Senior Full Stack Developer Python, React, AWS, AI Solutions

SATYA KUDULLA

Full stack developer

San Francisco, CA Open for relocation to Seattle, WA Plano, TX Chicago, IL New York, NY 314-***-**** ****************@*****.*** https://www.linkedin.com/in/satya-kudulla-88096321b/ SUMMARY

• Full Stack Developer with 5 year’s experience designing scalable applications, specializing in Python, React, and serverless microservices to deliver AI-powered business solutions with measurable outcomes.

• Skilled in backend and frontend integration, building high-performance REST and GraphQL APIs, enhancing user experiences through modern frameworks, automated testing, and robust security practices.

• Experienced in AWS cloud-native development, deploying serverless applications, optimizing CI/CD pipelines, and orchestrating distributed microservices with Kubernetes, Helm, and observability tools like Prometheus and Grafana.

• Adept at collaborating cross-functionally with product managers, designers, and ML engineers to integrate LLM APIs, Generative AI, and predictive analytics into innovative, customer-centric platforms. PROFESSIONAL EXPERIENCE

Full Stack developer, April 2024 - Present

Shopify (Shopify Magic) San Francisco, CA

• 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%.

• Collaboratively designed and deployed serverless services on AWS, enabling real-time AI inference and secure API integrations at global scale.

• Co-developed modular RESTful and GraphQL APIs, implementing RBAC and OAuth2 to uphold data security and architectural scalability.

• Jointly orchestrated distributed microservices with Kubernetes and Helm, driving autoscaling and observability with Prometheus, Grafana, and Sentry.

• Partnered in maintaining CI/CD pipelines via GitHub Actions and Docker, ensuring continuous integration and rapid, low-risk feature delivery.

• Worked cross-functionally in Agile sprints with PMs, designers, and ML engineers to refine AI outputs, improve UX, and enhance model accuracy.

• Contributed to robust automated testing strategy, achieving 95% coverage with PyTest, Jest, and React Testing Library, reducing bugs by 60%.

• Equally responsible for AI-first product innovation, ensuring scalability, compliance, and adoption across a merchant base exceeding one million users.

Python Developer July 2021 – July 2023

Cognizant India

• Assisted in developing an AI-driven price optimization engine for a retail client using Python, Django, and ML models, which increased 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, ensuring scalable and responsive solutions.

• Built and integrated data pipelines and APIs with PySpark, Airflow, GraphQL, and REST, while managing SQL/NoSQL databases (PostgreSQL, MongoDB, Redis).

• Deployed cloud-native applications on AWS (Lambda, S3, RDS, SageMaker) using containerization with Docker & Kubernetes, ensuring high availability and scalable performance.

• Automated CI/CD workflows with GitHub Actions, Jenkins, Terraform, and Ansible, improving deployment speed and reducing release errors by 30%.

• Applied modern full-stack practices in microservices, serverless computing, ML Ops (MLflow, Kubeflow), and Generative AI integration (LangChain, Hugging Face, LLM APIs) to deliver scalable, future-ready applications. Full Stack Developer June 2019 – June 2021

IBM India

• 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 retraining of ML models for reliable forecasts.

• Leveraged GraphQL, REST APIs, PostgreSQL, Redis, Docker, Kubernetes, GitHub Actions, Jenkins, Ansible, and AWS Lambda to deliver scalable, cloud-native solutions with observability and AI integration. TECHNICAL SKILLS

Programming & Scripting: Python (FastAPI, Flask, Django), JavaScript (ES6+), TypeScript, SQL, PySpark, Bash Frontend Development: React.js, Next.js, Redux, Polaris (Shopify), Material UI, HTML5, CSS3, SASS Backend & APIs: RESTful APIs, GraphQL, OAuth2, RBAC, Microservices Architecture, Asynchronous Workflows Databases & Data Engineering: PostgreSQL, MongoDB, Redis, SQL/NoSQL, Data Pipelines (Airflow, PySpark, Pandas), ETL Design

Cloud & DevOps: AWS (Lambda, S3, RDS, SageMaker, EKS), Azure (AKS, Data Lake), IBM Cloud, Docker, Kubernetes, Helm, Terraform, Ansible, Jenkins, GitHub Actions, CI/CD Automation AI/ML & Data Science: LLM APIs (OpenAI, Anthropic), Hugging Face, LangChain, TensorFlow, PyTorch, MLflow, Kubeflow, Generative AI Integration, AI-driven Forecasting & Optimization Testing & Quality Assurance: PyTest, Jest, React Testing Library, Unit & Integration Testing, Automated Test Coverage Monitoring & Observability: Prometheus, Grafana, Sentry, Logging & Metrics Pipelines, Distributed Tracing Collaboration & Methodologies: Agile/Scrum, Cross-functional Teaming, Product Lifecycle Management, Secure Development Practices

Soft Skills: Problem Solving, Communication, Collaborative Work, Agile/Scrum, Stakeholder Engagement, Code Reviews EDUCATION

Saint Louis University

Master of Science Information Systems

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