AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
vector_database
March 29, 2026 – Present
Building a vector database from scratch in pure Python that supports: inserting vectors, quantizing them with Product Quantization, persisting the index to disk, and querying for approximate nearest neighbours via a simple API. No FAISS. No Pinecone.
View Projectrecurrent-predictive-learning
January 16, 2026 – Present
A simulation that demonstrates how Recurrent Predictive Learning (RPL) can learn to control an inverted pendulum purely from prediction errors, without being explicitly told the physics equations or receiving labeled "good" vs "bad" feedback.
View Projectshape_registration-using-manifold-opt
January 4, 2026 – Present
Implementing 3D mesh registration using manifold optimization on SO(3)
View Projectdocker_clone
December 3, 2025 – December 9, 2025
A minimal imitation of docker system implemented in Go
View ProjectHttpServer
May 9, 2025 – May 9, 2025
A lightweight, asynchronous HTTP server built in pure Python with a robust middleware system and Express-style routing. Features include request parsing, JSON handling, CORS support, and a clean decorator-based API for defining routes and applying middleware.Designed as a learning exercise to understand web server architecture.
View Projectdrone_ai_nav
May 7, 2025 – May 7, 2025
A ROS-based autonomous drone navigation system that leverages Claude API for intelligent scene analysis. The system processes aerial imagery in real-time to detect and identify objects, enabling the drone to autonomously navigate to targets specified through natural language commands. Built with PX4 autopilot and Gazebo simulation.
View ProjectCultural Fit Analysis
The candidate's extensive personal projects demonstrate a strong passion for technology and continuous learning, which aligns well with a culture of innovation and self-improvement. The diversity of projects, from AI/ML to system programming and robotics, suggests adaptability and a broad technical curiosity. However, the lack of professional experience or team-based projects makes it difficult to fully assess collaboration and team fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a strong drive for learning and independent project execution.