Shivani Priyanka

• Led end-to-end architecture and delivery of an AI-powered recruitment platform on GCP using a scalable monorepo microservices architecture (Cloud Run, Cloud SQL, BigQuery, and Terraform).
• Built a centralized Multi-Model LLM Gateway integrating Google Gemini, Model Context Protocol (MCP) servers, and stateful LangGraph multi-agent workflows with Langfuse observability for CV parsing, candidate scoring, and career pathways
• Architected event-driven streaming pipelines using GCP Dataflow, Apache Kafka, and Pub/Sub to ingest, normalize, and embed millions of unstructured documents into pgvector for low-latency hybrid semantic search.
• Delivered a full-stack web application (Next.js, React, TypeScript) with agentic coding & automated CI/CD workflows, multi-provider auth (OAuth, Magic Links, JWT), and Stripe subscription billing via webhooks.

• Co-founded, architected, and scaled a full-stack digital health platform (EHR, teleconsultation, clinical analytics) to 5,000+ patients across 10+ clinics, culminating in a successful commercial acquisition (under NDA).
• Engineered proprietary RAG and LLM pipelines (OpenAI, LangChain) for automated prescription and lab report analysis, boosting clinical decision-making efficiency by 50%.
• Integrated Anthropic Claude agents and DevOps automation workflows to autonomously triage bugs, automate incident resolution, and dynamically scale AWS/Kubernetes infrastructure under peak clinical loads.
• Refactored legacy AI-generated Python code and migrated performance-critical backend services to Go, drastically reducing API latency, memory overhead, and cloud compute costs prior to acquisition.

●​ Led the design and delivery of Delfi Virtual Data Room (VDR), a transformative platform for secure data sharing between sellers and investors, streamlining multi-million-dollar bid execution processes end-to-end.

●​ Integrated AI-powered automation using Lumi to accelerate legal document processing, contract summarization, and data redaction — improving deal execution speed and investor confidence.

●​ Drove cloud cost optimization by implementing multi-cloud FinOps strategies (GCP & Azure&AWS), achieving a 40% reduction in annual spend through optimized resource allocation, right-sizing, and storage efficiency.

●​ Directed a cross-functional team of 20 engineers and QA specialists, ensuring on-time, high-quality product delivery through Agile practices and continuous stakeholder alignment.

●​ Strengthened platform scalability and compliance by embedding DevSecOps practices, proactive monitoring, and secure-by-design architecture.