Lakshita Gaur
New Delhi
Summary
Dynamic Software Development Engineer with experience at Fidelity International, specializing in Java, Spring Boot, and AWS. Proven track record in enhancing microservices architecture and implementing CI/CD pipelines. Strong problem-solving skills complemented by effective collaboration in cross-functional teams, ensuring high-quality, scalable solutions in fast-paced environments.
Overview
3
3
years of professional experience
1
1
Certification
Work History
Software Development Engineer - 1
Fidelity International
Gurugram
08.2023 - Current
- Company Overview: The company's purpose is to build better financial futures for their clients, and focus on delivering sustainable investment returns.
- Engineered customized microservices for seamless integration and enhanced functionality using Java, Spring Boot, AWS, AngularJS, JUnit, Jenkins, Cucumber, and GitHub.
- Successfully migrated microservices to Kubernetes after performing version upgrades from Java 8 to Java 17, and Spring Boot 2 to 3.4, ensuring improved scalability and performance.
- Implemented CI/CD pipelines using Jenkins for automated testing and deployment.
- Developed RESTful APIs and microservices architecture to support high-availability systems.
- Conducted thorough unit and integration testing with JUnit and Cucumber to ensure code quality and reliability.
- Managed code repositories and version control through GitHub, collaborating with cross-functional teams.
- This involved upgrading the versions of these frameworks and libraries, and testing the applications to ensure they worked correctly after the upgrades.
- Implemented Azure SSO on an application currently running in production, using React.
- I am an AWS Certified Cloud Practitioner and have a good knowledge of AWS Cloud Services.
Data Science Intern
Krishify
Gurugram
07.2022 - 08.2023
- Company Overview: The largest video app for Indian farmers to help them maximise the ROI on time spent online on their phones
- During my internship, the primary task was to contribute to the Cattle Tag Prediction project, which aimed to forecast specific data related to cattle management
- At the project's outset, there was no existing data available to build accurate prediction models
- To overcome this challenge, we manually created a dataset by leveraging captions and posts related to animal husbandry
- These captions served as templates, and we assumed that the data they contained represented complete and accurate information, which could be used for predictive modeling
Education
BTECH - Data Science Specialization
The NorthCap University
Gurugram05.2023
Class XII - PCM
Ramjas International School
Rk Puram05.2019
Skills
- Programming Languages: Java, Python
- Frameworks & Tools: Spring Boot, AngularJS, AWS, JUnit, Jenkins, Cucumber, Git/GitHub
- Cloud Platforms: AWS (EC2, S3, Lambda)
- Other Skills: SQL, Machine Learning, Data Visualization, OOPS, DBMS
Accomplishments
2nd Runner-Up at Codexthon MNIT - Project - Skin Burn Image Classification
Projects
Skin Burn Image (Classification and Prediction), During my internship, I worked on a project focused on predicting the degree of burns on the skin using image data. The system utilized pre-trained models to analyze images of various burn degrees. The models were designed to accurately classify the severity of burns based on the input images. The project was temporarily deployed using Gradio, allowing for an interactive interface to test and demonstrate the model's capabilities.
Certification
- AWS Cloud Practitioner
Timeline
Software Development Engineer - 1
Fidelity International
08.2023 - Current
Data Science Intern
Krishify
07.2022 - 08.2023
BTECH - Data Science Specialization
The NorthCap University
Class XII - PCM
Ramjas International School
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