Built user interface for an AI-powered platform enabling users to create, share, and analyze surveys.
Designed and implemented RBAC (Role-Based Access Control) to distinguish between standard users, company users, and admins.
Developed UI for an incentive system rewarding invited users for completing surveys.
Collected and processed user responses to generate analytics dashboards (e.g., by country, gender, and other demographics).
Integrated APIs to enable seamless data exchange and activity tracking across the platform.
Developed an AI-driven chat interface that automatically generates surveys based on user interactions.
Integrated feature flags to enable partial UI rollouts ahead of backend API readiness.
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Tech & Keywords
AzureAWSAlibabaGCPCross CloudFinOPSAlerting System
Overview
A unique solution to provide a unified and independent view of resources across various cloud providers (AWS, Azure, Google Cloud ...).
It extracts data using scheduled workflows and provider-specific APIs, enabling near real-time querying of resources like VPCs, subnets, virtual machines, security groups which are stored in a database.
Relationships between resources are identified through key elements such as open ports, VPNs, peering links, and routing policies.
This solution helps visualize resource interdependencies, optimize infrastructure management, and enhance security across multi-cloud environments.
Innovative solution that allows users to perform load testing on their web applications from an intuitive web interface.
In each testing session, all network traffic is being logged by going through a proxy that is started and killed automatically.
Users can effortlessly monitor and manage these sessions in real time through a user-friendly browser-like interface that transfers their actions into a virtual browser and sends back resulting webpages.
Overview
Data lake can store structured, semi-structured, and unstructured data from custom-defined sources using a flexible plugin architecture.
It supports batch and real-time data flows, enabling advanced analytics and machine learning.
With dynamic schema management and optimized storage (7x smaller), the solution provides high performance and low latency, allowing stakeholders to easily query and analyze data for improved decision-making.