AI Engineer with less than a year in Machine Learning and Python development.
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Assessing your cultural and operational fit
Computer Science Engineering graduate with hands-on experience in Machine Learning, Python development, and full-stack web applications. Skilled in Python, React.js, Scikit-Learn, MySQL, and REST APIs, with experience building AI-powered and data-driven solutions. Strong foundation in Data Structures, Algorithms, OOP, and Software Development, demonstrated through 300+ coding challenges and real-world projects.
A.G.M. Rural College of Engineering & Technology
B.E. · Computer Science Engineering
August 1, 2022 – June 30, 2026
Prism PU College
XII · PCMB
June 1, 2020 – May 31, 2022
B.Μ.Ε.M.H.S.
SSLC
June 1, 2019 – May 31, 2020
Dyashin Technosoft Pvt. Ltd.
AIML Intern
February 1, 2026 – Present
India
Invoice Fraud Detection & Financial Anomaly Monitoring
January 1, 2026 – Present
Developed an AI-powered fraud detection system using Python, Scikit-Learn, Pandas, and anomaly detection algorithms. Engineered features from financial transaction datasets to improve fraud identification accuracy by 20%. Automated transaction monitoring and generated risk alerts for suspicious activities.
Online Complaint Registration Portal
January 1, 2025 – December 31, 2025
Developed a full-stack complaint management portal using HTML, CSS, JavaScript, and MySQL. Implemented complaint tracking, status monitoring, and role-based access control for improved user management. Designed responsive user interfaces that enhanced accessibility across desktop and mobile devices.
Blood Management & Donation System
January 1, 2025 – December 31, 2025
Built a database-driven blood donation platform connecting donors and hospitals through real-time request management. Implemented donor registration, blood request tracking, and inventory management features. Integrated automated donor notification functionality to accelerate responses to urgent blood requirements.
AI/ML Internship Certification
Dyashin Technosoft, Pvt, Ltd, Bangalore
June 1, 2026 – Present
Cyber Security Certification
EXCELR
June 1, 2026 – Present
OSCode Lead Certificate
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong interest in both AI/ML and full-stack development, indicating versatility. The personal projects show initiative and a drive to apply learned skills to real-world problems. The 'Invoice Fraud Detection' project directly aligns with the target role of an AI Engineer, showcasing relevant domain interest. The breadth of technologies used across projects (Python, Java, JavaScript, various databases) suggests an openness to learning and adapting to different tech stacks. The participation in Smart India Hackathon 2025 also points to a collaborative and innovative mindset.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse technical challenges, from full-stack web development to AI/ML applications. The internship experience suggests a capacity for practical application of theoretical knowledge and collaboration within a professional setting. The mention of solving 300+ coding problems implies problem-solving skills and dedication. However, without direct behavioral assessment, specific soft skills like teamwork, leadership, or adaptability cannot be fully evaluated.