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Software Developer with 2+ years in IoT, Spring Boot & Machine Learning
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Assessing your cultural and operational fit
Unmesh Kapure is an aspiring Software Developer with 2.1 years of combined internship experience in building robust applications. With a strong foundation in backend development using Spring Boot and expertise in integrating IoT systems, Unmesh has contributed to projects involving real-time anomaly detection, data processing, and machine learning for predictive maintenance. Their skills span across Java, Python, Angular, MySQL, and cloud tools, demonstrating a versatile approach to full-stack development and data-driven solutions.
Pune Vidyarthi Griha's College of Engineering and Technology (SPPU)
B.E. · Information Technology
August 1, 2022 – June 30, 2026
Kendriya Vidyalaya No.3, Vimannagar, Pune (CBSE)
Class 12
June 1, 2020 – May 31, 2022
Kendriya Vidyalaya No.3, Vimannagar, Pune (CBSE)
Class 10
June 1, 2010 – May 31, 2020
AI Technology Solutions Pvt. Ltd.
Software Developer Intern
January 1, 2025 – March 31, 2025
Pune, Maharashtra, India
CopperCloud IoT Tech
Project Intern
September 1, 2024 – Present
Pune, Maharashtra, India
Spend Wise A Gen Z Finance Web App
June 28, 2026 – Present
Built a personal finance platform targeting Gen Z with budgeting insights and spending predictions. Developed secure and scalable backend APIs using Springboot with MySQL for efficient data management. Implemented machine learning models using regression algorithm to analyze and forecast user spending behavior.
Financial Fraud Detection Using Value-at-Risk and SMOTE
June 28, 2026 – Present
Conducted research on improving fraud detection in highly imbalanced financial datasets using SMOTE. Applied Value-at-Risk (VaR) methodology combined with ML algorithms such as Naive Bayes, KNN, and Logistic Regression to identify anomalies. Focused on detecting rare fraudulent transactions by tuning threshold probabilities and optimizing model performance metrics.
FinQuest A Gamified Finance Learning Platform
June 28, 2026 – Present
Built a gamified finance learning platform featuring levels, streaks, and interactive modules to simplify core banking concepts and boost user engagement through game-based learning. Developed scalable Spring Boot APIs powering quizzes, progress tracking, badges, XP rewards, and leaderboards, ensuring smooth user progression and real-time performance analytics. Created an engaging Angular UI and scalable architecture for smooth content delivery.
Cultural Fit Analysis
The candidate's projects show a diverse interest in finance applications, machine learning, and IoT, which suggests an adaptable and curious mindset. The personal projects indicate initiative and a passion for technology beyond academic requirements. The blend of backend, frontend, and data science skills aligns well with a dynamic software development environment. However, the experience is primarily academic and internship-based, so their fit in a fast-paced, senior-level corporate culture would need further validation.
Soft Skills & Operational Fit
The candidate demonstrates an ability to collaborate with clients and participate in brainstorming sessions, indicating good communication and teamwork potential. Their project descriptions suggest a proactive approach to problem-solving and a focus on user engagement. The current internship in IoT predictive maintenance shows adaptability and a willingness to learn new domains.