AI Engineer with less than a year in data science, software development, and machine learning.
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Assessing your cultural and operational fit
ML Engineer specializing in computer vision and end-to-end model development. Proven track record building production-grade deep learning models (CNN, transfer learning) achieving 96%+ accuracy. Experienced in cloud deployment (Supabase), data pipeline design, and team leadership. Seeking roles in ML Engineering / AI Development to build scalable, real-world applications.
Padmabhooshan Vasantadada Patil Institute of Technology
B.E. Computer Engineering · Computer Engineering
November 1, 2022 – Present
Vishwanathappa Hurne Junior College
Higher Secondary Education
June 1, 2020 – May 31, 2022
Hackveda
Data Science Intern
January 1, 2026 – April 1, 2026
India
Triveni Tech
Software Development Intern
November 1, 2025 – December 1, 2025
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Nexgen Analytix
Data Analytics Intern - Team Lead
January 1, 2025 – February 22, 2025
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Intelligent Pomegranate Monitoring System Using Computer Vision & Semantic Reasoning
April 1, 2026 – June 1, 2026
Built a CNN-based computer vision model to detect citrus leaf diseases (Black Spot, Canker) achieving 96% validation accuracy Applied preprocessing and augmentation techniques and explored transfer learning to improve real-time detection speed
View ProjectHandwritten Digit Recognition System (CNN)
November 1, 2025 – December 1, 2025
Developed and optimized a CNN classifier for MNIST dataset achieving 98.5% accuracy with reduced training time by 40% through hyperparameter tuning. Implemented data augmentation and batch normalization for robustness.
View ProjectOracle Cloud Infrastructure 2025 Certified AI Foundations Associate
Oracle Cloud Infrastructure
October 1, 2025 – Present
Oracle Cloud Infrastructure 2025 Certified Generative AI Professional
Oracle Cloud Infrastructure
October 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, including academic projects in computer vision and internships in data science and software development, shows a broad interest in technical domains. The certifications in OCI AI and Generative AI align well with an AI Engineer role. However, the experience is primarily internship-level and academic, which might require more mentorship in a senior role. The target role of AI Engineer is well-aligned with the candidate's stated summary and project work.
Soft Skills & Operational Fit
The candidate demonstrates good communication skills through clear project and experience descriptions. The psychometric test score suggests a moderate fit for logical reasoning, work attitude, stress handling, and team collaboration. The team lead experience indicates leadership potential and cross-functional collaboration skills.