
Machine Learning and AI enthusiast with a passion for mobile app development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
twitch-clone-nextjs
August 6, 2025 – August 7, 2025
Building a Full Stack Twitch Clone using Next.js, Clerk, Supabase, Stream Video, and Stream Chat
View ProjectMyAppleIntelligence
November 7, 2024 – November 12, 2024
Custom implementation of Apple Intelligence features
View Projectnextjs-ai-chat-app
October 28, 2024 – Present
This project demonstrates how to incorporate AI features (streaming chatbot responses, LLM-generated channel names) into a modern Next.js chat application powered by Stream's Chat SDK.
View Projectvuejs-livestreaming-webrtc
May 15, 2024 – May 17, 2024
This is a demonstration of creating a livestreaming application using Vue.js and the Stream JavaScript Audio and Video SDK powered by WebRTC.
View Projectmeeting-summary-ollama-gemma
March 7, 2024 – Present
Create an AI-powered meeting summary tool with Python, Ollama, and Gemma
View Projectdiscord-clone-nextjs
January 11, 2024 – Present
Building a discord clone using NextJS, TailwindCSS, and the Stream Chat and Audio and Video SDKs.
View ProjectTextRecognitionSample
May 26, 2020 – December 12, 2020
TextRecognitionSample — repository
View ProjectSwiftPackageIndex-Server
March 9, 2020 – Present
The Swift Package Index is the place to find and explore Swift packages
View ProjectBusiness-Card-Mail-Extractor
January 26, 2019 – February 11, 2019
Business-Card-Mail-Extractor — repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal exploration and learning, which aligns with a culture of continuous improvement and innovation. The variety of technologies explored (Swift, Python, TypeScript, Dart, Ruby, Objective C) indicates a broad interest and willingness to step outside a primary comfort zone. However, the lack of team-based or open-source contributions in the provided projects makes it difficult to fully assess collaborative cultural fit.
Soft Skills & Operational Fit
The candidate's extensive personal projects suggest strong self-motivation, initiative, and a proactive approach to learning new technologies. The diversity of projects, including AI and web development, indicates adaptability and a broad technical curiosity. However, without formal work experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or specific operational fit.