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AI engineer focused on LLMs, multimodal models, and real-world ML systems. Building projects in RAG, language modeling, and efficient training/inference.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Statistics-for-IT
January 15, 2026 – Present
Statistical Analysis of Volatility and Distribution Patterns of Global Top 10 Stocks Final Report for Statistics for IT
View ProjectTransformer
January 15, 2026 – Present
Final Report for Mathematics for Artificial Intelligence Course
View ProjectAntenna-Optimization
January 15, 2026 – Present
It is a Python script that implements a Genetic Algorithm to design an antenna. This is a simplified, educational version of the logic used for the NASA ST5 spacecraft antenna.
View ProjectGenetic-Algorithm-Protein-Folding
January 15, 2026 – Present
It uses the HP (Hydrophobic-Polar) Model on a 2D grid. Hydrophobic (H) amino acids want to touch other H's to minimize energy (-1 per contact). Polar (P) amino acids are neutral.
View ProjectAGI
November 21, 2025 – November 21, 2025
Artificial General Intelligence Presentation Slides
View ProjectImportance-of-Sleeping-on-Time-
July 28, 2025 – July 28, 2025
Importance of Sleeping on Time
View ProjectAccident-Detection-Web-App
December 15, 2023 – March 3, 2024
🚨 CNN based Accident Detection and Emergency Response System
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards academic and personal exploration, particularly in AI/ML and scientific computing, which might indicate a curious and self-driven individual. However, the majority of projects are not directly aligned with a typical 'Frontend Developer' role, suggesting a broader interest spectrum. The diversity of projects could indicate adaptability, but also a lack of focused experience in frontend development.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.