Shrikant Kashi
Raipur, India
Principal AI Systems Architect (Enterprise Agentic Workflows), Strategic AI Advisor & ROI Consultant (MBA-Backed), AI Reliability & Governance:
(0) Remote 6 months ago
250 $ - Per hour
1. Principal AI Systems Architect
Title: Principal AI Systems Architect (Enterprise Agentic Workflows)
Description: I bridge the gap between experimental LLM prototypes and production-grade enterprise systems. I specialize in designing and deploying Multi-Agent Orchestration and Enterprise Context Meshes that allow AI to interact securely with your existing data infrastructure (PostgreSQL, Salesforce, SAP).
Unlike standard development, my architectures focus on Deterministic Governance, ensuring your agents operate within strict business rules and security boundaries. I leverage a robust stack including n8n, LangGraph/CrewAI, and AWS Fargate to build systems that are scalable, observable, and ready for day-one production.
2. Strategic AI Advisor & ROI Consultant (MBA)
Title: Strategic AI Advisor & ROI Consultant (MBA-Backed)
Description: I help C-Suite leadership and Founders navigate the "AI Hype" to find real, measurable Return on Investment (ROI). Leveraging my MBA background and deep technical expertise, I provide vendor-agnostic 12-month AI Transformation Roadmaps, infrastructure audits, and cost-optimization strategies.
I focus on the business case first: identifying where AI can reduce headcount dependency, accelerate decision velocity, and create a defensible competitive advantage. This service is designed for organizations that need a high-level strategic partner to manage the transition to an AI-native operational model.
3. AI Reliability & Governance Frameworks
Title: AI Reliability & Governance: Anti-Hallucination Frameworks
Description: The "Insurance Policy" for your AI initiatives. I solve the "Safety Gap" by implementing automated evaluation pipelines and deterministic guardrails that eliminate hallucinations and ensure semantic integrity.
I build the "Conscience Layer" for your agentic workflows—utilizing Pydantic validation, NLI-based faithfulness scoring, and Human-in-the-Loop (HITL) escalation paths. This ensures your AI outputs are consistently grounded, compliant, and safe for customer-facing or high-risk business environments. I treat reliability as a core engineering requirement, not an afterthought.
Title: Principal AI Systems Architect (Enterprise Agentic Workflows)
Description: I bridge the gap between experimental LLM prototypes and production-grade enterprise systems. I specialize in designing and deploying Multi-Agent Orchestration and Enterprise Context Meshes that allow AI to interact securely with your existing data infrastructure (PostgreSQL, Salesforce, SAP).
Unlike standard development, my architectures focus on Deterministic Governance, ensuring your agents operate within strict business rules and security boundaries. I leverage a robust stack including n8n, LangGraph/CrewAI, and AWS Fargate to build systems that are scalable, observable, and ready for day-one production.
2. Strategic AI Advisor & ROI Consultant (MBA)
Title: Strategic AI Advisor & ROI Consultant (MBA-Backed)
Description: I help C-Suite leadership and Founders navigate the "AI Hype" to find real, measurable Return on Investment (ROI). Leveraging my MBA background and deep technical expertise, I provide vendor-agnostic 12-month AI Transformation Roadmaps, infrastructure audits, and cost-optimization strategies.
I focus on the business case first: identifying where AI can reduce headcount dependency, accelerate decision velocity, and create a defensible competitive advantage. This service is designed for organizations that need a high-level strategic partner to manage the transition to an AI-native operational model.
3. AI Reliability & Governance Frameworks
Title: AI Reliability & Governance: Anti-Hallucination Frameworks
Description: The "Insurance Policy" for your AI initiatives. I solve the "Safety Gap" by implementing automated evaluation pipelines and deterministic guardrails that eliminate hallucinations and ensure semantic integrity.
I build the "Conscience Layer" for your agentic workflows—utilizing Pydantic validation, NLI-based faithfulness scoring, and Human-in-the-Loop (HITL) escalation paths. This ensures your AI outputs are consistently grounded, compliant, and safe for customer-facing or high-risk business environments. I treat reliability as a core engineering requirement, not an afterthought.
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