Manik

I am an Engineering Leader and Principal Solutions Architect with over 18 years of experience designing enterprise-grade Cloud-Native platforms, MLOps ecosystems, and autonomous Agentic AI architectures. Currently serving as Senior Manager, Software Engineering & Principal Architect at Epsilon, I bridge the gap between complex technical architecture and strategic business execution—leading engineering teams to design, scale, and deploy resilient, high-impact technology platforms. CORE CAPABILITIES & SPECIALIZATIONS: • AI Engineering & Agentic Systems: Architecting autonomous multi-agent orchestration frameworks utilizing AWS Bedrock AgentCore, LangGraph (StateGraphs), enterprise RAG pipelines, and Vector DBs (pgVector, Pinecone, Weaviate). • LLMOps & GenAI Evaluation: Implementing bi-phasic evaluation frameworks (TruLens, DeepEval, MLflow) for hallucination reduction, context relevance, and production-grade safety/guardrails. • Data & MLOps Platforms: Designing centralized AI/ML and Data Engineering platforms ("AIQ") leveraging Databricks Lakehouse architecture for end-to-end model training, feature store engineering, and high-throughput inference. • Cloud Architecture & Modernization: Leading cloud-native migrations from monolithic legacy applications to microservices on AWS EKS, standardized with Terraform (IaC) and GitOps (ArgoCD). • Technology Leadership & Governance: Empowering engineering organizations, establishing architectural standards, driving FinOps infrastructure cost optimization, and mentoring senior technical talent. TECHNICAL ECOSYSTEM: • Cloud & Infra: AWS (EKS, EC2, Lambda, API Gateway, S3, DynamoDB), Azure, GCP, Kubernetes, Docker, Terraform, GitOps (ArgoCD), OpenTelemetry. • AI/ML & LLM: LangGraph, AWS Bedrock, RAG, Databricks, TruLens, DeepEval, Ragas, MLflow, Langfuse, Phoenix. • Backend & Languages: Python, .NET Core, C#, Node.js, REST APIs, Microservices, Event-Driven Architecture. Whether directing multi-agent AI initiatives or optimizing enterprise cloud infrastructure, my focus remains on building resilient software architectures and aligning engineering velocity directly with business goals.