I am a full stack Python engineer with over 4 years of experience building and shipping production web applications, backend APIs, and data pipelines across AWS and Azure. I have delivered ML-powered features end-to-end—from data processing and model development to containerized deployment, monitoring, and ongoing iteration—while maintaining high code quality through testing and strong engineering practices. My experience includes working on GenAI foundations such as AWS Bedrock and GPT-class LLMs, as well as RAG-style patterns involving prompt design, context management, and output parsing to make LLM outputs usable in real systems.
I am comfortable owning ambiguous work, integrating with third-party systems, and collaborating directly with stakeholders to transform messy input into reliable product experiences. My technical competencies span multiple programming languages, frameworks, cloud services, databases, data engineering tools, and DevOps practices. I have a strong background in AI/ML engineering, including building MLOps systems for predictive analytics and customer retention platforms.
In my current role, I design and uphold end-to-end MLOps systems, develop and deploy ML solutions, create robust data pipelines, and build APIs to expose ML model outputs. I emphasize testing and automation to ensure reliability and maintainability. I also contribute to data governance and collaborate closely with DevOps teams for containerized deployments.
Previously, I have built scalable AI platforms leveraging AWS Bedrock and SageMaker, optimized data ingestion pipelines, automated infrastructure provisioning with Terraform and Ansible, and improved data processing speeds using PySpark and Power BI. I have experience working in Agile Scrum environments and applying NLP techniques for text analytics.
Earlier in my career, I developed Django RESTful APIs and Angular frontends for healthcare and fintech applications, built ETL pipelines compliant with healthcare standards, enforced test-driven development, and containerized applications for Kubernetes deployment. I have also conducted business analysis sessions and developed advanced reporting dashboards to provide critical insights to stakeholders.
I hold a Master of Science in Computer Science from the University of Central Missouri and a Bachelor's degree in Computer Science from Gopalan College of Engineering and Management, Bengaluru, India. I am passionate about leveraging AI/ML and cloud technologies to build scalable, reliable, and impactful software solutions.
