Hi! Welcome to my github page. LLM Engineer, Agentic AI Systems and more! This GitHub is to track my progress through my journey of Learning 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
Sarkari Slave
Embedded Systems Engineer
June 24, 2026 – Present
hydenix-bhaswata
January 19, 2026 – Present
Operating system configuration for nixos based on hydenix
View ProjectCMRIT_Talk
November 13, 2025 – November 14, 2025
Talk on Agentic AI at CMRIT on 14 Nov 2025
View ProjectGale
May 12, 2024 – May 13, 2024
Generates high quality articles based on research papers.
View Project2-point-Gradient-Descent
August 5, 2022 – August 5, 2022
A simple Gradient descent algorithm for 2 points
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal learning and exploration, particularly in system configuration (NixOS), programming languages (Python, Rust, Lua, C++), and AI/ML. This self-driven learning approach could be a good cultural fit for teams that value continuous improvement and independent problem-solving. However, the projects are predominantly personal and lack explicit team collaboration or larger-scale system development, which might indicate a need for adaptation to a more collaborative, structured engineering environment. The target role of 'Embedded Systems Engineer' aligns with some of the technologies explored (C++, Assembly, Rust) and the 'ACR-Prep' project, suggesting a genuine interest in the domain.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.