Pradip DhakalI build AI-powered systems

Senior Software Engineer - AI Systems Architect

• Architected and deployed a custom multi-agent AI framework powering critical business workflows across KYC, portfolio reviews, loan approvals, and customer support.
• Deployed cloud-native AI services on Google Cloud, integrating seamlessly with Wealthy's existing fintech stack.
• Delivered automated pipelines that generated personalized financial reports and significantly reduced manual support efforts, cutting agent time by 60%.
• Designed event-driven microservices using real-time event streaming (Kinesis/PubSub) to trigger AI agent workflows in response to user actions and system events.
• Drove AI strategy alignment across teams, directly influencing product roadmaps and unlocking new client-facing capabilities through agent-based automation.

Software Engineer - II

• Played a key role in building different products and features, including a SaaS solution for B2B clients, driving value and success for the organization.
• Created an Elasticsearch engine as a microservice that is used for indexing the data of the application and also for searching and filtering, and can be used in multiple applications.
• Published multiple JavaScript libraries including linting and React components which can be used in all other microservices.
• Ensured 95%+ code coverage through comprehensive unit testing and integration tests for critical use cases.
• Conducted interviews with engineers as part of the recruitment and onboarding process, ensuring the selection of qualified candidates for the development team.

Software Engineer

• Managed a team of 6 professionals, supervised client requirements for implementation, and mentored junior developers to facilitate knowledge sharing within the team.
• Built a DevOps pipeline for application deployment using Kubernetes, Docker, and GitHub actions achieving a 60% reduction in time spent on manual deployment tasks.
• Achieved over 90% code coverage for tested functionalities and executed End-to-End testing for frontend applications using Cypress and TypeScript.
• Enhanced application performance and flexibility through optimized coding practices and architectural improvements, resulting in a significant 30% reduction in response time.
• Collaborated cross-functionally with designers, QA engineers, and product managers to deliver high-quality software solutions that meet customer requirements, resulting in an exceptional customer satisfaction rating of 4.8 out of 5.

Software Engineer

• Developed a back-end engine using TinkerPop, Gremlin, and Node.js to process large stream data, integrate with Amazon Neptune, and also build individual services for data profiling using Python.
• Performed integration testing using Cypress and TypeScript to ensure proper application performance.
• Played a key role as a full-stack developer in a microservice-based architecture deployed on AWS, utilizing Neptune, Kinesis, RDS, EC2, Lambda, S3, ECR, and ECS.
• Teamed up with a cross-functional group to create a test management tool, streamlining test case management and reducing test case creation time by 50%, thereby improving overall testing effectiveness.
• Implemented React and Node.js technologies to develop 7+ innovative features and address complex issues, resulting in elevated user experience and overall system performance.
• Received the Team Collaboration Excellence Award, recognized for exceptional collaboration and contributions among 50+ employees.

Startup Founder

• Led the successful delivery of over 10+ different client projects, surpassing expectations and achieving a high level of client satisfaction.
• Led a team in building a comprehensive E-Commerce website using React and Node (Express), ensuring timely delivery and high customer satisfaction.
• Implemented automation tools, including Jenkins, AWS CodeBuild, and Docker, reducing manual effort by 50% and improving development speed, resulting in faster delivery of software updates.
• Engaged closely with clients, delivering tailored software solutions that yielded significant cost savings and improved operational efficiency by 3 times.

• and more at Github : LINK