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I'm a results-driven software developer with 3+ years of experience building full-stack, cloud-native, and AI/ML-powered applications across enterprise environments in the U.S. and India. I have deep expertise in developing scalable machine learning pipelines using Apache Spark, Delta Lake, and MLflow on the Databricks Lakehouse Platform. I'm proficient in Java, Python, React.js, Node.js, and Spring Boot, with a track record of delivering high-performance microservices, reducing latency, and accelerating feature delivery.\n\nI excel at deploying cloud infrastructure and CI/CD pipelines using AWS, Docker, and GitHub Actions to ensure fast, secure, and reliable releases. I am known for strong communication, problem-solving, and cross-functional collaboration—consistently aligning technical solutions with business goals and driving measurable value for stakeholders.…I'm a results-driven software developer with 3+ years of experience building full-stack, cloud-native, and AI/ML-powered applications across enterprise environments in the U.S. and India. I have deep expertise in developing scalable machine learning pipelines using Apache Spark, Delta Lake, and MLflow on the Databricks Lakehouse Platform. I'm proficient in Java, Python, React.js, Node.js, and Spring Boot, with a track record of delivering high-performance microservices, reducing latency, and accelerating feature delivery.\n\nI excel at deploying cloud infrastructure and CI/CD pipelines using AWS, Docker, and GitHub Actions to ensure fast, secure, and reliable releases. I am known for strong communication, problem-solving, and cross-functional collaboration—consistently aligning technical solutions with business goals and driving measurable value for stakeholders.

Sathvik Rao Nemmani

Developer, AI Engineer, Full Stack Developer, +2

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I'm a results-driven software developer with 3+ years of experience building full-stack, cloud-native, and AI/ML-powered applications across enterprise environments in the U.S. and India. I have deep expertise in developing scalable machine learning pipelines using Apache Spark, Delta Lake, and MLflow on the Databricks Lakehouse Platform. I'm proficient in Java, Python, React.js, Node.js, and Spring Boot, with a track record of delivering high-performance microservices, reducing latency, and accelerating feature delivery.\n\nI excel at deploying cloud infrastructure and CI/CD pipelines using AWS, Docker, and GitHub Actions to ensure fast, secure, and reliable releases. I am known for strong communication, problem-solving, and cross-functional collaboration—consistently aligning technical solutions with business goals and driving measurable value for stakeholders.…I'm a results-driven software developer with 3+ years of experience building full-stack, cloud-native, and AI/ML-powered applications across enterprise environments in the U.S. and India. I have deep expertise in developing scalable machine learning pipelines using Apache Spark, Delta Lake, and MLflow on the Databricks Lakehouse Platform. I'm proficient in Java, Python, React.js, Node.js, and Spring Boot, with a track record of delivering high-performance microservices, reducing latency, and accelerating feature delivery.\n\nI excel at deploying cloud infrastructure and CI/CD pipelines using AWS, Docker, and GitHub Actions to ensure fast, secure, and reliable releases. I am known for strong communication, problem-solving, and cross-functional collaboration—consistently aligning technical solutions with business goals and driving measurable value for stakeholders.

Available to hire

I’m a results-driven software developer with 3+ years of experience building full-stack, cloud-native, and AI/ML-powered applications across enterprise environments in the U.S. and India. I have deep expertise in developing scalable machine learning pipelines using Apache Spark, Delta Lake, and MLflow on the Databricks Lakehouse Platform. I’m proficient in Java, Python, React.js, Node.js, and Spring Boot, with a track record of delivering high-performance microservices, reducing latency, and accelerating feature delivery.\n\nI excel at deploying cloud infrastructure and CI/CD pipelines using AWS, Docker, and GitHub Actions to ensure fast, secure, and reliable releases. I am known for strong communication, problem-solving, and cross-functional collaboration—consistently aligning technical solutions with business goals and driving measurable value for stakeholders.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Advanced

Hindi

Advanced

Work Experience

Software Developer (AI/ML) at Databricks

August 1, 2024 - Present

Designed and deployed scalable end-to-end machine learning pipelines on the Databricks Lakehouse Platform using Delta Lake and Apache Spark, handling datasets exceeding 10TB with 40% faster training cycles. Integrated MLflow for robust experiment tracking and model lifecycle management, reducing deployment lead time by 35%. Collaborated with cross-functional teams to deliver production-grade ML models that increased predictive accuracy by 28%. Operationalized real-time model serving workflows achieving 99.9% uptime and 25% lower latency. Automated CI/CD pipelines for model deployment using GitHub Actions and Databricks Jobs API, enhancing release frequency and minimizing regression risks. Engineered Spark-based data preprocessing and feature engineering workflows, reducing pipeline failures by 45% and improving data reliability.

Software Developer at Wipro

July 1, 2023 - August 22, 2025

Developed and maintained scalable web applications using Java, Python, and Node.js, accelerating feature delivery by 30% across Agile teams. Engineered RESTful APIs and microservices with Spring Boot and Express.js, reducing latency by 20% and improving integration efficiency. Built dynamic front-end interfaces with React.js, JavaScript, and HTML/CSS, enhancing user experience and boosting client engagement scores by 25%. Designed robust data models with SQL Server and MongoDB, improving query performance by 40%. Integrated TensorFlow, Scikit-learn, and OpenCV for AI features like facial recognition and object detection, increasing automation accuracy by 35%. Containerized applications with Docker and deployed on AWS EC2 and Lambda, reducing infrastructure provisioning time by 50%. Collaborated with QA and DevOps teams to implement unit testing and CI/CD pipelines, raising code coverage to 85% and minimizing post-deployment bugs.

Software Developer (AL/ML) at Databricks

August 1, 2024 - Present

Designed and deployed scalable end-to-end ML pipelines on the Databricks Lakehouse Platform, leveraging Delta Lake and Apache Spark to process datasets exceeding 10TB with 40% faster training cycles. Integrated MLflow for experiment tracking, model versioning, and lifecycle management, reducing deployment lead time by 35% and improving traceability across experiments. Collaborated with data engineers and product stakeholders to deliver production-grade ML models, increasing predictive accuracy by 28% and driving key business decisions. Operationalized real-time model serving workflows using Databricks Machine Learning and Unity Catalog, achieving 99.9% service uptime and cutting model latency by 25%. Automated CI/CD pipelines for model testing, validation, and deployment using GitHub Actions and Databricks Jobs API, enhancing release frequency and minimizing regression risks. Engineered Spark-based data preprocessing workflows and feature engineering pipelines using Python, SQL, and Pa

Software Developer at Wipro

July 1, 2023 - September 11, 2025

Developed and maintained scalable web applications using Java, Python, and Node.js, accelerating feature delivery by 30% across cross-functional Agile teams. Engineered RESTful APIs and microservices for client-facing modules using Spring Boot and Express.js, reducing system latency by 20% and improving integration efficiency. Built dynamic front-end interfaces with React.js, JavaScript, and HTML/CSS, improving user experience and boosting client engagement scores by 25%. Designed and implemented robust data models using SQL Server and MongoDB, enhancing query performance by 40% and supporting analytics across 5+ high-volume applications. Integrated TensorFlow, Scikit-learn, and OpenCV into production-grade AI features such as facial recognition and object detection, resulting in a 35% increase in automation accuracy. Containerized application components using Docker and deployed on AWS EC2 and Lambda, reducing provisioning time by 50% and ensuring CI/CD alignment. Collaborated with QA