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Hi, I'm Niharika Gurram, a passionate computer science master's student with a strong background in full stack development and machine learning. I love building efficient, scalable solutions, particularly in the energy and hybrid systems domain. I enjoy working on projects that combine my software engineering skills with cloud and big data technologies. With experience at L&T Construction and Indian Servers, I've honed my abilities in Java, Angular, AWS automation, data streaming, and machine learning model development. I'm always excited to collaborate and innovate with other tech enthusiasts to create impactful software solutions.…Hi, I'm Niharika Gurram, a passionate computer science master's student with a strong background in full stack development and machine learning. I love building efficient, scalable solutions, particularly in the energy and hybrid systems domain. I enjoy working on projects that combine my software engineering skills with cloud and big data technologies. With experience at L&T Construction and Indian Servers, I've honed my abilities in Java, Angular, AWS automation, data streaming, and machine learning model development. I'm always excited to collaborate and innovate with other tech enthusiasts to create impactful software solutions.

Niharika Gurram

Full Stack Developer, Developer, Programmer, +1

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Hi, I'm Niharika Gurram, a passionate computer science master's student with a strong background in full stack development and machine learning. I love building efficient, scalable solutions, particularly in the energy and hybrid systems domain. I enjoy working on projects that combine my software engineering skills with cloud and big data technologies. With experience at L&T Construction and Indian Servers, I've honed my abilities in Java, Angular, AWS automation, data streaming, and machine learning model development. I'm always excited to collaborate and innovate with other tech enthusiasts to create impactful software solutions.…Hi, I'm Niharika Gurram, a passionate computer science master's student with a strong background in full stack development and machine learning. I love building efficient, scalable solutions, particularly in the energy and hybrid systems domain. I enjoy working on projects that combine my software engineering skills with cloud and big data technologies. With experience at L&T Construction and Indian Servers, I've honed my abilities in Java, Angular, AWS automation, data streaming, and machine learning model development. I'm always excited to collaborate and innovate with other tech enthusiasts to create impactful software solutions.

Available to hire

Hi, I’m Niharika Gurram, a passionate computer science master’s student with a strong background in full stack development and machine learning. I love building efficient, scalable solutions, particularly in the energy and hybrid systems domain. I enjoy working on projects that combine my software engineering skills with cloud and big data technologies.

With experience at L&T Construction and Indian Servers, I’ve honed my abilities in Java, Angular, AWS automation, data streaming, and machine learning model development. I’m always excited to collaborate and innovate with other tech enthusiasts to create impactful software solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Hindi

Advanced

Work Experience

Full Stack Engineer at L&T Construction

December 31, 2023 - July 11, 2025

Developed and optimized full-stack solutions for charging point management systems, energy storage, and hybrid energy platforms, improving system efficiency and user experience. Designed and integrated REST & Flux APIs, enhancing real-time data handling and boosting performance by 62% in energy management applications. Automated AWS deployment, reducing deployment time by 20 minutes through the implementation of CI/CD pipelines. Resolved critical frontend and backend bugs, increasing system stability and reliability. Optimized database performance, reducing redundancy and improving data retrieval efficiency for power plant controllers and energy storage systems. Applied archival configuration for databases, enhancing primary machine performance. Integrated Kafka and Redis, improving data streaming, caching, and session management. Enhanced code quality and maintainability with SonarQube, achieving a 4% improvement. Developed feature-rich dashboards for hybrid energy systems. Wrote unit

Machine Learning Intern at Indian Servers

July 31, 2021 - July 11, 2025

Performed data preprocessing and feature engineering to clean, process, and analyze large datasets, enhancing model performance. Developed and optimized machine learning models for image classification and predictive analytics, improving accuracy by 4%. Collaborated with cross-functional teams to deploy ML models using TensorFlow, PyTorch, and Scikit-learn. Contributed to research on deep learning and anomaly detection.