AI Engineer with less than a year in Python, Machine Learning, and NLP with 5 Months of AI/ML Intern
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Computer Engineering undergraduate specializing in Python, Machine Learning, and NLP. Developed AI-based resume intelligence systems for automated parsing and candidate shortlisting using FastAPI, SQL, and machine learning. Skilled in backend development, REST APIs, and building scalable AI-driven applications with strong problem-solving abilities.
Madhuben & Bhanubhai Patel Institute of Technology (CVM University)
B.Tech · Computer Engineering
August 1, 2022 – June 30, 2026
St. Xavier's high sec School
12th
June 1, 2021 – May 31, 2022
Edunet Foundation
AI/ML Intern (Industrial Internship)
February 1, 2026 – May 31, 2026
Anand, Gujarat, India
Venom Technologies
Machine Learning Intern
May 1, 2025 – June 30, 2025
Anand, Gujarat, India
Resume Intelligence Platform
January 1, 2026 – June 30, 2026
Developed a modular resume parsing and candidate shortlisting system using Python and machine learning. Designed a configuration-driven engine using YAML/TOML with JSON outputs for seamless backend/frontend integration. Performed A/B testing using Random Forest and Logistic Regression models, evaluated on 40+ real and 500+ synthetic resumes, achieving consistent extraction accuracy.
Handwriting detection system
January 1, 2025 – December 31, 2025
Preprocessed handwritten images, trained CNN models, and implemented real-time handwriting recognition through a Python-based interface. Technologies: TensorFlow, CNN, OpenCV, Python
Cultural Fit Analysis
The candidate has engaged in both professional internships and personal projects, demonstrating initiative and a proactive learning attitude. The projects align well with an AI Engineer role, indicating a strong interest and foundational skill set in the domain. The breadth of skills listed (Python, C++, Java, SQL, Web technologies) suggests a versatile learner, though the depth in each is not fully evident from the provided data.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured development tasks and apply machine learning concepts. The mention of A/B testing and evaluation metrics suggests an analytical approach. However, the brevity of descriptions limits a deeper assessment of collaboration or problem-solving in complex scenarios.