Headline

Software Developer Intern @ TAP Academy | Java Full Stack Developer | Spring Boot | React | MySQL | Python | AI & Machine Learning | Ex-Intern Infosys

About

I am a Software Engineer Intern at TAP Academy with a strong foundation in Java Full Stack Development and Artificial Intelligence. I enjoy building scalable, real-world applications and continuously improving my skills in software engineering through hands-on projects and practical experience. My technical expertise includes Java, Spring Boot, React, MySQL, Python, REST APIs, HTML, CSS, JavaScript, and Machine Learning. I have developed end-to-end applications such as FoodVerse, a food ordering platform built using Java Full Stack technologies, and HireMind AI, an AI-powered candidate ranking system that leverages machine learning and natural language processing to streamline the recruitment process. Previously, I completed internships with Infosys Springboard and Edunet Foundation, where I worked on AI and cloud-based solutions. These experiences strengthened my understanding of machine learning, data analysis, and intelligent application development while enhancing my problem-solving and collaborative skills. I am passionate about designing efficient backend systems, developing user-centric web applications, and exploring the latest advancements in AI. I believe in continuous learning, writing clean and maintainable code, and solving meaningful problems through technology. Technical Skills: Java, Spring Boot, React, MySQL, Python, Machine Learning, REST APIs, HTML, CSS, JavaScript, Git, GitHub. I am actively seeking Software Engineer, Java Full Stack Developer, and Backend Developer opportunities where I can contribute, learn from experienced professionals, and grow as a software engineer.

Location

Bengaluru

AI stack

antigravity

claude code

cursor

gemini

github copilot

hugging face

Work experience

Software Engineer Intern at TAP Academy, Jan 2026 - Present · 9 mos, Btm layout

Artifical intelligence intern at Infosys Springboard, Oct 2025 - Jan 2026 · 4 mos, Bengaluru, Karnataka, India, • AI Shipment Sure – Delivery Risk Prediction Using Machine Learning & AI: Built using Python, Streamlit, Machine Learning, SHAP, Pandas, NumPy, Matplotlib, and Scikit-learn to predict shipment delivery delays, analyze logistics features, provide realtime risk classification, and generate explainable AI insights for better decision-making

Ai & Cloud intern at Edunet Foundation, Sep 2025 - Oct 2025 · 2 mos, Remote

Education

Bachelor of Engineering, Computer Engineering, Dr. ACS College of Engineering

Public links

github: https://github.com/darshiniml