Full Stack Developer

Sateesh Kashiraju

Birmingham, AL ********************@*****.*** +1-205-***-**** linkedin.com/in/sateeshkashiraju

SUMMARY

Results-driven Software Engineer with over 2 years of experience in full-stack development, microservices architecture, and data processing. Proficient in Angular, Spring Boot, Kafka, Pentaho ETL, and Liquibase with a strong background in building and deploying APIs, responsive UI dashboards, and financial data integration solutions. Additionally skilled in machine learning models and built sample projects using PyTorch, Hugging Face, and SVD. Currently advancing skills in Data science and machine learning through a master’s program. Passionate about developing scalable, high-performance applications and optimizing data workflows.

TECHNICAL SKILLS

Languages: Python, SQL, SQL, Postgres SQL, Core Java, C++

Web Development: HTML, CSS, TypeScript, Angular, React, Next.js, Node.js, REST APIs

Frameworks: Spring Framework, Kafka

Libraries and Software tools: Pentaho ETL, Tableau, Power BI, GitLab CI/CD selenium, Jira, and Liquibase

Machine learning Models: Scikit-learn, TensorFlow, PyTorch, Deep learning frameworks like CNNs, RNNs, Transformers, Neural network architectures.

EXPERIENCE

Virtusa Consultancy and Services Software Engineer Hyderabad, India 09/2022 – 07/2023

Spearheaded the design and implementation of 10+ microservices, enhancing system modularity and achieving a 40% reduction in deployment times across multiple functionalities.

Developed and optimized over 10+ UI components using Angular, resulting in improved user engagement through enhanced data grid visualization and dashboard interactivity.

Executed comprehensive monitoring of production data logs leading to the identification and resolution of performance bottlenecks, improving system reliability by 25% while reducing bug incidence.

Developed and implemented data extraction, transformation and load process using Pentaho data integration tool to streamline the data across multiple sources.

Analyzed, designed and developed complex database components for optimizing the data processing in the financial reporting project.

Received appreciation from the clients and the onsite leads for analyzing, fixing critical issues, and giving demos in an efficient way.

Virtusa Consultancy and Services Associate Engineer Hyderabad, India 09/2021 – 08/2022

Developed API’s using Postman to test the collected data from various sources into the database using Kafka.

Helped to develop responsive web applications using Angular to display financial reports and charts, which helps the client to make data-driven decisions.

Provided bug fixes and enhancements requested by clients during my initial period.

Supported releases and provided clarifications on functionalities.

PROJECTS

Fund Admin and Financial Reporting

Worked on a financial tech-based project with the team to generate various kinds of reports and data visualization dashboards using client data for financial reporting.

Built responsive UI screens and dashboards using Angular to display financial reports, charts, and data grids, helping clients make data-driven decisions.

Worked on identifying and resolving any technical and business-related issues, which helps the business needs.

Enhanced Pentaho ETL workflows for data integration and transformation.

Utilized GitLab for version control and implemented CI/CD pipelines to automate the build, test, and deployment processes to ensure smooth and efficient delivery of project updates and bug fixes.

Twitter Tweets Sentiment Analysis

Developed a sentiment analysis model using Hugging Face Transformers and PyTorch, classifying tweets into positive, negative, and neutral sentiments.

Built a Flask application to run the saved model and give scores for each sentiment by taking input from a text field.

Performed extensive data preprocessing to ensure optimized model performance and accurate sentiment classification.

Movie Recommendation System Using SVD

Built a movie recommendation system using Singular Value Decomposition (SVD) and TF-IDF vectorization, processing over 1.1 million movie records to provide accurate movie suggestions with a precision of 90 percent.

Performed data preprocessing and model optimization by handling missing values and tuning hyperparameters to ensure efficient and relevant movie suggestions.

EDUCATION

University of Alabama at Birmingham MS in Data Science, Graduation in 2025 Birmingham, AL

CMR Engineering collage BS in computer science Hyderabad, INDIA

ACHIEVEMENTS

Oracle Certified Associate, Java SE 8 Programmer 2021

National level winner of Virtusa Neural Hack - 2020 competition 2020

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