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Student
Frontend Developer
June 23, 2026 – Present
Omni-Drift-GPR-Localization
April 12, 2026 – Present
A pre-computation GPR pipeline that models VEX odometry error by movement type and bakes corrective biases into motion functions, replacing match-time localization hardware with a single offline training session.
View ProjectGPR_VS_LinReg
April 8, 2026 – Present
A graphical analysis of the benefits of Gaussian Process Regression vs standard Linear Regression
View ProjectMetaCritiqueOptimizer
January 19, 2026 – Present
A state-isolated orchestration framework that utilizes PID-governed symbolic backpropagation and recursive feedback loops to automate instruction tuning and optimize agentic policies in real-time. Achieving a relative improvement score of 74.00% on swe-bench-mini bash-only.
View ProjectOnyx
December 20, 2025 – Present
Onyx is a proactive, memory-driven AI assistant that monitors, learns, and acts autonomously
View ProjectSage-debugger
October 24, 2025 – October 29, 2025
Custom VSCode debugging extension, with an extensive toolset, unique quality-inspired architecture (refer to multi-agent-critique repository), and costs individually < $0.01 for usage.
View Projectmulti-agent-critique
October 18, 2025 – Present
Multi-model critique system, inspired by human learning patterns, resulting in a 40% performance increase with LLMs, tested on swe-bench bash-only with GPT4o model.
View ProjectRemote-Shell-Agent
September 26, 2025 – December 23, 2025
An agentic approach to SSH execution with a client and host pair. Powered by state-of-the-art models to make remote execution easier than ever for automation or for novice programmers.
View ProjectLLM-Voice-Pipeline
April 11, 2025 – Present
A multi-model pipeline integrating LLM and voice processing that creates a fully voice-controlled LLM. The program utilizes state-of-the-art LLMs, TTS models, STT models, and VAD, resulting in a responsive voice assistant capable of fluid conversation with users.
View ProjectGmail-Agent
February 20, 2025 – February 20, 2025
A Gmail Agent powered by OpenAI LLMs to send, draft, and read emails through an easy-to-use application.
View ProjectStudy-Buddy
December 21, 2023 – January 20, 2025
A Study Buddy powered by Generative AI in the form of a chrome extension to help you navigate the World Wide Web
View ProjectCultural Fit Analysis
The candidate's portfolio is heavily skewed towards personal AI/ML projects, demonstrating a strong passion for cutting-edge technology. While this indicates a proactive and innovative mindset, the lack of diverse project types (e.g., team-based, open-source contributions, or projects directly related to typical business applications) and the absence of formal work experience make it challenging to fully assess cultural fit in a collaborative, production-oriented environment. The target role is 'Frontend Developer', but most projects lean towards backend/AI, suggesting a potential misalignment or a need to validate frontend depth.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong drive for innovation and problem-solving, often tackling complex technical challenges. The focus on personal projects suggests self-motivation and initiative. However, without formal work experience or psychometric test results, it's difficult to assess collaboration, stress handling, or direct operational fit.