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AI Engineer with 1+ years in Python, Machine Learning & Deep Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
M.Sc. Computer Science graduate with a focus on high-performance software engineering and AI/Machine Learning. Technically proficient in designing scalable full-stack applications and deploying deep learning models (CNNs, GNNs) to solve complex data challenges. Proven track record in optimizing algorithmic efficiency and building end-to-end AI solutions. Seeking to leverage expertise in Python Development, Data Science, or AI Engineering to drive innovation in a fast-paced technical environment.
Mahatma Gandhi University
M.Sc. · Computer Science
August 1, 2023 – June 30, 2025
Mahatma Gandhi University
B.Sc. · Computer Science
August 1, 2020 – June 30, 2023
Hybrid Stock Forecasting & Recommendation System (HDFM-GAT)
June 1, 2026 – Present
Developed a GRU + GAT hybrid deep learning model with dynamic graph construction and macroeconomic attention. Evaluated using MAE, MAPE, and R2.
Web-Based HR Management System
June 1, 2026 – Present
Created a CRUD-based HR portal with authentication, employee management, and MySQL backend.
Medicinal Leaf Classification Using YOLOv8
June 1, 2026 – Present
Built a real-time detection system for Ayurvedic leaves using custom datasets and OpenCV pipelines.
IBM Business Intelligence Analyst Professional Certificate
IBM
June 1, 2026 – Present
SQL: Practical Introduction
Unknown
June 1, 2026 – Present
Python for Data Science, AI & Development
Unknown
June 1, 2026 – Present
Statistical Analysis using Excel
Unknown
June 1, 2026 – Present
Data Warehouse Fundamentals
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in diverse applications of AI, from financial forecasting to medical image classification. The inclusion of a web-based HR system project shows a breadth of technical interest beyond pure AI. The target role of 'AI Engineer' aligns well with the candidate's project experience and stated professional summary. However, the lack of professional experience and limited project diversity outside of academic settings might indicate a need for mentorship in a corporate environment.
Soft Skills & Operational Fit
The candidate's resume highlights a focus on optimizing algorithmic efficiency and building end-to-end AI solutions, suggesting a problem-solving and results-oriented mindset. The mention of 'Agile' in technical skills indicates familiarity with modern development methodologies. However, without specific work experience or psychometric test results, it's difficult to fully assess soft skills like teamwork, communication in a professional setting, or stress handling.