Dhiraj Patra

Enterprise AI & MACH Architect  ·  Lead Forward-Deployed Engineer  ·  GenAI & Agentic Systems Specialist  ·  Multi-Domain Cloud Architect (Azure · AWS · GCP)
🤖 Agentic Systems 🧠 Multi-Agent Orchestration 📦 Graph RAG & Enterprise RAG 🔌 MCP (Model Context Protocol) LLMOps & AI Governance Azure AWS GCP Databricks Certified FinTech & Risk Analytics 15+ Yrs Enterprise Arch

Enterprise AI & MACH Architect with 15+ years of software engineering leadership[cite: 1] and 10+ years specializing in production-grade AI/ML, Generative AI, and distributed cloud systems[cite: 1]. Experienced as a Lead Forward-Deployed Engineer taking strategic AI solutions from customer discovery and technical design through pilot, production deployment, and continuous improvement[cite: 1].

Recognized expert in agentic workflows (LangGraph, CrewAI, AutoGen, MCP), enterprise RAG, and production LLMOps across financial services, healthcare, and IoT[cite: 1]. Proven record of architecting real-time risk platforms, securing AI/ML patents, and driving digital transformations for Fortune 500 enterprises[cite: 1]. Hands-on engineering leader accustomed to bridging complex business objectives into actionable delivery milestones, governance frameworks, and high-performing production deployments[cite: 1].

AI & Agentic Systems
  • Multi-Agent Orchestration: LangChain, LangGraph, AutoGen, CrewAI, MCP[cite: 1]
  • Enterprise RAG, Graph RAG & Vector Databases (Pinecone, FAISS, Weaviate, Chroma)[cite: 1]
  • LLM Fine-Tuning (LoRA), Guardrails, Tool Calling & Structured Outputs[cite: 1]
  • LLMOps, Model Evaluation, Golden Datasets, AI Observability & Governance[cite: 1]
  • Azure OpenAI, Azure AI Foundry, Agent ID, Foundry IQ, AI Search, Content Safety[cite: 1]
Cloud & MLOps Infrastructure
  • Multi-Cloud Architecture: Azure, AWS, GCP, Serverless, Microservices[cite: 1]
  • Containerization & Orchestration: Kubernetes, Docker, AKS, ECS[cite: 1]
  • Data Engineering: Databricks Certified Engineer, PySpark, Spark, Kafka, Snowflake[cite: 1]
  • MLOps Pipelines: MLflow, CI/CD, AWS SageMaker, Azure ML[cite: 1]
  • Secure Agentic AI Architecture, OAuth, SSO, IAM & Approval Workflows[cite: 1]
Enterprise Solution Architecture
  • Forward-Deployed Engineering: Customer Discovery & Technical Strategy[cite: 1]
  • Real-Time Enterprise Risk Platforms & Financial Analytics[cite: 1]
  • IoT & EDGE AI Solutions for Renewable Energy & Smart Infrastructure[cite: 1]
  • High Availability & Serverless Architectures for Fortune 500 Clients[cite: 1]
  • Stakeholder Management, Technical Roadmaps & Delivery Planning[cite: 1]
Backend & API Engineering
  • Languages: Python, PyTorch, TensorFlow, Scikit-learn, SQL, C++, C, PHP[cite: 1]
  • Frameworks & APIs: FastAPI, Flask, Django, REST APIs, GraphQL[cite: 1]
  • Databases: Azure Cosmos DB, MongoDB, PostgreSQL, SQL Server, RDS, DynamoDB[cite: 1]
  • Computer Vision: CNN, Keras, OpenCV, Image Processing Pipelines[cite: 1]

Experience

Sr PM - AI Engineering & Lead Forward-Deployed Engineer

Ernst & Young (EY) — Client: BNY Mellon

Lead AI Risk Tech Engineer embedded within BNY Mellon, architecting real-time multi-agent systems for enterprise risk analytics and financial compliance[cite: 1].

  • Architected and deployed cutting-edge GenAI and Agentic AI platforms on Azure, orchestrating multi-agent workflows, A2A communication, and MCP integrations[cite: 1].
  • Built high-performance Enterprise RAG & Graph RAG systems using Azure AI Search, Semantic Ranker, MongoDB, Cosmos DB, and Model Context Protocol (MCP)[cite: 1].
  • Fine-tuned Large Language Models for complex financial, risk, and compliance use cases while establishing end-to-end LLMOps pipelines with Azure AI Evaluation SDK and MLflow[cite: 1].
  • Leveraged Azure AI Foundry, Microsoft Agent Framework, Azure OpenAI, Entra Agent ID, Foundry IQ, Azure AI Content Safety, FastAPI, PySpark, Databricks, and Power BI to build scalable, secure AI platforms[cite: 1].
June 2024 – August 2026

Staff Software Architect

FTC Solar

Led company-wide AI/ML and IoT innovation initiatives to power next-generation solar tracker platforms and renewable energy infrastructure[cite: 1].

  • Designed and secured a patented AI architecture (CNN Patent for Snow Accumulation Detection) targeting solar tracker systems and renewable energy optimization[cite: 1].
  • Built scalable distributed platforms, IoT data pipelines, and cloud architectures to support global solar plant operations[cite: 1].
September 2021 – November 2023

Technical Architect

Accion Labs

Delivered serverless AI platforms and deep learning systems across enterprise IoT and healthcare domain applications[cite: 1].

  • Arlo Platform: Architected a real-time video streaming and computer vision platform on AWS for smart cameras[cite: 1].
  • Medical Imaging AI Platform: Designed deep learning systems utilizing CNNs and Keras for computer vision and medical image analysis[cite: 1].
  • Leveraged Azure Cognitive Services, Azure Applied AI, Synapse Analytics, Cosmos DB, Azure ML, and DevOps for enterprise analytics[cite: 1].
August 2020 – July 2021

Technical Architect

Impelsys

Modernized legacy client-server LMS into cloud-native AWS microservices architecture[cite: 1]. High stakeholder impact expanded the engineering team from 2 to 30+ members under his architectural leadership[cite: 1]. Utilized SageMaker, AWS Lambda, ECS, Fargate, Redshift, Glue, Lex, Polly, and Step Functions[cite: 1].

May 2018 – February 2020

Technical Architect

Mobilution

Delivered machine learning-powered e-commerce systems and Python-based microservices architecture for the American Red Cross[cite: 1].

September 2017 – April 2018

Technical Architect (Contract Roles)

Self Employed

Delivered global cloud applications, ERP systems, and IoT platforms using Django, MongoDB, and Memcached[cite: 1].

November 2016 – August 2017

Technical Architect Engineer

Rappier

Developed microservices for mobile advertising platform, optimizing data processing and reducing analysis/display latency by 30%[cite: 1].

February 2015 – November 2016

Technical Leader

MCS

Resolved critical IoT scalability challenges and delivered cloud applications for Real Estate and smart facility IoT services[cite: 1].

December 2013 – January 2015

Technical Leader

Sagarsoft Ltd

Delivered microservices ETL pipelines and medical analytical dashboards for processing large-scale healthcare data[cite: 1].

February 2011 – January 2013

Chief Architect

Ictstudio

Established Sarvottom consulting firm and provided Open Source web2 enterprise solutions using Python and PHP frameworks[cite: 1].

December 2008 – June 2010

Project Manager and Technical Lead

Mass Software Solutions

Developed PHP/MVC frameworks and APIs; recognized as Best Employee with a premium motorcycle award[cite: 1].

January 2007 – December 2008

Programmer

Great Media Technologies

Developed debt consolidation products and financial calculators during a major economic downturn[cite: 1].

September 2004 – March 2006

Education

WorldQuant University

MSc in Financial Engineering Master's Degree
Quantitative Risk & Analytics · Financial Markets · Mathematical Analysis · Artificial Intelligence · Data Science[cite: 1]
December 2024 – December 2026

Indira Gandhi National Open University (IGNOU)

Master of Computer Applications (MCA) Master's Degree
Computer Science & Software Engineering Architecture[cite: 1]
January 2000 – December 2002

Skills

AI & Agentic Systems
Multi-Agent Systems Agent Orchestration LangChain LangGraph AutoGen CrewAI MCP (Model Context Protocol) Enterprise RAG Graph RAG Vector DBs (Pinecone / FAISS / Weaviate) Model Fine-Tuning (LoRA) Prompt Engineering Guardrails & Tool Calling LLM Evaluation & Golden Datasets
Cloud Infrastructure & MLOps
Azure AWS GCP Databricks Certified MLflow Kubernetes Docker Serverless Kafka & PySpark Snowflake CI/CD Pipelines
Programming, Frameworks & Databases
Python PyTorch TensorFlow Scikit-learn FastAPI Flask Django SQL Azure Cosmos DB MongoDB
Core Expertise
  • Enterprise AI & Agentic Systems Architecture — multi-agent orchestration, MCP integration, Graph RAG, LLM fine-tuning, and LLMOps[cite: 1]
  • Forward-Deployed Engineering & Strategic Delivery — bridging executive discovery to production execution, milestones, and governance[cite: 1]
  • Multi-Cloud & MLOps Infrastructure — scalable serverless, microservices, and big data architectures on Azure, AWS, GCP, and Databricks[cite: 1]
  • Financial Risk Analytics & Compliance AI — real-time risk platforms, regulatory compliance engines, and quantitative modeling[cite: 1]

Interests

Fascinated by the convergence of Agentic AI, Multi-Agent Orchestration, and Model Context Protocol (MCP)[cite: 1] — exploring how autonomous agent workflows transform enterprise risk, financial compliance, and smart infrastructure[cite: 1].

Deeply engaged in quantitative finance, risk analytics, and financial engineering through ongoing Master's studies at WorldQuant University[cite: 1]. Active contributor to open-source developer communities, personal MVP projects, and technical writing on AI architecture[cite: 1].

Awards & Certifications

Patent Holder — CNN Snow Accumulation Detection for Solar Trackers

Secured AI/ML patent for solar tracker systems and renewable energy optimization at FTC Solar[cite: 1].

Databricks Certified Data Engineer Associate

Certified in enterprise big data engineering, PySpark, and lakehouse architectures[cite: 1].

EY Badges & Anthropic MCP Certification

EY Bronze Badges in Agentic AI & Cybersecurity AI[cite: 1]. Certified in Anthropic Model Context Protocol (MCP) Advanced Topics and Claude Code[cite: 1].

Key Professional Certifications

Includes Vanderbilt (Agentic AI Primer), Duke University (DevOps & MLOps), Stanford (Machine Learning), Microsoft (AI on Azure), DeepLearning.AI (TensorFlow Developer), AWS (Serverless Architecting), MongoDB (GenAI Apps), and IIT (Python for ML)[cite: 1].
View 100+ certifications on LinkedIn →[cite: 1]

Recommendations

Endorsed by global industry executives, IEEE Fellows, and academic leaders for technical leadership, forward-deployed engineering, and high-impact AI architecture[cite: 1]:

Read full recommendations on LinkedIn →

Blog & Writing

I regularly publish insights on Enterprise AI, Agentic Systems, MCP, Multi-Agent Orchestration, and Cloud Architecture.