Jeeva Ram Email & Phone Number

Bengaluru, Ka, In

Gurugram, Haryana, India

Mumbai, Maharashtra, India

• Spearheaded end-to-end project lifecycle for APIs, Banking Analysis, and credibility decisioning Engines, optimizing communication pipelines for enhanced efficiency.• Implemented cost-effective measures in Banking Analysis, resulting in a 40-45% decrease in analysis costs and improved decision credibility from 88% to 87%.• Managed 5 Docker repositories hosting credibility decisioning Engines' APIs, ensuring seamless integration, deployment, and monitoring, contributing to an 87% total disbursement.• Orchestrated seamless integration of multiple Lender APIs into LMS accounting system, streamlining lending process and accounting for 80% of disbursement amounts.• Revamped Fraud Control Unit with advanced algorithms, achieving a 95% trust level in fraud detection mechanisms.• Developed effective communication strategies across multiple channels, reducing funnel dropping rates and communication costs by 50% via lead prioritization techniques.• Skills: Amazon Web Services (AWS), Python, Django, Celery, PostgreSQL, Docker, GitLab, Database

Backend:• Awarded the "Employee of the Year" accolade for exceptional performance and significant contributions, recognizedcompany-wide.• Achieved a 30% enhancement in Python Django backend performance by optimizing multiple ORM queries, resulting in faster response times and heightened operational efficiency.• Engineered a robust backend for a mobile app API using Python and AWS, ensuring scalability and 99.99% availability.• Successfully migrated micro functions from Django to AWS Lambda, streamlining access and reducing server load by40%.• Optimized AWS Lambda size by 20% through the strategic utilization of AWS Lambda Layers and centralized management of environment variables using AWS Parameter Store.• Spearheaded the implementation of CI/CD practices, enabling seamless code deployment for Lambdas and an EC2-based Django server platform-wide.Mobile App: • Revamped the user interface of mobile apps to enhance the overall user experience, resulting in a 25% increase in user satisfaction through improved usability and visual appeal.• Composed state-of-the-art state management techniques within the mobile app, leading to a 35% improvement in performance and efficient data handling throughout the application lifecycle.• Expanded mobile app functionality by 50%, integrating features such as file upload, offline capabilities, multi-option field support, notification click, and deep link support.• Led the successful release of the iOS app, incorporating iOS plugins and overseeing the App Store Connect submission process for a seamless rollout.

Bengaluru, Karnataka, India

Data-driven cloud computing on Amazon Web Services (AWS) to build, improve and deploy scalablehealthcare AI assistant.primarily used python 3.6 to write cloud computing applications and Worked with SQL and NO-SQLDatabases like Aws RDBMS, Aws DynamoDB.Designed various API for different Serverless Applications From scratch.