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Python Engineer with 2+ years in Backend Development & Machine Learning
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-level Software Developer with strong experience in Python-based backend development and database-driven systems. Proficient in Django and Flask for building scalable web applications, RESTful APIs, and automation solutions. Strong foundation in data structures, machine learning concepts, and secure software practices with focus on clean, maintainable code.
Cochin University of Science and Technology
Master of Computer Applications (MCA)
August 1, 2023 – June 30, 2025
Kannur University
Bachelor of Science in Computer Science
August 1, 2020 – June 30, 2023
Tequevia Technologies
Python Developer Intern
January 1, 2022 – December 31, 2023
India
Gynecological Disease Diagnosis Expert System
June 1, 2026 – Present
• Developed a Django-based web application for symptom-based disease prediction. • Implemented Decision Tree Machine Learning algorithm achieving 85% prediction accuracy. • Integrated NLP for symptom analysis and secure MySQL database with RBAC.
Examination Seating Arrangement System
June 1, 2026 – Present
• Built Python-based automation system for exam hall seating allocation. • Reduced manual scheduling effort by 70% using algorithm-based seat distribution.
Cybersecurity Essentials
Microsoft & LinkedIn Learning
June 1, 2026 – Present
Generative AI Fundamentals
LinkedIn Learning
June 1, 2026 – Present
Cybersecurity Foundations
LinkedIn Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and problem-solving skills, particularly in applying ML/NLP and automation. The internship provides practical experience in a professional setting. The certifications in Cybersecurity and Generative AI show a proactive approach to learning and staying current with industry trends. The project diversity (ML-based expert system, automation system) and the blend of academic and internship experience suggest a good foundational fit for a dynamic technical environment. However, the experience level is entry-level, which might require more mentorship in a senior team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to identify problems and implement algorithmic solutions to improve efficiency (e.g., reducing manual effort by 70%, workflow processing time by 30%). The internship experience suggests a capacity for debugging and testing, which are crucial for operational roles. However, without specific psychometric or English test results, a deeper assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration is not possible.