Tayyab Ansari

Design and operate business-critical automations across HR, Finance, Benefits, Compliance, and Customer Operations using Python, AWS Lambda, API Gateway, Snowflake, Slack, Zendesk, Google Workspace, and internal APIs. Build AI-assisted classification, data validation, routing, decision-support, and task-lifecycle workflows that reduce manual handoffs and improve operational consistency.

Designed and developed configurable AI voice agents that answer inbound calls, respond using business knowledge, handle FAQs, and book appointments around the clock. Integrated OpenAI Realtime and Gemini Live with telephony providers, WebSockets/SIP, custom prompts and voices, knowledge bases, and structured agent tools.

Architected a centralized quality intelligence ecosystem that consolidated automated test results, coverage, release health, and quality metrics across projects for C-level and delivery leadership. Connected CI/CD quality gates to executive dashboards so pipeline and test results automatically exposed release risks, failures, and bottlenecks.

Developed reusable UI and API automation using Playwright and Cypress with TypeScript. Integrated automated regression execution with Bitbucket Pipelines and supported Agile release readiness.

Contributed as a C#/.NET developer to NETSOL's flagship automotive finance product, delivering feature enhancements and production defect fixes for client-specific modules. Built and maintained Cypress/Cucumber automation for UI and API workflows and integrated test suites with Azure Pipelines.

Built Cypress and TypeScript functional/regression automation, reusable components, and maintainable test cases. Developed Power Automate workflows for HR and Finance approvals, reminders, and notifications, plus lightweight data-handling scripts.

Bachelor of Science in Computer Science from COMSATS University Islamabad, completed from 2016 to 2020.