Building production AI and ML systems with a focus on experimentation platforms, reusable ML infrastructure, and AI-powered tools that help teams move faster and make data workflows more accessible.

• Built reusable AI/ML infrastructure on GCP and Snowflake, enabling teams to accelerate solution development through standardized pipelines and shared platform components

• Designed and shipped a 0→1 ML experimentation framework, automating experiment tracking, dataset versioning, and evaluation logging to replace manual model development workflows

• Developed a GPT-4-powered analysis tool that acts as a virtual data scientist, generating insights, visualizations, and reports for non-technical stakeholders while saving 6–8 hours of manual analysis per week

• Productionized a forecasting solution on Microsoft Azure, partnering with Solution Architects, Product Owners, and DevOps to move it into a scalable production workflow

• Helped establish standardized ML development practices across the organization, improving consistency, reuse, and team velocity.

Built and improved internal AWS systems to enhance customer experience and operational efficiency, with a focus on automation, performance, and secure service delivery. Here are my key contributions:

• Led end-to-end development of secure, production-grade backend systems, owning design, implementation, testing, and rollout across high-reliability environments.

• Automated AMI security patching workflows, reducing manual operational effort by 50% and improving patching consistency across the team.

• Improved search relevance through semantic analysis experiments using LDA, contributing to better retrieval quality during ML research internship projects.

Worked as an Intern in research for improvement of Search results, using semantic analysis by LDA.

1. Built backend microservices for user management, access control, messaging, and reporting in an enterprise platform environment.

2. Developed various component services for user management and user access management.

3. Integrated security in microservices and developed a custom security model for access management.

4. Developed messaging systems through web services.

5. Developed reporting and statistics capturing in web services.