Kenan Gain
Mobile DeveloperMember since June 24, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Llama-3.2_running_locally
September 27, 2024 – September 27, 2024
This repository demonstrates how to efficiently run Llama 3.2 models locally using optimized configurations for small LLMs. It includes an API for streaming responses and provides caching mechanisms for enhanced performance, making it an excellent choice for local AI model execution.
View ProjectSmolLM
September 15, 2024 – September 15, 2024
This project runs the SmolLM-135M, SmolLM-360M, and SmolLM-1.7B language models locally using Ollama, integrated with a Next.js app for efficient interaction.
View ProjectTerraform-ansible-azure
August 13, 2024 – August 13, 2024
Terraform-ansible-azure — repository
View ProjectWeather-3d-ai-app
August 1, 2024 – August 12, 2024
Next js base 3d weather app dashboard , modern design with tailwind css , shadcn ui (dark theme) and Ai integration , Wikipedia and local news widgets
View Projectfast-gemini-nano
July 1, 2024 – August 29, 2024
chrome ai is here, it extremely fast , it still in development still its really good.
View Projectspeech-to-text
July 1, 2024 – August 6, 2024
Speech to Text using webspeech kit , next js project
View Projectmoviedjangoai
April 14, 2024 – July 1, 2024
Movie suggestion app with Django, CRUD, login, OpenAI, and TMDB APIs.
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects, particularly in AI/ML and web development. The diversity of technologies used (Python, JavaScript, Dart, C++, HCL) suggests a willingness to explore different domains. The 'tracksmart-mobile' project aligns with the 'Mobile Developer' target role, indicating some direct relevance. However, the lack of team-based projects or detailed descriptions makes it difficult to fully assess cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and no psychometric or English test scores are available.