BOLLOJU PRAKASH
Bengaluru
Summary
Accomplished Software Engineer with strong experience in building, optimizing, and maintaining scalable software systems at BOSCH. Skilled in Python, Java, and end-to-end CI/CD pipelines, ensuring high reliability, automation, and smooth production deployments. dept at developing microservices, integrating APIs, and improving system performance through robust DevOps practices. Proven ability to streamline development workflows, enhance build and release processes, and contribute to stable, enterprise-grade software solutions. Focused on advancing expertise in DevOps engineering and modern software development while delivering impactful solutions.
Overview
2026
2026
years of professional experience
1
1
Certification
Work History
Software Engineer
BOSCH
- Designed, developed, and maintained scalable software solutions for enterprise-level applications, ensuring high performance, reliability, and security across diverse business domains.
- Led the implementation of robust backend modules and RESTful APIs, optimising data flow and reducing system response time by 25%.
- Collaborated closely with cross-functional teams-including product managers, QA engineers, and DevOps-to define requirements, prioritise features, and deliver high-quality releases on schedule.
- Conducted comprehensive end-to-end testing and debugging, utilising CI/CD pipelines (Jenkins, GitHub Actions) to automate build, test, and deployment processes, resulting in a 30% reduction in deployment time and fewer post-release defects.
- Worked on data preprocessing, feature engineering, and model training using Python and popular ML frameworks like TensorFlow, and conducted performance tuning, model evaluation, and ensured scalability of AI/ML applications.
- Performed extensive data preprocessing and feature engineering on large datasets, improving model accuracy, and robustness.
- Built, trained, and fine-tuned models using Python and frameworks such as TensorFlow, scikit-learn, and achieving a 15% increase in predictive performance for targeted use cases.
- Conducted model evaluation, hyperparameter tuning, and scalability assessments to ensure seamless integration into production environments.
Machine Learning Engineer INTERN
BOSCH
08.2022 - 05.2023
AI Engineer INTERN
JP MORGAN CHASE AND CO.
06.2023 - Current
- Automated parts of the ML workflow, reducing manual intervention, and accelerating experimentation cycles.
- Interfaced with real-time stock price data feeds, leveraging JP Morgan Chase's proprietary frameworks and tools to process and visualise financial data for trading teams.
- Developed interactive dashboards and visualisations to support traders in identifying actionable trends and patterns within large datasets.
- Applied pattern recognition techniques to historical and live data, contributing to the development of predictive analytics tools for financial markets.
Researcher
KL UNIVERSITY ROBOT LEARNING LAB
11.2021 - 12.2022
- Worked with Ashish and Prof Raja Rajeswari to create PlanIt, a tool which learns from large scale user preference feedback to plan robot trajectories in human environments and detect the crop diseases.
Education
B.Tech - Computer Science
K L UNIVERSITY
05.2023
Senior Secondary Education - MPC
SASI EDUCATIONAL INSTITUTE
05.2018
Skills
- Python
- C
- Java
- JavaScript
- MySQL
- PostgreeSQL
- Amazon DynamoDB
- AWS Lambda
- Apache Kafka
- API Gateway
- CI/CD pipelines
- HTML
- CSS
- Angular
- GitHub
- Git
- Jenkins
- JUnit
- Pytest
- AWS
- Azure
- Object Oriented Programming
- Reactjs
- Nodejs
- Data Structures and Algorithms
- Docker
- Kubernetes
- Scripting Pipelines
- BitBucket
- Maven
- Spring Boot
- Distributed Systems
- RestfulAPI's
- JWT
- OAuth
- Postman
Certification
- Google Data Analytics Professional Certificate, 01/2025
- Multi-Cloud Networking Associate, 12/2024
- Oracle Autonomous Database Cloud, Specialist, 11/2024
- Advanced RPA Professional(V11.0), 07/2021
- Oracle Cloud Infrastructure Developer Associate, 08/2021
Project
Capturing Motion of an Object, Designed an OpenCV-based model to track object motion, analyzing and calculating the time an object remains within a specific frame for accurate motion detection. E-COMMERCE WEBSITE, Developed Ecommerce Website using Angular as front end, MySQL as database language and Node.JS for server side language.
Publications
Comparative performance analysis of quantum algorithm with machine learning algorithms on diabetes mellitus, M. A. P. R. BBNS. Prakash, B. Naveen, IEEE, 2023
Hobbies and Interests
- Coding
- Listening Music
- Economics
- Chess
- Badminton
Social Networks
- LinkedIn, https://www.linkedin.com/in/prakash-bolloju-54a2451aa/
- GitHub, https://github.com/prakash699
- Personal Website, https://www.prakashbolloju.in/
- IEEE, https://ieeexplore.ieee.org/abstract/document/10090957
Timeline
AI Engineer INTERN
JP MORGAN CHASE AND CO.
06.2023 - Current
Machine Learning Engineer INTERN
BOSCH
08.2022 - 05.2023
Researcher
KL UNIVERSITY ROBOT LEARNING LAB
11.2021 - 12.2022
Software Engineer
BOSCH
B.Tech - Computer Science
K L UNIVERSITY
Senior Secondary Education - MPC
SASI EDUCATIONAL INSTITUTE