Vertika Upadhyay

Senior Backend Engineer – VPN System Development and Scalability

• Developed VPN System: Engineered a VPN system to securely connect legacy firmware devices with existing infrastructure, ensuring reliable communication for millions of devices.
• Scaled Nextunnel to 14 Million Nodes: Designed a scalable framework to test and optimize VPN performance, supporting 14 million nodes and millions of global clients.
• Optimized Deployment and Resources: Improved deployment pipeline and reduced memory consumption, optimizing costs while maintaining high throughput and low latency.
• Built Monitoring and Health Tracking: Developed an automated monitoring system using Grafana and Postgres to track health and performance across multiple clusters, enabling quick issue resolution.
• Ensured Resilience and Availability: Implemented fault-tolerant mechanisms to handle traffic spikes, ensuring uninterrupted service for secure device data management.
• Ongoing Enhancements: Continuously improved system scalability and efficiency to support evolving device types and architecture.

Tech Stack:
Go, Ruby, Bash, Docker, Kubernetes, Protobuf, Terraform, Grafana, Postgres

Senior Backend Engineer – Payment and Platform Integration

• Designed Secure Payment Service: Built a scalable payment service for digital money transfers, ensuring high reliability and compliance with industry standards.
• Integrated Plaid and Dwolla APIs: Developed secure API integrations for bank verification (Plaid) and ACH transactions (Dwolla), ensuring encrypted and authenticated payment flows.
• Architected Timeline Service Integration: Integrated the Timeline Service with the Compass platform, enabling real-time tracking of business events and transaction milestones.
• Developed Unified Platform for Title and Escrow: Engineered a framework to integrate multiple Title and Escrow companies, streamlining data exchange and operations.
• Ensured Scalability with Kafka and Kubernetes: Used Kafka for event-driven processing and Kubernetes for container orchestration, optimizing system scalability, low latency, and high availability.
• Maintained Data Integrity with Postgres and DynamoDB: Utilized Postgres for transactional data and DynamoDB for distributed data, ensuring secure and consistent storage.

Tech Stack:
TypeScript, Postgres, Kafka, Kubernetes, GraphQL, Plaid, Dwolla, Docker, DynamoDB

Lead Developer – Chatbot and Automation Solutions

• Managed Global Chatbot Ecosystem: Led the design, development, and management of the chatbot platform within MSI, ensuring seamless support for global internal users.
• Integrated Emerging Technologies: Continuously explored and integrated new technologies to enhance chatbot capabilities and improve user experience.
• Automated Key Processes with RPA and Chatbots: Implemented RPA and chatbot solutions to automate business processes and reduce manual effort across MSI.
• Developed Chatbot Analytics Tool: Led the development of a visualization tool to provide real-time insights into chatbot performance, enabling data-driven decisions.
• Provisioned IAM Roles Across Multi-Cloud: Designed and provisioned IAM roles for secure access management across cloud platforms, ensuring compliance and security.
• Integrated Google Chat with AWS via Mulesoft: Established secure connections between Google Chat and AWS resources using Mulesoft APIs, enabling smooth data exchange and automation.
• Developed OKTA Authentication: Implemented OKTA Authentication for secure access management across internal and external platforms.
• Recognized for Leadership and Contributions: Awarded High5 and Moment Awards for excellence in driving automation and chatbot initiatives.
• Completed Advanced UiPath Training: Achieved advanced RPA certification in UiPath, enhancing expertise in automating business processes.

Tech Stack:
Python, AWS (Lambda, SNS, RDS, CloudWatch, S3, Secret Manager, Lex, IAM), IBM Cloud (Watson Assistant), OCI (Digital Assistant, IAM), Mulesoft, OKTA, MySQL, GSuite

Software Engineer – Trade Data Processing and System Overhaul

• Refactored Code and Developed Scripts for Trade Data Processing: Leveraged Java to refactor and optimize legacy code, creating efficient stored procedures and scripts for preprocessing trade data. Enhanced the End-of-Day (EOD) File Report generation process, ensuring high data accuracy, consistency, and scalability.
• Incorporated Schema-Level Changes for Regulatory Compliance: Utilized Java-based tools and frameworks (Spring, Hibernate) to implement critical schema updates, aligning trading information with evolving DTCC regulatory requirements.
• Automated Unit and Integration Testing: Developed unit and integration tests using Java frameworks (JUnit, Spring) to ensure the accurate reflection of changes across the system, particularly in caching scenarios.