Headline

Open to Work | Immediate Joiner | Java Full Stack Developer | Spring Boot | React.js | Microservices | REST APIs | AWS | Docker | Kubernetes | Kafka | SQL | Python | Databricks | GenAI | LLMs | AI Agents

About

Results-oriented Full-Stack Developer with hands-on experience in building microservices-based, scalable web applications using Spring Boot, React, and AWS. Proficient in developing RESTful APIs, integrating front-end and back-end systems, and implementing secure, high-performance solutions. Skilled in Java, React.js, and AWS cloud services (EC2, S3, Lambda, RDS), with a strong understanding of CI/CD pipelines and containerization using Docker. Adept at working in Agile environments, collaborating with cross-functional teams, and following best coding practices to ensure clean, maintainable code. Passionate about solving complex problems, optimizing application performance, and delivering reliable cloud-ready software solutions.Additional skills include problem solving using data structures, algorithms and design patterns(LLD).

Location

India

AI stack

anthropic apis

claude

gemini

hugging face

langchain

langsmith

Work experience

Software Engineer at Redaptive, Inc, Jun 2023 - Present · 3 yrs 2 mos, Pune District, - Designed and implemented a scalable distributed system microservice for automated case creation, improving operational efficiency. - Fixed 100% (45+) of security vulnerabilities reported in AWS Inspector scans across 3 Spring Boot repositories, strengthening system security and compliance. - Added auditable fields to critical entities, ensuring traceability of user modifications and supporting internal audit requirements. - Developed a Python script to detect discrepancies in site-to-customer mappings, identifying and helping resolve mismatches. - Resolved critical and high-severity issues reported by SonarQube across multiple microservices, improving the overall code quality rating to A. - Implemented data aggregation jobs and contributed to Delta Live Table (DLT) pipelines processing streaming records while migrating data from AWS Timestream to Databricks. - Reduced AWS costs by analyzing CloudWatch logs and removing redundant logging across AWS Lambda functions. - Created a data analysis script to identify mismatch causes between internal and external water meter systems, reducing unresolved discrepancy cases. - Decommissioned 10+ legacy AWS Lambda functions and eliminated daily DynamoDB writes by migrating workloads to Databricks. - Enhanced the Gas Error Code reporting system by including blank error-code meters, improving device monitoring and system observability. - Created a vulnerability remediation guide adopted by 4+ cross-functional teams, reducing the average security fix turnaround time.

Intern at Integral Ad Science, Jul 2022 - Jun 2023 · 1 yr, India, - Implemented a proof of concept (POC) for the integration and testing of the Meta NLLB model. - Implemented CloudWatch monitoring for GPU metrics in AWS. - Deployed support for multiple languages to an in-house language monitoring system. - Conducted integration testing for Spring Boot applications using Testcontainers and JUnit.

Education

Bachelor of Technology - BTech, Computer Science, Vishwakarma Institute of Technology

Public links

github: https://github.com/ra625