Hi, I'm Praneeth Regonda, a Full Stack Developer with 3+ years of experience building scalable financial platforms using Java (Spring Boot), Node.js, React.js, and PostgreSQL. I enjoy architecting microservices, enabling reliable, real-time data access for traders and analysts, and delivering robust APIs with strong security and CI/CD automation on AWS and Azure DevOps. I also explore Generative AI and Retrieval-Augmented Generation (RAG) to accelerate insights—building LangChain-based pipelines and OpenAI integrations to streamline research and decision-making. I thrive in collaborative, agile teams and love turning complex requirements into maintainable, high-performance software.

Praneeth Regonda

Hi, I'm Praneeth Regonda, a Full Stack Developer with 3+ years of experience building scalable financial platforms using Java (Spring Boot), Node.js, React.js, and PostgreSQL. I enjoy architecting microservices, enabling reliable, real-time data access for traders and analysts, and delivering robust APIs with strong security and CI/CD automation on AWS and Azure DevOps. I also explore Generative AI and Retrieval-Augmented Generation (RAG) to accelerate insights—building LangChain-based pipelines and OpenAI integrations to streamline research and decision-making. I thrive in collaborative, agile teams and love turning complex requirements into maintainable, high-performance software.

Available to hire

Hi, I’m Praneeth Regonda, a Full Stack Developer with 3+ years of experience building scalable financial platforms using Java (Spring Boot), Node.js, React.js, and PostgreSQL. I enjoy architecting microservices, enabling reliable, real-time data access for traders and analysts, and delivering robust APIs with strong security and CI/CD automation on AWS and Azure DevOps.

I also explore Generative AI and Retrieval-Augmented Generation (RAG) to accelerate insights—building LangChain-based pipelines and OpenAI integrations to streamline research and decision-making. I thrive in collaborative, agile teams and love turning complex requirements into maintainable, high-performance software.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Full Stack Developer at Bloomberg
November 1, 2024 - November 14, 2025
Oversaw enterprise-grade financial analytics platforms by architecting and deploying full-stack solutions with Java (Spring Boot) and React.js, enabling real-time access to market data and faster trade decisions. Developed and optimized RESTful APIs using Spring Boot and AWS Lambda, integrating Bloomberg datasets with external financial feeds to maintain 24/7 data availability and seamless synchronization across trading systems. Enhanced backend scalability and performance through Spring Data JPA, multithreading, and PostgreSQL tuning, reducing average query time from 1.8 seconds to under 1 second while handling millions of daily financial transactions. Strengthened data security with Spring Security, JWT, and OAuth 2.0, achieving SOC 2 and GDPR compliance. Automated pipelines with Jenkins, Docker, Kubernetes, and AWS ECS, reducing manual deployment effort by 10+ hours per sprint. Built a Retrieval-Augmented Generation (RAG) system using LangChain, OpenAI Embeddings, and Pinecone, enab
Backend Developer at Infosys
July 1, 2023 - July 1, 2023
Delivered backend systems using Node.js, Express.js, and RESTful APIs to enable seamless communication between enterprise modules, reducing data synchronization delays and improving client reporting accuracy. Migrated relational databases from MySQL to PostgreSQL, refactoring queries, optimizing indexing, and implementing partitioning to handle 10M+ records. Modernized legacy backend infrastructure by decomposing monolithic applications into Dockerized microservices orchestrated via Kubernetes, cutting deployment time from 2 hours to under 30 minutes and enabling multi-region scalability. Optimized API performance through caching, MongoDB and PostgreSQL query tuning, and load balancing, lowering average response time from 1.5 seconds to 600 milliseconds for high-traffic systems. Established robust authentication and authorization with JWT and OAuth 2.0. Built event-driven microservices leveraging Redis, RabbitMQ, and Node.js Streams to process over 5 million financial transactions dail
Full Stack Developer at Bloomberg
November 1, 2024 - November 18, 2025
Architect enterprise-grade financial analytics platforms using Java (Spring Boot) and React.js for real-time market data, develop and optimize RESTful APIs, improve data security via Spring Security/JWT/OAuth 2.0, automate CI/CD with Jenkins/Docker/Kubernetes/AWS ECS, implement RAG with LangChain and OpenAI embeddings, and enhance frontend performance with modular components.

Education

Master of Science in Information Systems at Pace University
January 11, 2030 - May 1, 2025
Master of Science in Information Systems at Pace University
January 11, 2030 - May 1, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Software & Internet, Professional Services, Other