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I'm a Senior Python Developer and AI Engineer with 9 years of experience designing and delivering scalable, cloud-native, AI-driven solutions in high-performance environments. I specialize in production-grade Generative AI applications, retrieval-augmented generation (RAG) pipelines, LLM-powered assistants, and secure healthcare workloads in HIPAA-compliant settings. I build robust backend services, observability and governance practices, and end-to-end MLOps pipelines to enable rapid, reliable AI-enabled workflows for clinicians, lab teams, and operations. I thrive on cross-functional collaboration to translate clinical and operational needs into resilient data and AI platforms. My hands-on experience spans Vertex AI, GPT-4, LangChain, FAISS, Pinecone, and data ecosystems (BigQuery, Snowflake, PostgreSQL), along with CI/CD, Docker/Kubernetes, and multi-cloud deployments. I’m passionate about prompt engineering, model governance, and delivering measurable business impact through scalable GenAI capabilities.…I'm a Senior Python Developer and AI Engineer with 9 years of experience designing and delivering scalable, cloud-native, AI-driven solutions in high-performance environments. I specialize in production-grade Generative AI applications, retrieval-augmented generation (RAG) pipelines, LLM-powered assistants, and secure healthcare workloads in HIPAA-compliant settings. I build robust backend services, observability and governance practices, and end-to-end MLOps pipelines to enable rapid, reliable AI-enabled workflows for clinicians, lab teams, and operations. I thrive on cross-functional collaboration to translate clinical and operational needs into resilient data and AI platforms. My hands-on experience spans Vertex AI, GPT-4, LangChain, FAISS, Pinecone, and data ecosystems (BigQuery, Snowflake, PostgreSQL), along with CI/CD, Docker/Kubernetes, and multi-cloud deployments. I’m passionate about prompt engineering, model governance, and delivering measurable business impact through scalable GenAI capabilities.

Sai Sashanksaidchowdary

AI Engineer, Data Scientist, Full Stack Developer, +2

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I'm a Senior Python Developer and AI Engineer with 9 years of experience designing and delivering scalable, cloud-native, AI-driven solutions in high-performance environments. I specialize in production-grade Generative AI applications, retrieval-augmented generation (RAG) pipelines, LLM-powered assistants, and secure healthcare workloads in HIPAA-compliant settings. I build robust backend services, observability and governance practices, and end-to-end MLOps pipelines to enable rapid, reliable AI-enabled workflows for clinicians, lab teams, and operations. I thrive on cross-functional collaboration to translate clinical and operational needs into resilient data and AI platforms. My hands-on experience spans Vertex AI, GPT-4, LangChain, FAISS, Pinecone, and data ecosystems (BigQuery, Snowflake, PostgreSQL), along with CI/CD, Docker/Kubernetes, and multi-cloud deployments. I’m passionate about prompt engineering, model governance, and delivering measurable business impact through scalable GenAI capabilities.…I'm a Senior Python Developer and AI Engineer with 9 years of experience designing and delivering scalable, cloud-native, AI-driven solutions in high-performance environments. I specialize in production-grade Generative AI applications, retrieval-augmented generation (RAG) pipelines, LLM-powered assistants, and secure healthcare workloads in HIPAA-compliant settings. I build robust backend services, observability and governance practices, and end-to-end MLOps pipelines to enable rapid, reliable AI-enabled workflows for clinicians, lab teams, and operations. I thrive on cross-functional collaboration to translate clinical and operational needs into resilient data and AI platforms. My hands-on experience spans Vertex AI, GPT-4, LangChain, FAISS, Pinecone, and data ecosystems (BigQuery, Snowflake, PostgreSQL), along with CI/CD, Docker/Kubernetes, and multi-cloud deployments. I’m passionate about prompt engineering, model governance, and delivering measurable business impact through scalable GenAI capabilities.

Available to hire

I’m a Senior Python Developer and AI Engineer with 9 years of experience designing and delivering scalable, cloud-native, AI-driven solutions in high-performance environments. I specialize in production-grade Generative AI applications, retrieval-augmented generation (RAG) pipelines, LLM-powered assistants, and secure healthcare workloads in HIPAA-compliant settings. I build robust backend services, observability and governance practices, and end-to-end MLOps pipelines to enable rapid, reliable AI-enabled workflows for clinicians, lab teams, and operations.

I thrive on cross-functional collaboration to translate clinical and operational needs into resilient data and AI platforms. My hands-on experience spans Vertex AI, GPT-4, LangChain, FAISS, Pinecone, and data ecosystems (BigQuery, Snowflake, PostgreSQL), along with CI/CD, Docker/Kubernetes, and multi-cloud deployments. I’m passionate about prompt engineering, model governance, and delivering measurable business impact through scalable GenAI capabilities.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior AI Engineer / ML Engineer at Kaiser Permanente

April 1, 2023 - Present

Led the migration of legacy healthcare systems to a cloud-native microservices architecture using Python (FastAPI, Django) and React. Modernized SOAP services, implemented GraphQL, and built Health Connect middleware to ensure HIPAA compliance and HL7 data exchange. Designed automated CI/CD pipelines and implemented MLOps for GenAI features. Deployed scalable AI services via Docker/Kubernetes with Prometheus, Grafana, and ELK for observability. Collaborated with data science teams to deploy ML models in production (MLflow, SageMaker) and delivered GPT-4 powered assistants and RAG workflows. Established governance, prompt engineering standards, and reusable templates for reliable LLM behavior. Developed retrieval-augmented generation pipelines with LangChain, FAISS, Pinecone, and BigQuery.

Senior Software Engineer (AI/ML Engineer | GenAI | Full Stack Python) at New York State Department of Labor

June 1, 2022 - March 31, 2023

Developed cloud-native web and mobile applications for claims and benefits migration using Python (FastAPI, Django) and ReactJS with secure, real-time data integration. Built serverless REST APIs on AWS Lambda, and integrated across EC2, S3, Elastic Beanstalk. Implemented ML models with scikit-learn and Pandas, supported geospatial analytics, and contributed to open-source Python tools. Performed data validation using R and Excel VBA. Delivered Power BI/Tableau dashboards, and ensured security hardening aligned with HIPAA-like standards. Led testing, documentation, and production rollout.

Machine Learning Engineer / Python Developer at Cyberminds Inc

January 1, 2022 - May 1, 2022

End-to-end development of big data pipelines and predictive analytics supporting ERP/CRM and IoT platforms. Built real-time data workflows with Apache Spark, PySpark, and AWS Glue; developed deep learning models for classification and anomaly detection (TensorFlow, PyTorch, Scikit-learn). Created dynamic dashboards with Tableau and Power BI, and automated CI/CD for data/ML apps. Integrated Tableau with HDFS, MongoDB, and Cassandra, and connected to cloud sources (AWS Athena, GCS). Implemented CI/CD, Jira-based project workflows, and reusable UI components in React.

Research Assistant | AR/VR, Virtual Reality & AI at University of Central Missouri

October 1, 2021 - January 1, 2022

Worked in a Mixed Reality lab to build AR/VR applications for education, safety, and fashion domains. Implemented immersive experiences with Unity3D and AWS cloud services, integrating Unity-based AR modules with cloud-hosted Python APIs to sync real-time spatial data. Collaborated on NLP-driven assistants in VR training and built internal tooling to visualize telemetry from VR headsets.

Management Trainee – Data Science at Captain Strategy

November 1, 2019 - December 1, 2020

Developed full-stack Python data science solutions for multiple clients. Built ML pipelines (classification, regression, clustering) with Scikit-Learn, Pandas, and NumPy; developed NLP pipelines with NLTK; created REST APIs using Python Serverless Framework; delivered dashboards with Power BI and Tableau; automated data workflows and open-source tooling; contributed to data governance and predictive analytics for marketing and operations.

Management Trainee – Data Science at Hitachi Systems Micro Clinic

January 1, 2019 - October 1, 2019

Led analytics and automation initiatives including customer segmentation, dashboards, and predictive modeling. Built backend logic with Python/Django, created Elasticsearch services, and visualized data with Tableau and Highcharts. Automated ML pipelines and contributed to cloud deployments with AWS.

MS SQL Server Developer at ICICI Bank

June 1, 2016 - December 1, 2018

Developed SQL-based solutions for investment services automation. Implemented stored procedures, ETL jobs, and reporting with T-SQL/SSIS; built backend utilities and APIs; supported fraud detection ML workflows; deployed internal chatbot prototypes using Rasa/Flask and integrated with knowledge base for investments FAQs.