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Software Engineer with 4+ years in Artificial Intelligence, Machine Learning, and SAP technologies.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Developer with 2+ years of experience in Artificial Intelligence, Machine Learning, Data Science, and SAP technologies. Skilled in Python, SAP fundamentals, and web development with hands-on experience in building scalable applications and enterprise solutions.
Sharnbasava University
M.Tech · AI, ML & Data Science
August 1, 2023 – June 30, 2023
Appa Institute of Engineering & Technology
B.Sc · Computer Science
August 1, 2021 – June 30, 2021
NxtWave
Software Development Trainee
January 1, 2024 – Present
India
SourceTechInfo Institute
Software Developer & SAP Trainee
January 1, 2023 – December 31, 2024
India
Fake Face Detection using CNN
June 1, 2026 – June 1, 2026
Developed deep learning model for detecting fake images. Built web interface for user interaction. Used CNN architecture for high accuracy prediction.
AI/ML Project Development Experience
Unknown
June 1, 2026 – Present
Freelancing & Client Project Delivery
Unknown
June 1, 2026 – Present
SAP AI & BTP Training
SourceTechInfo Institute
January 1, 2023 – Present
Cultural Fit Analysis
The candidate has experience in both academic projects (Fake Face Detection) and industry roles (NxtWave, SourceTechInfo Institute), indicating adaptability to different work environments. The interest in SAP AI, Software Development, and Problem Solving aligns with a growth-oriented and solution-focused culture. The diverse exposure to AI/ML, web development, and enterprise solutions (SAP) suggests a broad technical interest, which can be beneficial for cross-functional collaboration. However, the short duration in some roles and the lack of detailed team collaboration experiences make a deep assessment of cultural fit challenging.
Soft Skills & Operational Fit
The candidate's resume indicates experience in problem-solving and client project delivery, suggesting an ability to work on practical solutions and potentially manage project aspects. The description of improving code performance and debugging skills points to a focus on operational quality. However, without specific examples or further details, it's difficult to assess the depth of these soft skills or their direct operational fit beyond basic development tasks.