Nivedita Singh

Software Engineer

Bengaluru, Karnataka, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Proficient in Java and Spring Boot for backend development.
Hands-on experience in machine learning and predictive analytics.
Strong foundation in full-stack development with MERN stack.

Stackforce AI infers this person is a Full Stack Developer with a focus on Software Development and Machine Learning.

Contact

Skills

Core Skills

JavaSpring BootMachine LearningPython

Other Skills

AWS (EC2, S3)Application ArchitectureApplication DevelopmentArtificial Intelligence (AI)CCI/CD PipelinesCRUD operationCascading Style Sheets (CSS)Code RefactoringCommunicationComputer Information SystemsData CleaningData structures and algorithms (C++)Database Management System (DBMS)Deep Learning

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Multisystems

Software Engineer-1

Nov 2025 – Present · 7 mos · United States · Remote

Itjobxs

Software Engineer

Jul 2025 – Oct 2025 · 3 mos · Remote · Remote

Inventeron technologies

Full Stack Web Developer Intern

Feb 2025 – Jun 2025 · 4 mos · Bengaluru, Karnataka, India · On-site

Working as a Java Software Developer Intern at Inventeron Technologies, where I focus on building scalable and efficient software solutions. My key contributions include:
✅ Backend Development – Developing and optimizing backend systems using Java, Spring Boot, and MySQL.
✅ API Development & Integration – Creating RESTful APIs for seamless communication between microservices.
✅ Database Management – Designing efficient database schemas and queries to improve application performance.
✅ Debugging & Performance Optimization – Identifying and fixing bugs to enhance system reliability.
✅ Collaborative Agile Development – Working in an Agile environment, contributing to code reviews and team discussions.
This internship is strengthening my expertise in Java development, software engineering, and backend technologies. 🚀

JavaSpring BootMySQLRESTful APIs

Eisystems services

Data Scientist

May 2024 – Jul 2024 · 2 mos · Remote · Remote

As a Data Science Intern at EISystems Services, I contributed to building machine learning solutions aimed at enhancing predictive analytics capabilities. My major accomplishments include:
✅ Developed a Google Play App Rating Prediction System – Implemented machine learning models including Linear Regression, Decision Trees, Random Forest, and Gradient Boosting to accurately predict app ratings and improve insights.
✅ Data Cleaning & Feature Engineering – Transformed and prepared high-volume datasets to boost model accuracy and ensure reliable outcomes.
✅ Tech Stack: Python, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn.
✅ Model Performance Tuning – Leveraged hyperparameter optimization techniques to fine-tune models for better performance and generalization.
This internship sharpened my skills in machine learning workflows, exploratory data analysis, and predictive modeling, empowering me to create data-driven, scalable AI solutions. 🚀

PythonScikit-learnMachine LearningData CleaningFeature Engineering