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I am a full stack developer with 5 years of experience designing scalable applications, specializing in Python, React, and serverless microservices to deliver AI-powered business solutions. I design backend and frontend integrations, craft high-performance REST and GraphQL APIs, and prioritize automated testing and security to ensure reliable software. I thrive in cloud-native environments and collaborate with product managers, designers, and ML engineers to bring Generative AI, LLM-based features, and predictive analytics to market while prioritizing performance, observability, and user-centric UX across large-scale deployments.…I am a full stack developer with 5 years of experience designing scalable applications, specializing in Python, React, and serverless microservices to deliver AI-powered business solutions. I design backend and frontend integrations, craft high-performance REST and GraphQL APIs, and prioritize automated testing and security to ensure reliable software. I thrive in cloud-native environments and collaborate with product managers, designers, and ML engineers to bring Generative AI, LLM-based features, and predictive analytics to market while prioritizing performance, observability, and user-centric UX across large-scale deployments.

Satya Kudulla

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

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I am a full stack developer with 5 years of experience designing scalable applications, specializing in Python, React, and serverless microservices to deliver AI-powered business solutions. I design backend and frontend integrations, craft high-performance REST and GraphQL APIs, and prioritize automated testing and security to ensure reliable software. I thrive in cloud-native environments and collaborate with product managers, designers, and ML engineers to bring Generative AI, LLM-based features, and predictive analytics to market while prioritizing performance, observability, and user-centric UX across large-scale deployments.…I am a full stack developer with 5 years of experience designing scalable applications, specializing in Python, React, and serverless microservices to deliver AI-powered business solutions. I design backend and frontend integrations, craft high-performance REST and GraphQL APIs, and prioritize automated testing and security to ensure reliable software. I thrive in cloud-native environments and collaborate with product managers, designers, and ML engineers to bring Generative AI, LLM-based features, and predictive analytics to market while prioritizing performance, observability, and user-centric UX across large-scale deployments.

Available to hire

I am a full stack developer with 5 years of experience designing scalable applications, specializing in Python, React, and serverless microservices to deliver AI-powered business solutions. I design backend and frontend integrations, craft high-performance REST and GraphQL APIs, and prioritize automated testing and security to ensure reliable software.

I thrive in cloud-native environments and collaborate with product managers, designers, and ML engineers to bring Generative AI, LLM-based features, and predictive analytics to market while prioritizing performance, observability, and user-centric UX across large-scale deployments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Full Stack Developer at Shopify (Shopify Magic)

April 1, 2024 - Present

Co-led the development of scalable, serverless Python (FastAPI) microservices interfacing with LLM APIs (OpenAI, Anthropic) to power AI product description generation for 1M+ merchants. Engineered asynchronous backend workflows using Redis, PostgreSQL, and S3 to boost throughput by 40% and ensure reliability under peak loads. Frontend integration involved embedding AI modules into Shopify Admin with React.js, TypeScript, and Polaris, reducing preview latency by 30%. Designed and deployed serverless services on AWS for real-time AI inference and secure API integrations at global scale. Developed modular RESTful and GraphQL APIs with RBAC and OAuth2 for security and scalability. Orchestrated distributed microservices with Kubernetes and Helm for autoscaling and observability via Prometheus, Grafana, and Sentry. Maintained CI/CD pipelines with GitHub Actions and Docker for rapid feature delivery. Collaborated in Agile sprints with PMs, designers, and ML engineers to refine AI outputs and

Python Developer at Cognizant India

July 1, 2023 - September 16, 2025

Assisted in developing an AI-driven price optimization engine for a retail client using Python, Django, and ML models, increasing profit margins by 12%. Supported the design of a predictive healthcare analytics platform leveraging PyTorch, FastAPI, and PostgreSQL, helping reduce patient readmission rates by 15%. Developed and analyzed a crop science optimization system with TensorFlow, geospatial APIs, and React dashboards, improving yield prediction accuracy by 20%. Designed and implemented end-to-end applications using Python (Django, Flask, FastAPI), React, TypeScript, and Next.js. Built and integrated data pipelines and APIs with PySpark, Airflow, GraphQL, and REST, while managing PostgreSQL, MongoDB, and Redis. Deployed cloud-native applications on AWS (Lambda, S3, RDS, SageMaker) using Docker & Kubernetes, ensuring high availability and scalable performance. Automated CI/CD workflows with GitHub Actions, Jenkins, Terraform, and Ansible, improving deployment speed and reducing rel

Full Stack Developer at IBM India

June 1, 2021 - September 16, 2025

Co-developed JouleOS, a cloud-native AI platform for power demand forecasting, achieving 98.2% accuracy and helping state electricity boards cut over-procurement costs. Assisted in designing and deploying AI-driven sales forecasting models that improved prediction accuracy by 25% and reduced unsold inventory, boosting revenue optimization across Jack & Jones, Vero Moda, and Only. Supported cross-functional teams by developing scalable microservices and APIs with Python (Flask/FastAPI), containerized using Docker & Kubernetes on IBM Cloud, enabling real-time insights and reducing planning cycles by 30%. Developed interactive dashboards with React.js, TypeScript, and Material UI, seamlessly integrated with Python APIs, enhancing user experience and driving adoption of the AI-powered platform across business units. Analyzed large-scale retail sales data by building end-to-end ETL pipelines using Python, SQL, Pandas, and Apache Airflow, ensuring automated ingestion, data accuracy, and retr

Full Stack Developer at Shopify (Shopify Magic)

April 1, 2024 - Present

Co-led the development of scalable, serverless Python (FastAPI) microservices interfacing with LLM APIs (OpenAI, Anthropic), powering AI product description generation for 1M+ merchants. Jointly engineered asynchronous backend workflows using Redis, PostgreSQL, and S3, boosting request throughput by 40% and ensuring reliability under peak loads. Equally contributed to frontend integration, embedding AI modules into Shopify Admin with React.js, TypeScript, and Polaris, cutting preview latency by 30%. Collaborated on serverless AWS deployments, implementing RBAC and OAuth2, and orchestrating distributed microservices with Kubernetes and Helm, with observability via Prometheus, Grafana, and Sentry. Supported CI/CD pipelines via GitHub Actions and Docker for rapid feature delivery.

Python Developer at Cognizant India

July 1, 2023 - October 6, 2025

Assisted in developing an AI-driven price optimization engine for a retail client using Python, Django, and ML models, increasing profit margins by 12%. Supported design of a predictive healthcare analytics platform leveraging PyTorch, FastAPI, and PostgreSQL, helping reduce patient readmission rates by 15%. Built data pipelines and APIs with PySpark, Airflow, GraphQL, and REST; deployed cloud-native apps on AWS with Lambda, S3, RDS; automated CI/CD with GitHub Actions, Jenkins, Terraform, and Ansible; implemented Generative AI integrations (LangChain, Hugging Face, LLM APIs).

Full Stack Developer at IBM India

June 1, 2021 - October 6, 2025

Co-developed JouleOS, a cloud-native AI platform for power demand forecasting, achieving 98.2% accuracy and enabling state electricity boards to reduce procurement costs. Designed AI-driven sales forecasting models that improved accuracy by 25% and reduced unsold inventory. Built scalable microservices and APIs with Python (Flask/FastAPI), Docker & Kubernetes on IBM Cloud; created interactive React/TypeScript dashboards; built ETL pipelines with Python, SQL, Pandas, and Airflow.

Full Stack Developer at Shopify (Shopify Magic)

April 1, 2024 - Present

Co-led the development of scalable, serverless Python (FastAPI) microservices interfacing with LLM APIs (OpenAI, Anthropic), powering AI product description generation for 1M+ merchants. Engineered asynchronous backend workflows using Redis, PostgreSQL, and S3, boosting throughput by 40% and ensuring reliability under peak loads. Integrated AI modules into Shopify Admin with React.js, TypeScript, and Polaris, reducing preview latency by 30%. Designed and deployed serverless services on AWS for real-time AI inference and secure API integrations at global scale. Developed modular RESTful and GraphQL APIs with RBAC and OAuth2 for security and scalability. Orchestrated distributed microservices with Kubernetes and Helm, implemented observability with Prometheus, Grafana, and Sentry. Maintained CI/CD pipelines via GitHub Actions and Docker. Collaborated in Agile sprints with PMs, designers, and ML engineers to improve AI outputs and UX. Achieved 95% test coverage using PyTest, Jest, and Rea

Python Developer at Cognizant India

July 1, 2023 - October 6, 2025

Assisted in developing an AI-driven price optimization engine for a retail client using Python, Django, and ML models, increasing profit margins by 12%. Supported the design of a predictive healthcare analytics platform with PyTorch, FastAPI, and PostgreSQL, helping reduce patient readmission rates by 15%. Developed a crop science optimization system with TensorFlow, geospatial APIs, and React dashboards, improving yield prediction accuracy by 20%. Built end-to-end applications using Python (Django, Flask, FastAPI), React, TypeScript, and Next.js; created data pipelines and APIs with PySpark, Airflow, GraphQL, and REST; managed PostgreSQL, MongoDB, Redis. Deployed cloud-native applications on AWS (Lambda, S3, RDS, SageMaker) using Docker & Kubernetes; automated CI/CD with GitHub Actions, Jenkins, Terraform, and Ansible. Applied modern full-stack practices in microservices, serverless computing, ML Ops (MLflow, Kubeflow), and Generative AI integration (LangChain, Hugging Face, LLM APIs)

Full Stack Developer at IBM India

June 1, 2021 - October 6, 2025

Co-developed JouleOS, a cloud-native AI platform for power demand forecasting, achieving 98.2% accuracy and helping state electricity boards cut over-procurement costs. Assisted in designing and deploying AI-driven sales forecasting models that improved prediction accuracy by 25% and reduced unsold inventory, boosting revenue optimization across Jack & Jones, Vero Moda, and Only. Supported cross-functional teams by developing scalable microservices and APIs with Python (Flask/FastAPI), containerized using Docker & Kubernetes on IBM Cloud, enabling real-time insights and reducing planning cycles by 30%. Developed interactive dashboards with React.js, TypeScript, and Material UI, seamlessly integrated with Python APIs, enhancing user experience and driving adoption of the AI-powered platform. Analyzed large-scale retail sales data by building end-to-end ETL pipelines using Python, SQL, Pandas, and Apache Airflow, ensuring automated ingestion, data accuracy, and retraining of ML models fo

Python Developer at Cognizant India

July 1, 2021 - July 1, 2023

Developed an AI-driven price optimization engine for a retail client using Python, Django, and ML models, increasing profit margins by 12%. Supported predictive healthcare analytics platform leveraging PyTorch, FastAPI, and PostgreSQL, helping reduce patient readmission rates by 15%. Built a crop science optimization system with TensorFlow, geospatial APIs, and React dashboards, improving yield prediction accuracy by 20%. Delivered end-to-end applications using Python (Django, Flask, FastAPI), React, TypeScript, and Next.js, ensuring scalable frontends. Built data pipelines and APIs with PySpark, Airflow, GraphQL, and REST, while managing SQL/NoSQL databases (PostgreSQL, MongoDB, Redis). Deployed cloud-native apps on AWS (Lambda, S3, RDS, SageMaker) using Docker & Kubernetes; automated CI/CD workflows with GitHub Actions, Jenkins, Terraform, and Ansible; applied ML Ops and Generative AI integration (LangChain, Hugging Face) to deliver scalable, future-ready applications.

Full Stack Developer at IBM India

June 1, 2019 - June 1, 2021

Co-developed JouleOS, a cloud-native AI platform for power demand forecasting, achieving 98.2% accuracy and helping state electricity boards cut procurement costs. Assisted in designing and deploying AI-driven sales forecasting models that improved prediction accuracy by 25% and reduced unsold inventory, boosting revenue optimization across multiple brands. Supported cross-functional teams by developing scalable microservices and APIs with Python (Flask/FastAPI), containerized using Docker & Kubernetes on IBM Cloud, enabling real-time insights and reducing planning cycles by 30%. Developed interactive dashboards with React.js, TypeScript, and Material UI, enhancing UX and driving adoption of the AI-powered platform. Analyzed large-scale retail sales data with ETL pipelines using Python, SQL, Pandas, and Apache Airflow, ensuring automated ingestion, data accuracy, and retraining of ML models. Leveraged GraphQL, REST APIs, PostgreSQL, Redis, Docker, Kubernetes, GitHub Actions, Jenkins, A