Surendra B
Gutta
15+ Years in Enterprise AI Architecture | Designing cloud-native data platforms and AI-driven solutions across Azure, GCP, and AWS for Transportation, Healthcare, Finance, and Retail domains.
About Surendra
AI Architect with 15+ years of enterprise experience specializing in multi-cloud data platforms, AI integration, and scalable data engineering solutions across Azure, GCP, and AWS environments
My journey spans data engineering, cloud architecture, AI integration, and multi-cloud platform design, specializing in enterprise-scale data solutions and AI-driven business intelligence. I excel at transforming complex data challenges into scalable, intelligent solutions.
I architect cloud-native data platforms, ETL/ELT pipelines, and AI-powered analytics that integrate seamlessly across Azure, GCP, and AWS environments. My expertise includes real-time data processing, machine learning operations, and performance optimization for enterprise workloads.
Having delivered solutions across transportation logistics, healthcare, finance, and retail, I understand the critical requirements of enterprise data architecture—from cloud migration to AI model deployment, data governance, and scalable analytics.
Core AI Technologies
AI Integration & Model Deployment
Model selection, prompt engineering, deployment, and monitoring across cloud platforms with enterprise-grade solutions
Multi-Cloud Architecture
Design and operate resilient data platforms on Azure, GCP, and AWS with enterprise-scale data solutions
Data Engineering & ETL/ELT
ETL/ELT pipelines, streaming data, data warehouses, and performance optimization for large-scale data processing
Domain Expertise
Transportation & Logistics
Healthcare & Insurance
Finance & Banking
Cloud Data Platforms
My Mission
Making AI practical, performant, and production-readyfor enterprise environments. I bridge the gap between cutting-edge AI research and real-world business value, ensuring solutions are not just innovative but also scalable, secure, and compliant with industry standards.
Technical Skills
Comprehensive AI & automation expertise spanning 20+ years of enterprise technology leadership, with deep specialization in modern AI platforms, LLMs, and intelligent workflow orchestration
Cloud Platforms & Databases
Big Data & Analytics
Programming & DevOps
AI & Machine Learning
Cloud & MLOps
Development & Integration
Enterprise & Compliance
Advanced AI Techniques
AI Solutions Portfolio
Cutting-edge AI implementations addressing real-world enterprise challenges in healthcare, compliance, and workflow automation
Symptom-Based Medical Product Recommendation
End-to-end AI system where an open-source LLM is fine-tuned or extended with medical store product data. The model recommends suitable over-the-counter products based on user symptoms, including product details and side effects. Includes backend API, deployment, and optional frontend demo.
Technologies
Key Capabilities
- •Custom dataset creation with medical products
- •Fine-tuning or Retrieval-Augmented Generation (RAG)
- •Symptom-to-product recommendation
- •API-based inference service
- •Cloud deployment with Docker support
- •Optional frontend demo for user queries
AI Agent Orchestration Platform
Autonomous AI agents with reasoning capabilities for SDLC automation. Memory-aware agents that handle requirements analysis, test generation, and release management workflows.
Technologies
Key Capabilities
- •Autonomous test case generation
- •Requirements traceability analysis
- •Intelligent release planning
- •Cross-functional team collaboration
Intelligent Workflow Automation
End-to-end automation platform integrating AI decision-making across software engineering processes. Streamlines requirements management, testing, and compliance workflows.
Technologies
Key Capabilities
- •Automated requirements validation
- •Intelligent test execution routing
- •Dynamic compliance checking
- •Performance optimization recommendations
AI Agent Orchestration Platform
Autonomous AI agents with reasoning capabilities for SDLC automation. Memory-aware agents that handle requirements analysis, test generation, and release management workflows.
Technologies
Key Capabilities
- •Autonomous test case generation
- •Requirements traceability analysis
- •Intelligent release planning
- •Cross-functional team collaboration
RAG-Enhanced Knowledge Platform
Retrieval-Augmented Generation (RAG) pipeline that enhances responses with external and internal content sources.
Technologies
Key Capabilities
- •Context-aware question answering
- •Knowledge integration from diverse data sources
- •Scalable document ingestion pipelines
- •Seamless enterprise knowledge access
Test Automation with MCP Servers
Integration of Selenium and Playwright through MCP servers to automate Watercare’s software testing pipelines.
Technologies
Key Capabilities
- •Cross-browser testing automation
- •Integration with CI/CD workflows
- •Scalable test execution
- •Reduced regression cycle time
Copilot for Release Management
AI-powered release planning and management system that assists teams in orchestrating deployments with minimal risk.
Technologies
Key Capabilities
- •Release schedule optimization
- •Automated risk assessment
- •Integration with CI/CD pipelines
- •Cross-team visibility and reporting
Enterprise Knowledge Hub
Centralized AI-driven knowledge base for Watercare, allowing teams to securely store, retrieve, and use organizational knowledge.
Technologies
Key Capabilities
- •Centralized documentation repository
- •AI-powered semantic search
- •Context-aware recommendations
- •Secure access and permissions management
Professional Journey
15+ years of progressive leadership in AI, automation, and enterprise technology solutions across banking, finance, government, retail, and e-commerce domains
Sr Cloud AI Architect
J.B. Hunt Transport
Leading the architecture and implementation of scalable, cloud-native data platforms across Azure, GCP, and AWS for the SCALE project. Designing end-to-end data pipelines and implementing automated CI/CD workflows for enterprise data solutions.
Key Achievements & Impact:
Technologies & Tools
Data Lead
Anthem
Led data engineering initiatives for healthcare data processing, designing ETL pipelines and coordinating with Data Science teams for advanced analytical models. Implemented multi-cloud data solutions with focus on security and compliance.
Key Achievements & Impact:
Technologies & Tools
Cloud Data Engineer
Avid Exchange
Architected and implemented cloud-based data solutions for financial data processing. Designed automated ETL processes and managed production support for compliance requirements in the financial sector.
Key Achievements & Impact:
Technologies & Tools
Get In Touch
Ready to discuss how multi-cloud data platforms, AI integration, and enterprise solutions can transform your business? Let's start the conversation.
Let's Connect
ai@surendragutta.com
Consultation
Available for discussion
Location
Remote & On-site (US)
Areas of Expertise
Quick Response Guaranteed
I typically respond to all inquiries within 24 hours during business days. Urgent matters are prioritized.
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