Software Developer Computer Science

Nithish Kumar Pulipeta

+1-417-***-**** *************@*****.***

Career Objective : Seeking a responsible career where my abilities can be highly utilized in a growth ori- ented and professional environment.

EDUCATION

Missouri State University (Sprinfield, MO)

Masters of science in Computer Science (Aug’22 - May’24)

Cumulative GPA : 3.20 / 4

B V Raju Institute of Technology (Hyderabad, India) Bachelor of Technology in Computer Science and Engineering (Aug’16 - May’20)

Cumulative GPA : 8.91 / 10

WORK EXPERIENCE

TATA CONSULTANCY SERVICES (Hyderabad, Telanagana, India)

(Jan’20 - July’22)

Worked as Software developer and deployed scalable Java applications, ensuring high-quality code and performance.

Developed Spring Boot four layers including model, DAO, Service, and Controller to perform CRUD operations on the database.

Managed SQL and NoSQL databases (e.g., MySQL, MongoDB) to support application require- ments.

Implemented business logic in multi-tier systems with Apache Kafka and Java 8, including Streams, Lambda expressions, and Functional interfaces.

Conducted code reviews and performance tuning to optimize applications.Performed unit testing, integration testing, and debugging to ensure system reliability.

Experienced in working with tools like Git, Maven, Jenkins, GCP, Jira, Docker, Eclipse, and Visual Studio Code.

PROJECTS

Citi Banking

(Jan’20 - July’22)

In my role as a Java Developer at Citi Bank, I lead the development of vital financial applications, ensuring compliance with industry regulations.

Specializing in transaction processing systems and risk management solutions, I integrate Java applications with legacy systems, fortifying data security with encryption measures.

Through performance optimization techniques, I enhance system scalability and responsiveness.

Operating within an Agile framework, I collaborate with cross-functional teams to deliver high- quality software solutions promptly.

My work contributes significantly to Citi Bank’s operational efficiency, regulatory adherence, and overall success in the financial services sector.

ACADEMIC PROJECTS

Design of Intelligent Classroom Attendence System (Btech Project)

(July’20 - May’20)

Automatic face recognition(AFR) technologies are now widely used for Security and Commercial applications.

An Automated system for human face recognition in a real time which can be useful for college to mark attendence for students.

Using Real Time Face Recognition is areal world solution which comes with day to day activites of handling various activities.

Statistical tools such as Linear Discriminant Analysis(LDA),Principal Component Analysis(PCA),Kernel Methods,Neural Networks,Eigen-faces have been used for construction of face templates. TECHNICAL SKILLS

Programming: C,C++,JAVA,Python,Javascript, PHP.

Good knowledge in PEGA CSA and CSSA.

Database:SQL,MySQL,DB2, Spanner.

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