• Engineered Python- and Node.js-based microservices processing 2M+ customer records daily, ensuring high availability and scalability.

• Integrated predictive ML models into backend workflows, improving deal prioritization accuracy and

increasing closure rates by 20%+.

• Analyzed continuous data delivery workflows to feed customer churn prediction systems, cutting pipeline

latency by 200ms and improving customer retention by an estimated 10%.

• Automated CI/CD testing workflows, cutting post-release defects by 30% and accelerating deployment cycles.

• Partnered with cross-functional teams to design AI-powered analytics APIs, delivering actionable insights at scale.

• Revamped and optimized backend services in Python/Flask, reducing API response times by 27% while

supporting higher data volumes.

• Developed secure backend APIs with MySQL and JWT-based authentication, handling 400K+ transactions daily with zero breaches.

• Pioneered intelligent document processing with summarization APIs, allowing employees to shorten report generation cycles by 2 days; implemented for 3+ legacy systems.

• Built a FAISS-based semantic search engine, cutting document lookup time from 5 minutes to under 1 minute for 100+ users.

• Migrated 3+ legacy applications to modern full-stack architectures with automated deployments, reducing maintenance effort by 22%.

• Streamlined developer operations by automating Jira workflows and integrating Git/GitHub, improving release efficiency.

• Collaborated on backend modernization initiatives, refactoring services and SQL queries to enhance

performance and scalability.