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Hi, I am Surya Kant Swain, an AI/ML Architect and Cloud Solutions Leader with 8+ years of experience building intelligent, data-driven systems on AWS using SageMaker, Python, and modern MLOps frameworks. I specialize in microservices and API design (FastAPI, Flask) and pair technical depth with a strategic mindset for AI adoption, team enablement, and cloud-native optimization. I am passionate about mentoring engineers and driving enterprise-scale AI transformation through automation, scalability, and innovation. I love partnering with product, architecture, and CloudOps teams to translate business needs into scalable ML architectures and measurable ROI.…Hi, I am Surya Kant Swain, an AI/ML Architect and Cloud Solutions Leader with 8+ years of experience building intelligent, data-driven systems on AWS using SageMaker, Python, and modern MLOps frameworks. I specialize in microservices and API design (FastAPI, Flask) and pair technical depth with a strategic mindset for AI adoption, team enablement, and cloud-native optimization. I am passionate about mentoring engineers and driving enterprise-scale AI transformation through automation, scalability, and innovation. I love partnering with product, architecture, and CloudOps teams to translate business needs into scalable ML architectures and measurable ROI.

Surya Kant Swain

AI Engineer, Cloud Developer, Full Stack Developer, +2

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Hi, I am Surya Kant Swain, an AI/ML Architect and Cloud Solutions Leader with 8+ years of experience building intelligent, data-driven systems on AWS using SageMaker, Python, and modern MLOps frameworks. I specialize in microservices and API design (FastAPI, Flask) and pair technical depth with a strategic mindset for AI adoption, team enablement, and cloud-native optimization. I am passionate about mentoring engineers and driving enterprise-scale AI transformation through automation, scalability, and innovation. I love partnering with product, architecture, and CloudOps teams to translate business needs into scalable ML architectures and measurable ROI.…Hi, I am Surya Kant Swain, an AI/ML Architect and Cloud Solutions Leader with 8+ years of experience building intelligent, data-driven systems on AWS using SageMaker, Python, and modern MLOps frameworks. I specialize in microservices and API design (FastAPI, Flask) and pair technical depth with a strategic mindset for AI adoption, team enablement, and cloud-native optimization. I am passionate about mentoring engineers and driving enterprise-scale AI transformation through automation, scalability, and innovation. I love partnering with product, architecture, and CloudOps teams to translate business needs into scalable ML architectures and measurable ROI.

Available to hire

Hi, I am Surya Kant Swain, an AI/ML Architect and Cloud Solutions Leader with 8+ years of experience building intelligent, data-driven systems on AWS using SageMaker, Python, and modern MLOps frameworks. I specialize in microservices and API design (FastAPI, Flask) and pair technical depth with a strategic mindset for AI adoption, team enablement, and cloud-native optimization.

I am passionate about mentoring engineers and driving enterprise-scale AI transformation through automation, scalability, and innovation. I love partnering with product, architecture, and CloudOps teams to translate business needs into scalable ML architectures and measurable ROI.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Work Experience

Sr. Python/AI Engineer at Wells Fargo

April 1, 2025 - November 18, 2025

Designed and deployed Python-based microservices using FastAPI and AWS Lambda to power scalable ML inference APIs. Developed Python SDKs to automate data ingestion, feature engineering, and SageMaker model deployment. Created modular ETL frameworks leveraging Pandas, PyArrow, and Boto3, integrated with S3 and Redshift. Implemented event-driven data workflows using Python and Step Functions for asynchronous model training triggers. Built custom decorators and middleware to standardize logging, retries, and observability in FastAPI. Developed multi-threaded data preprocessing utilities to reduce training time and integrated PyTest, Hypothesis into CI/CD for validation. Partnered with product, architecture, and CloudOps to design scalable AWS-based ML architectures using SageMaker, Lambda, and ECS Fargate. Implemented end-to-end MLOps pipelines with SageMaker training, model registry, and Step Functions orchestration. Created asynchronous inference services with monitoring and retries; in

Sr. Lead Python Developer at Dell Technologies

March 1, 2025 - March 1, 2025

Architected Python REST APIs for model inference and metadata management using Flask/FastAPI. Wrote ETL jobs for data ingestion from RDS and S3, transforming datasets for SageMaker pipelines. Created Python wrappers for TensorFlow and PyTorch model deployment automation. Implemented async streaming services for real-time inference pipelines using asyncio and RabbitMQ. Built batch scoring orchestration, integrated with Step Functions and SQS. Refactored legacy monolithic scripts into modular Python packages using dependency injection. Designed Redis caching to optimize API performance and reduce compute costs. Developed data validation tools using Pydantic and Marshmallow. Integrated Python-based Airflow DAGs for retraining triggers and data versioning. Deployed cloud-native ML microservices on AWS EKS and Lambda, enabling scalable predictive analytics. Implemented MLOps automation with SageMaker, MLflow, and Airflow for model retraining and validation pipelines. Developed Flask and Fas

Sr. Python Engineer at NIKE

November 1, 2024 - November 1, 2024

Spearheaded the development of an AI-driven SaaS product leveraging LLMs for document automation. Designed scalable APIs integrating generative AI and NLP capabilities using LangChain and OpenAI. Implemented multi-modal AI models combining text, image, and speech processing. Developed and deployed a real-time AI chatbot capable of contextual understanding using embeddings. Optimized fine-tuned Llama and GPT models to reduce latency while maintaining high-quality outputs. Managed cloud-based AI pipelines on AWS, ensuring cost-efficient scaling of inference workloads. Designed robust data preprocessing pipelines and conducted extensive benchmarking of various LLM architectures to select optimal solutions. Led cross-functional collaboration between data scientists, engineers, and product teams to integrate AI solutions. Deployed AI monitoring and logging systems to track model performance and mitigate drift.

Sr. Python Developer at Wells Fargo

December 1, 2021 - December 1, 2021

Developed AI-powered recommendation engines using collaborative filtering and deep learning techniques. Built and maintained full-stack applications integrating AI models with web-based interfaces. Designed and optimized backend services with FastAPI and Flask for high-performance AI applications. Led the migration of ML models from local environments to scalable cloud-based deployment. Built containerized applications using Docker and Kubernetes, optimizing model inference performance. Integrated AI-based fraud detection models into financial applications, reducing false positives. Collaborated with UI/UX teams to create intuitive AI-driven user experiences. Researched and implemented advanced NLP models for sentiment analysis and chatbot applications. Developed end-to-end MLOps pipelines for automating model training and deployment. Conducted rigorous testing and debugging to improve application reliability and security.

Sr. Python Developer at McAfee

September 1, 2020 - September 1, 2020

Designed and deployed machine learning models for predictive analytics in cloud-based environments. Developed scalable API endpoints for AI models, improving response times. Fine-tuned transformer-based models for various business applications, including text classification. Optimized ML pipelines using Airflow and Spark to enhance real-time data processing. Led the integration of AI-driven customer analytics tools, improving retention strategies. Managed cloud-based ML infrastructure, reducing costs through optimization. Created model versioning strategies for maintaining and updating AI models in production. Implemented automated monitoring systems for tracking AI performance in real-world use cases. Conducted security audits to ensure AI models adhered to industry best practices. Provided technical mentorship to junior engineers and data scientists.

Software Engineer at SanDisk

April 1, 2018 - April 1, 2018

Assisted in the development of a cloud-based VoIP system. Built API endpoints for call routing and session management. Worked on Twilio SMS and voice integrations. Wrote unit tests to improve application reliability. Optimized SQL queries to reduce response times. Developed logging and error-handling mechanisms. Deployed applications using Jenkins and Docker. Created comprehensive API documentation. Assisted in database indexing to improve query performance. Participated in Agile development sprints and stand-up meetings.

Software Engineer at LG Electronics

May 1, 2016 - May 1, 2016

Developed small-scale web applications using Python and Django. Assisted in REST API development and integration. Wrote automation scripts to improve deployment efficiency. Conducted unit testing using PyTest. Managed database migrations with Django ORM. Provided technical support for debugging and troubleshooting. Created detailed documentation for features. Optimized database queries to enhance performance. Learned and implemented Agile methodologies. Assisted in developing authentication and authorization modules.