Rahul Dwivedi

Software Engineer

Bengaluru, Karnataka, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Developed a Smart Inventory & Billing System
Completed JPMorgan Chase Software Engineering Virtual Experience
Strong understanding of Data Structures & Algorithms

Stackforce AI infers this person is a Full Stack Java Developer with a focus on Data Science and AI applications.

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Skills

Core Skills

Data ScienceArtificial Intelligence (ai)Natural Language Processing (nlp)

Other Skills

Exploratory Data AnalysisPython (Programming Language)Machine Learning (ML) FundamentalsMySQLSpring BootMicroservicesSpring SecurityREST APIsHibernateJPAGitGitHubAgile development practices

About

🚀 Full Stack Java Developer passionate about building scalable, secure, and efficient web applications. I have hands-on experience with Java, Spring Boot, Spring Security, Microservices, REST APIs, MySQL, Hibernate, and JPA. Through academic and industry projects, I have developed backend services, database-driven applications, and responsive web solutions. 💡 Key Highlights: • Developed a Smart Inventory & Billing System with Role-Based Access Control (RBAC), inventory management, and automated billing. • Completed the JPMorgan Chase Software Engineering Virtual Experience, gaining exposure to API development, Apache Kafka, backend architecture, and database integration. • Strong understanding of Data Structures & Algorithms, Object-Oriented Programming, DBMS, Operating Systems, and System Design. • Experience with Git, GitHub, and Agile development practices. I am actively seeking opportunities as a Java Developer / Software Engineer where I can contribute to impactful projects, enhance my technical expertise, and grow as a software professional. 📩 Open to connecting with recruiters, developers, and industry professionals. #OpenToWork

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Innovexis

Data Science Intern

Jan 2026 – May 2026 · 4 mos · India · Remote

Successfully delivered 5+ end-to-end data science and analytics projects over a 4-month period. Conducted extensive data cleaning, exploratory data analysis (EDA), and feature engineering using Python (Pandas, NumPy) to prepare datasets for modeling. Developed and evaluated predictive machine learning models, optimizing performance for accurate forecasting. Designed interactive dashboards and reports to visualize key metrics and data trends, bridging the gap between technical modeling and business intelligence.

Exploratory Data AnalysisPython (Programming Language)Data Science

Tata group (via forage)

GenAI Powered Data Analytics Job Simulation

Nov 2025 – Nov 2025 · 0 mo · India · Remote

Successfully completed a project-based simulation focused on integrating Generative AI into a collections strategy to improve delinquency prediction and operational efficiency.

Data Science

Codealpha

Artificial Intelligence Virtual Intern

Sep 2025 – Sep 2025 · 0 mo · India · Remote

Active participant focused on AI fundamentals. Recognised for strong analytical skills and high productivity in adapting to new technologies (as per Letter of Recommendation).

Artificial Intelligence (AI)Machine Learning (ML) Fundamentals