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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Qwen-Qwen3.5-0.8B-blindspots
March 7, 2026 – Present
Qwen-Qwen3.5-0.8B-blindspots — GitHub repository
View Projectrust-trading-engine
May 20, 2024 – May 28, 2024
This project is an implementation of a basic order book for a trading system, written in Rust.
View ProjectAI4ALL
March 17, 2024 – April 18, 2024
The revolutionary no-code tool designed to simplify and democratize the process of selecting, tuning, and deploying machine learning or deep learning models for diverse datasets
View Projectstar.ai
October 6, 2023 – May 22, 2024
AI-powered AERO-core and search engine streamline access to NASA's technical documentation, offering efficient search, natural language interaction, cross-referencing, real-time updates, and educational resources.
View ProjectML-DL-models-from-scratch
August 4, 2022 – March 6, 2024
This contains the most commonly used machine learning and deep learning models written from scratch without the use if any libraries except Numpy which is used for calculations
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects, particularly in AI/ML, which aligns with an innovative and self-driven culture. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative work environment. The diversity of projects (AI, web, Rust trading engine) suggests a broad interest, but also a potential lack of deep focus on a single area.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate initiative and a drive for personal learning.