Nachiketh Murthy

Co-Founder

Bengaluru, Karnataka, India11 yrs 8 mos experience

AI EnabledHighly Stable

Key Highlights

Built production-grade AI systems for engineers.
Reached over 1M learners globally through innovative programs.
Led teams in implementing advanced AI solutions.

Stackforce AI infers this person is a leader in AI education and implementation, specializing in MLOps and agentic AI systems.

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Skills

Core Skills

Agentic Ai DevelopmentMlopsMachine LearningGenerative Ai

Other Skills

Artificial Intelligence (AI)Data EngineeringNatural Language Processing (NLP)AWS SageMakerDeep LearningTableauAnalyticsR (Programming Language)Data AnalyticsMathematicsReinforcement LearningData SciencePython (Programming Language)Amazon Web Services (AWS)

About

I build production-grade Agentic AI and MLOps capability for working engineers through structured, cohort-based programs. My focus is on end-to-end AI systems, not tool demos — covering orchestration, RAG, state management, observability, cost control, guardrails, and cloud-native deployment. The goal is to help engineers design, ship, and operate AI systems reliably in real production environments. I do not offer custom training. All programs are productized and designed for individuals who want to build strong system-thinking and production readiness. Through Manifold AI Learning, my work has reached 1M+ learners globally, and supported 100,000+ professionals in advancing their AI and MLOps careers across engineering, platform, and applied AI roles. I share practical insights publicly via long-form content, focusing on how AI systems actually fail — and how to design them correctly.

Experience

Deloitte

GenAI & Agentic AI Architect

Mar 2018 – Oct 2025 · 7 yrs 7 mos · Bangalore Urban, Karnataka, India · Hybrid

Current role includes leading a team of 15 professionals and driving the end-to-end implementation of AI systems—from experimentation to full-scale production. Responsibilities span designing and operationalizing advanced Machine Learning, Deep Learning, and Generative AI (LLMs, Multimodal Models) solutions, as well as architecting Agentic AI workflows that leverage autonomous agents for research, reasoning, and decision-making.
The scope includes:
Building scalable GenAI pipelines (data ingestion, fine-tuning, RAG, prompt engineering, and inference optimization).
Designing agentic architectures with multi-agent orchestration, tool integrations, and guardrails for safety and compliance.
Leading MLOps & LLMOps practices for continuous integration, deployment, monitoring, and retraining of AI models.
Ensuring long-term maintenance, drift detection, and governance of deployed AI systems in production.

Natural Language Processing (NLP)AWS SageMakerMachine LearningDeep LearningGenerative AI

Medtronic

Data Scientist

Jan 2017 – Apr 2018 · 1 yr 3 mos

Natural Language Processing (NLP)AWS SageMaker

Manifold ai learning

Founder & Lead Architect — Agentic AI Systems, MLOps

Dec 2014 – Present · 11 yrs 4 mos · Greater Bengaluru Area

Building production-grade Agentic AI and MLOps capability through cohort-based programs focused on real-world system design, deployment, and operations.
My work emphasizes end-to-end AI systems — orchestration, RAG, observability, cost control, guardrails, and cloud-native deployment — beyond demo-level implementations.
Programs are designed for working engineers and teams looking to operate AI systems reliably in production, not just experiment with tools.
Through structured programs and frameworks, my work has reached 1M+ learners globally and supported 100,000+ professionals in advancing their AI and MLOps careers.

Agentic AI DevelopmentMLOpsArtificial Intelligence (AI)Machine LearningData Engineering