Open to Senior Data, AI/ML & GenAI Engineering Roles

Pavan Sai Rayalla

Senior AI & Software Engineer · GenAI, RAG & Agentic Workflows · Full Stack Developer

I help regulated enterprises move from trusted data to production AI through retrieval, agents, LLMOps, audit-ready workflows, and human-in-the-loop governance.

View Projects Platform Design Experience GitHub
10+
Years Experience
14
Regulatory Domains
40%
Review Cycle Reduction
200+
Stakeholders Supported

About Me

From Governed Data to Production AI

I build enterprise Data + AI platforms for regulated teams, connecting Microsoft Fabric, Azure, retrieval, agents, and governance into workflows that can be audited, monitored, and trusted in production.

My work spans financial services, healthcare, insurance, and retail, with hands-on delivery across RAG systems, GenAI workflow automation, LLMOps, semantic search, data modernization, and human-in-the-loop review.

My focus: Turning trusted enterprise data into grounded, governed, and measurable AI systems that support real business workflows in high-stakes environments.
Data-to-AI Platforms Enterprise RAG Agent Workflows AI Evaluation Human Review Production Delivery
0%
Reduction in manual regulatory review cycles through governed GenAI and multi-agent workflows
0
Corporate Finance and regulatory domains supported through UBS Data and AI modernization
0%
Reduction in manual preprocessing using structured evidence extraction pipelines
0+
Corporate Finance and regulatory stakeholders supported with analytics and self-service insights

Selected Work

AI Engineering Projects

Hands-on builds across evaluation, AgentOps, retrieval, governed analytics, and engineering automation.

AI Governance

ARGUS

↗

LLM red-team, guardrail, and model-risk evaluation platform with app profiles, attack suites, policy findings, reproducible reports, deterministic CI gates, and audit records.

PythonFastAPINext.jsPostgreSQLGuardrailsCI Gates
AgentOps

ORION

↗

Enterprise AI AgentOps control plane for agent registry, traces, tool-call history, approval gates, risk scoring, permission management, and immutable audit logs.

TypeScriptNext.jsFastAPIPostgreSQLRedisAgentOps
Retrieval Intelligence

CITADEL

↗

Evidence-first document intelligence platform with hybrid retrieval, graph-aware expansion, reranking, strict citations, eval gates, and operator-grade visibility.

RAGOpenSearchQdrantNeo4jFastAPIDocker
AI Analytics

HELIOS

↗

Governed AI analytics engineering platform for semantic NL-to-SQL, trust-aware execution, explainable insights, and analytics workflows with typed APIs.

NL-to-SQLAnalyticsFastAPIDuckDBNext.jsGovernance

Platform Design

Enterprise AI Architecture

A production delivery pattern for governed Data + AI platforms, connecting trusted data, retrieval, agents, evaluation, human review, and audit-ready operations.

Delivery Flow

1
Build trusted data foundations with Microsoft Fabric, OneLake, Delta Lake, lineage, access controls, and reusable data products.
2
Convert enterprise documents and data into AI-ready knowledge using metadata, chunking, embeddings, hybrid search, and source attribution.
3
Orchestrate RAG, Agentic RAG, and multi-agent workflows with typed APIs, controlled tools, routing logic, and human-review checkpoints.
4
Operationalize with evaluation gates, prompt/version control, telemetry, security boundaries, approval workflows, and audit logs.

Enterprise Stack

Data Foundation
Microsoft Fabric, OneLake, Delta Lake, PySpark
AI Orchestration
Azure OpenAI, Claude, LangGraph, LangChain
Retrieval
Azure AI Search, Pinecone, FAISS, Neo4j
Governance
Purview, Entra ID, RBAC, Key Vault
Application Layer
ReactJS, FastAPI, .NET Core, Azure Functions
Operations
Azure Monitor, App Insights, AKS, Docker, CI/CD
LLMOps & Evaluation
RAGAS, LangSmith, Langfuse, golden datasets
Model Serving
Triton, MLflow, Prometheus, Grafana

Work History

10+ Years of Enterprise Impact

A decade of delivering production AI across finance, healthcare, and retail at scale.

UBS
2023 – Present
Nashville, TN
Senior AI & Software Engineer
Financial Services · Generative AI · Compliance · Full Stack

Led architecture and delivery of iRWAP, UBS's Regulatory Workflow Automation Platform, across 14 Corporate Finance domains — combining RAG-backed retrieval, Claude-powered GenAI review, MCP tool integrations, and reviewer-driven workflow automation with full audit trail and sign-off controls.

40% ↓ manual review 35% ↓ hallucinated retrievals 14 regulatory domains 50% faster tool onboarding
LangGraphClaude APIAzure OpenAICrewAIPineconeQdrantNeo4jMCPFastAPIC#/.NETReactJSKafkaLangSmith
Senior Data & AI Engineer
Healthcare · Clinical NLP · HIPAA Compliance

Built a HIPAA-compliant clinical AI platform serving 30+ hospitals, enabling patient-facing conversational agents and internal clinical NLP workflows. Reduced information retrieval time by 25–40% for clinical staff, with a 40% lower mean-time-to-resolution on system incidents.

25–40% faster info retrieval 40% ↓ MTTR HIPAA compliant
FAISSHugging FaceSageMakerspaCyFHIR / HL7Python
Banner Health
2022 – 2023
Phoenix, AZ
BCS Financial
2021 – 2022
Oakbrook Terrace, IL
Senior Machine Learning Engineer
InsurTech · Fraud Detection · Document AI

Designed end-to-end ML pipelines for insurance fraud detection and intelligent document processing, cutting manual claims handling by 45%. Deployed XGBoost and OCR/NER pipelines on Azure with MLflow-tracked model governance, achieving 92% fraud detection accuracy.

45% ↓ manual processing 92% fraud detection accuracy 35% faster batch reports
XGBoostMLflowSnowflakeAzure FunctionsOCR / NERPython
Senior Data Scientist
Retail / CPG · Personalization · Demand Forecasting

Delivered personalization at massive scale for 60M+ households across 2,800+ Kroger stores. Built promotion optimization and demand forecasting models using XGBoost and ARIMA, improving promotional ROI by 18% and forecast accuracy by 28% via real-time GCP Pub/Sub pipelines.

18% promo ROI uplift 60M+ households 28% ↑ forecast accuracy
XGBoost / ARIMAPySparkDatabricksGCP Pub/SubC# .NET
Kroger
2019 – 2021
Cincinnati, OH
Elind Computers
2015 – 2019
Bangalore, India
Data Scientist
Big Data · Streaming · Predictive Analytics

Developed real-time streaming infrastructure and ML pipelines for behavioral analytics, churn prediction, and IoT event processing at 500K+ events/second. Optimized Spark jobs by 45% using advanced partitioning strategies and achieved 88% churn prediction accuracy with Spark MLlib.

500K+ events/sec 45% faster Spark jobs 88% churn accuracy
KafkaPySparkHadoop / HiveSpark MLlib

Core Skills

Focused on governed Data + AI platforms: GenAI, Agentic RAG, Microsoft Fabric, retrieval, LLMOps, cloud delivery, APIs, and enterprise governance.

10+
Years delivery
14
Regulated domains
3
Cloud platforms
01

Generative AI & LLM Systems

Designing production LLM applications with prompt strategy, structured outputs, guardrails, evaluation gates, observability, and release controls.

Azure OpenAIClaudeGPT-4oLlamaGemini
02

Agentic Workflows

Building multi-step assistants with tool use, stateful execution, approval gates, human review, traceability, and failure handling.

LangGraphLangChainSemantic KernelMCPAzure AI Agent Service
03

RAG & Knowledge Retrieval

Creating evidence-first RAG systems with hybrid search, metadata filtering, graph expansion, reranking, citations, and grounded response controls.

Azure AI SearchPineconeFAISSNeo4jGraphRAG
04

Backend & Full-Stack Engineering

Building production APIs, microservices, and event-driven backends with typed contracts, async message pipelines, and full-stack reviewer portals for enterprise AI workflows.

FastAPINode.jsC#/.NET CoregRPCGraphQLReactJSKafka

Credentials

Professional Certifications

Verified expertise across AI, cloud, and data engineering platforms.

Microsoft
Microsoft Azure
AI-102: Azure AI Engineer Associate
✓
Microsoft
Microsoft Azure
AZ-305: Azure Solutions Architect Expert
✓
Microsoft
Microsoft Fabric
DP-600: Fabric Data Analytics Engineer
✓
Microsoft
Microsoft Fabric
DP-700: Fabric Data Engineer Associate
✓
Anthropic
Anthropic
Claude Certified Architect
★
Databricks
Databricks
Databricks Certified ML Professional
✓
Snowflake
Snowflake
SnowPro Specialty: Gen AI
✓
Snowflake
Snowflake
COF-C03: SnowPro Core Certification
✓
AWS
Amazon AWS
DVA-C02: AWS Certified Developer Associate
✓

Get In Touch

Let’s Talk Data, AI & GenAI

Open to Senior AI & Software Engineering roles · GenAI, RAG & Full Stack
Email
pavansair.work@gmail.com
Phone
(469) 619-5673
Location
United States of America
Start a Conversation
Share the role, platform challenge, or AI system you want to discuss. I usually respond within 24 hours.

Your information is kept private and never shared.