
swe 2 (ai search) @atlanhq , building snaildb.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
atlanhq
Data Scientist
June 20, 2026 – Present
atlan-sample-apps
April 30, 2025 – Present
Sample application built using Atlan Application SDK
View Projectag2
November 11, 2024 – Present
AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3x
View ProjectAI-Marketing-Agents
September 30, 2024 – October 1, 2024
This project utilizes a multi-agent architecture powered by generative AI (Gen AI) to automate the creation of personalized marketing campaigns.
View ProjectAutoGen-Llama3.2-Vision
September 26, 2024 – September 29, 2024
demonstrates how to use Llama 3.2 models, specifically the 11B Instruct v1 version with AutoGen and OCR, through AWS Bedrock.
View Projectbpetokenizer
May 26, 2024 – June 7, 2024
(py package) train your own tokenizer based on BPE algorithm for the LLMs (supports the regex pattern and special tokens)
View Projectcourse-recommendation-system
January 1, 2024 – January 1, 2024
Course Recommender System, powered by Flask, delivers tailored course suggestions based on user interests. Using content-based filtering and MongoDB integration
View ProjectChatbot-gpt3.5
July 26, 2023 – August 5, 2023
Chatbot built using Flask and the OpenAI GPT-3.5 turbo model. The chatbot allows users to interact with a language model powered by GPT-3.5 turbo and get responses based on their input.
View ProjectOpen-Source-Recommender
July 12, 2023 – August 18, 2024
Gitmatch - personalized recommendation system, that recommends open-source repositories based on your skills, topics and languages from your GitHub
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest in cutting-edge AI/ML technologies and open-source contributions, which aligns with an innovative and collaborative culture. However, the projects are predominantly personal, and there is only one listed professional experience, making it difficult to fully assess cultural fit in a team or organizational setting. The target role is Data Scientist, which aligns well with the candidate's project focus.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions suggest a proactive and self-driven individual, but no direct assessment of collaboration, communication, or problem-solving in a team context is available.