a Knowledge Graph: An End-to-End Pipeline
View Projectall-rl-algorithms
March 30, 2025 – August 29, 2025
Implementation of all RL algorithms in a simpler way
View Projecttrain-llm-from-scratch
January 12, 2025 – Present
A straightforward method for training your LLM, from downloading data to generating text.
View ProjectCultural Fit Analysis
The candidate's profile shows a strong passion for AI/ML through numerous personal projects. However, the lack of professional experience, education, or certifications, combined with a singular focus on personal projects, suggests a potential gap in understanding corporate environments, team dynamics, and structured development processes. The target role is 'Data Scientist', and while the projects are highly relevant to advanced AI/ML, traditional data science skills (e.g., statistical modeling, data warehousing, business intelligence) are not explicitly demonstrated. This narrow focus might impact cultural fit within a broader data science team.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily showcases technical project work without details on collaboration, problem-solving approaches, or communication in a team setting. Psychometric and English test scores are 0, indicating no assessment was completed.