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Hi, I’m Greeshma Ramapuram, a full stack developer with 4+ years of experience delivering enterprise-scale applications at the intersection of data engineering, AI integration, and cloud-native development. I bring a unique mix of backend architecture, scalable database design, and front-end performance optimization, and I’m comfortable working across teams to ship secure, intelligent, and high-performance systems that scale globally. I enjoy collaborating with data scientists and product teams to build real-time features, AI-driven workflows, and robust cloud deployments. I’m motivated by solving complex problems and delivering delightful user experiences through thoughtful design, testing, and automation.…Hi, I’m Greeshma Ramapuram, a full stack developer with 4+ years of experience delivering enterprise-scale applications at the intersection of data engineering, AI integration, and cloud-native development. I bring a unique mix of backend architecture, scalable database design, and front-end performance optimization, and I’m comfortable working across teams to ship secure, intelligent, and high-performance systems that scale globally. I enjoy collaborating with data scientists and product teams to build real-time features, AI-driven workflows, and robust cloud deployments. I’m motivated by solving complex problems and delivering delightful user experiences through thoughtful design, testing, and automation.

Greeshma Ramapuram

Full Stack Developer, Web Developer, Back-End Developer, +2

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Hi, I’m Greeshma Ramapuram, a full stack developer with 4+ years of experience delivering enterprise-scale applications at the intersection of data engineering, AI integration, and cloud-native development. I bring a unique mix of backend architecture, scalable database design, and front-end performance optimization, and I’m comfortable working across teams to ship secure, intelligent, and high-performance systems that scale globally. I enjoy collaborating with data scientists and product teams to build real-time features, AI-driven workflows, and robust cloud deployments. I’m motivated by solving complex problems and delivering delightful user experiences through thoughtful design, testing, and automation.…Hi, I’m Greeshma Ramapuram, a full stack developer with 4+ years of experience delivering enterprise-scale applications at the intersection of data engineering, AI integration, and cloud-native development. I bring a unique mix of backend architecture, scalable database design, and front-end performance optimization, and I’m comfortable working across teams to ship secure, intelligent, and high-performance systems that scale globally. I enjoy collaborating with data scientists and product teams to build real-time features, AI-driven workflows, and robust cloud deployments. I’m motivated by solving complex problems and delivering delightful user experiences through thoughtful design, testing, and automation.

Available to hire

Hi, I’m Greeshma Ramapuram, a full stack developer with 4+ years of experience delivering enterprise-scale applications at the intersection of data engineering, AI integration, and cloud-native development. I bring a unique mix of backend architecture, scalable database design, and front-end performance optimization, and I’m comfortable working across teams to ship secure, intelligent, and high-performance systems that scale globally.

I enjoy collaborating with data scientists and product teams to build real-time features, AI-driven workflows, and robust cloud deployments. I’m motivated by solving complex problems and delivering delightful user experiences through thoughtful design, testing, and automation.

Skills

Experience Level

Expert

Expert

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Expert

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Expert

Expert

Expert

Expert

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Expert

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Expert

Language

English

Fluent

Work Experience

Full Stack Developer at Databricks

January 1, 2025 - Present

Engineered end-to-end features for a finance analytics platform using Angular, CSS, and WebSockets with back-end services in Node.js, Spring Boot, and Flask, improving user experience and reducing load times by 28%. Scaled data-intensive systems by redesigning PostgreSQL schemas and optimizing AWS DynamoDB integrations, reducing query response times by 35% and preparing the system to handle millions of records with fault tolerance. Introduced real-time streaming pipelines with WebSockets for live dashboards and collaborative analytics, boosting user engagement and reducing data-delivery latency. Led cloud-native deployments on AWS with Terraform, Docker, Jenkins, and GitHub Actions, automating CI/CD pipelines and reducing release cycles by 40% with zero-downtime rollout readiness. Raised code reliability by standardizing JUnit, PyTest, and Selenium, achieving >85% test coverage and improving sprint velocity. Collaborated with engineering and data science teams to integrate LangChain-po

Full Stack Developer at HCLTech

July 1, 2023 - October 13, 2025

Spearheaded development of responsive, high-performance web applications for a retail platform using Django, FastAPI, React.js, and Python, enhancing user experience for 5,000+ concurrent users and reducing backend response times by 25%. Designed and maintained end-to-end ETL pipelines for a healthcare project with Airflow and Pandas, integrating MySQL and MongoDB to automate complex data workflows, enabling faster and more accurate business reporting while reducing manual effort by 30%. Collaborated with data scientists to deploy AI-driven search and recommendation systems using TensorFlow and FAISS, improving content relevancy and driving a 20% increase in engagement metrics. Architected and deployed microservices on AWS (Lambda, S3, EC2, RDS) with Docker and CI/CD pipelines, achieving zero-downtime releases and lowering operational costs by 15%. Implemented OAuth 2.0 and JWT authentication to secure APIs and sensitive user data. Partnered with cross-functional teams to design RESTfu

Full Stack Developer at Databricks

January 1, 2025 - Present

Engineered and enhanced end-to-end features for a finance analytics platform using Angular, CSS, and WebSockets with back-end services in Node.js, Spring Boot, and Flask; redesigned PostgreSQL schemas and optimized AWS DynamoDB integrations to reduce load times and query latency; introduced real-time streaming pipelines with WebSockets for live dashboards; led cloud-native deployments on AWS with Terraform, Docker, Jenkins, and GitHub Actions, cutting release cycles by 40%; standardized JUnit, PyTest, and Selenium to raise test coverage above 85%; collaborated with data science teams to integrate LangChain-powered AI workflows and publish GraphQL APIs.

Full Stack Developer at HCLTech

July 1, 2023 - October 13, 2025

Spearheaded development of responsive, high-performance web applications for a retail platform using Django, FastAPI, React.js, and Python; designed and maintained end-to-end ETL pipelines with Airflow and Pandas, integrating MySQL and MongoDB; collaborated with data scientists to deploy AI-driven search and recommendation systems using TensorFlow and FAISS; architected microservices on AWS (Lambda, S3, EC2, RDS) with Docker and CI/CD pipelines; implemented OAuth 2.0 and JWT authentication; built RESTful and GraphQL APIs; established testing frameworks with JUnit, PyTest, and automated integration tests.

Full Stack Developer at Databricks

January 1, 2025 - Present

Engineered end-to-end features for a finance analytics platform using Angular, CSS, and WebSockets with back-end services in Node.js, Spring Boot, and Flask to improve user experience and reduce load times by 28%. Scaled data-intensive systems by redesigning PostgreSQL schemas and optimizing AWS DynamoDB integrations, cutting query times by 35%, and evolving schemas to support millions of records with fault tolerance. Implemented real-time dashboards via WebSockets, boosting engagement and reducing data latency. Led cloud-native deployments on AWS with Terraform, Docker, Jenkins, and GitHub Actions, cutting release cycles by 40% and enabling near-zero-downtime rollouts. Raised code reliability by standardizing JUnit, PyTest, and Selenium for automated tests, raising coverage above 85% and improving sprint velocity. Collaborated with data science teams to integrate LangChain-powered AI workflows and publish GraphQL APIs for intelligent querying and automated workflows.

Full Stack Developer at HCLTech

July 1, 2023 - October 13, 2025

Spearheaded development of responsive, high-performance web applications for a retail platform using Django, FastAPI, React.js, and Python, improving UX for 5,000+ concurrent users and reducing backend response times by 25%. Designed and maintained end-to-end ETL pipelines with Airflow and Pandas, integrating MySQL and MongoDB to automate complex data workflows, cutting manual effort by 30%. Collaborated with data scientists to deploy AI-driven search and recommendation systems using TensorFlow and FAISS, boosting engagement by 20%. Architected microservices on AWS (Lambda, S3, EC2, RDS) with Docker and CI/CD pipelines, reducing operational costs by 15% and enabling zero-downtime releases. Strengthened API security with OAuth 2.0 and JWT; designed RESTful and GraphQL APIs to accelerate feature delivery by 35% and improve reliability. Established testing frameworks (JUnit, PyTest) with 95%+ test coverage, minimizing post-deployment bugs and improving overall code quality.

Full Stack Developer at Databricks

January 1, 2025 - Present

Engineered end-to-end features for a finance analytics platform, combining Angular, CSS, and WebSockets with back-end services in Node.js, Spring Boot, and Flask, improving user experience and reducing load times by 28%. Scaled data-intensive systems by redesigning PostgreSQL schemas and optimizing AWS DynamoDB integrations, reducing query response times by 35% and enabling millions of records with fault tolerance. Implemented real-time streaming with WebSockets for live dashboards, boosting user engagement. Led cloud-native deployments on AWS with Terraform, Docker, Jenkins, and GitHub Actions, cutting release cycles by 40% and enabling zero-downtime rollouts. Standardized testing frameworks (JUnit, PyTest, Selenium) with 85%+ coverage. Integrated LangChain-powered AI workflows and published GraphQL APIs for intelligent querying and automation.

Full Stack Developer at HCLTech

July 1, 2023 - October 13, 2025

Spearheaded development of responsive, high-performance web applications for a retail platform using Django, FastAPI, React.js, and Python, improving UX for 5,000+ concurrent users and reducing backend response times by 25%. Designed and maintained ETL pipelines with Airflow and Pandas, integrating MySQL and MongoDB for faster business reporting while reducing manual effort by 30%. Collaborated with data scientists to deploy AI-driven search and recommendation systems using TensorFlow and FAISS, increasing engagement by 20%. Architected microservices on AWS (Lambda, S3, EC2, RDS) with Docker and CI/CD, enabling zero-downtime releases and 15% cost reductions. Implemented OAuth 2.0 and JWT for API security. Partnered across teams to design RESTful and GraphQL APIs, accelerating feature delivery by 35% and boosting reliability. Established testing frameworks with JUnit, PyTest, and automated integration tests with 95%+ coverage.

Full Stack Developer at HCLTech

January 1, 2020 - July 1, 2023

Spearheaded development of responsive, high-performance web applications using Django, FastAPI, React.js, and Python, enhancing user experience for 5,000+ concurrent users and reducing backend response times by 25%. Designed and maintained end-to-end ETL pipelines with Airflow and Pandas, integrating MySQL and MongoDB to automate complex data workflows, enabling faster and more accurate business reporting while reducing manual effort by 30%. Collaborated with data scientists to deploy AI-driven search and recommendation systems using TensorFlow and FAISS, improving content relevancy and driving a 20% increase in engagement metrics. Architected and deployed microservices on AWS (Lambda, S3, EC2, RDS) with Docker and CI/CD pipelines, scaling applications efficiently, lowering operational costs by 15%, and ensuring seamless zero-downtime releases. Strengthened application security by implementing OAuth 2.0 and JWT authentication, securing APIs and sensitive user data while reducing potent