Headline

Enterprise GenAI & Agentic AI Architect · AI Solutions Architect GCP/AWS/Azure · FDE

About

Delivering 15+ years of distributed engineering paired with recent experience building real-time risk analytics platforms and formal training in Financial Engineering. Architecting robust, low-latency data pipelines and enterprise-level multi AgenticAI applications while modernizing workflows through secure AI/LLM integrations. Experienced in MACH (Microservices, API-first, Cloud-native, Headless) architecture principles, player-coach, combining strategic leadership with hands-on architecture and development of multi-agent systems, Retrieval-Augmented Generation (RAG) pipelines, and MLOps frameworks. Strong track record of translating research into production-grade solutions, including patented AI/ML innovations and successful delivery for Fortune 500 organizations. Core Skills & Expertise Generative AI & LLM Systems: Model Context Protocol (MCP), multi-agent systems (LangChain, LangGraph, CrewAI, ADK, AutoGen, Semantic Kernel), Graph RAG, Knowledge Graphs, Graph Databases, LLM fine-tuning (LoRA, QLora, Hugging Face), A2A, UCP, n8n Machine Learning Engineering & MLOps: End-to-end ML lifecycle, feature engineering, model training, deployment, monitoring, model governance, drift detection, MLOps Cloud & Distributed Architecture: AWS, Azure, GCP, serverless architecture, microservices, high-availability systems, distributed computing Data Engineering & Streaming: Apache Spark, Kafka, BigQuery, Snowflake, real-time data pipelines, Databricks (Certified Data Engineer) Technical Stack: PyTorch, TensorFlow, Scikit-learn, Keras, FastAPI, TFLite Vector & Retrieval Systems: FAISS, Pinecone, Weaviate, MongoDB, PgVector, Graph-based retrieval systems Infrastructure & DevOps: Docker, Kubernetes, CI/CD pipelines, Edge AI, IoT, SCADA systems

Location

Bengaluru

AI stack

anthropic apis

antigravity

claude code

github copilot

hugging face

langchain

Work experience

Senior Project Manager [FDE at BNY] at EY, Jun 2024 - Aug 2026 · 2 yrs 3 mos, Bengaluru, Karnataka, India, Senior AI/ML & GenAI Solutions Architect | Enterprise Risk Tech & AI Innovation EY title is Senior Project Manager Helping shape AI-driven transformation at EY & BNY Mellon Key Focus Areas: AI/ML Architecture | Generative AI (Agentic, RAG) | Production Deployment | Real-Time Risk Analytics Spearheading end-to-end development of AI/ML and GenAI solutions (Agentic AI, RAG pipelines) for enterprise-scale applications, from architecture design to deployment in production. Leading cross-functional teams at BNY Mellon to build next-gen real-time risk analytics and backtesting platforms, leveraging cutting-edge AI to redefine industry standards. Architecting cloud-native AI solutions (Azure) with strict adherence to security, scalability, and performance requirements in financial services. Driving Generative AI adoption (Agentic workflows, RAG applications) to enhance decision-making, automation, and operational efficiency. Mentoring engineers and stakeholders to bridge the gap between advanced AI concepts and business impact, ensuring scalable and auditable implementations. Contract ended 6th August 2026.

Professional development at Career Break, Dec 2023 - May 2024 · 6 mos, Germany & India, I recently explored job opportunities in Germany through JSV after shortlisted by Robert Bosch GmbH for its Chasis Control System R&D centre Abastatt, Suttgart. Other offers also not fulfilled by my career goal and long anticipated periods to convert permits. After careful consideration, I've returned to India. In the meantime, I worked remotely on a GenAI project for an Indian company. Led the design, development, and deployment of AI applications, including bots, agents, and local copilot systems using advanced AI and NLP technologies. Fine-tuned pre-trained AI/ML models from various providers, ensuring high performance and accuracy tailored to specific business needs.

Staff Software Architect at FTC Solar, Inc, Sep 2021 - Nov 2023 · 2 yrs 3 mos, Bengaluru, Karnataka, India, The company sought to leverage cutting-edge technologies like AI/ML, EDGE IoT, Drones, and Cloud for innovative projects. I took the initiative to develop a patented AI/ML application and established the foundational requirements and architecture for the company's AI, ML, EDGE IoT, Drone, and Cloud initiatives. Furthermore, I led the system architecture design and oversaw the implementation, including OTA updates, for the company's main product, Voyager. Successfully created a patented AI/ML application and provided a robust and well-defined foundation that enabled the company to confidently pursue and develop projects across AI, ML, EDGE IoT, Drones, and Cloud domains, ensuring a clear architectural direction for their flagship product, Voyager, and facilitating seamless updates. The whole team got laid off.

Technical Architect at Accion Labs, Aug 2020 - Jul 2021 · 1 yr, Bengaluru, Karnataka, India, Arlo, an AI smart camera project, faced challenges with efficient video streaming to the cloud. Also, a medical image process startup was facing challenges for their efficient image processing and prediction. Designed and developed a microservices-based SaaS application on the cloud for medical image analysis. Use predictive analysis, using CNN, Keras analyse medical images like CT scans, MRI images, X-rays, etc., to identify early signs of diseases. Architected and developed a serverless architecture in AWS to optimise video streaming from Arlo AI smart cameras to the cloud, addressing scalability and cost-efficiency concerns. Developed a robust and scalable cloud solution that significantly improved Arlo's video streaming capabilities and provided a foundation for future growth. Left for career growth and appreciation.

Technical Architect at Impelsys, May 2018 - Feb 2020 · 1 yr 10 mos, Bengaluru, Karnataka, India, Wolters Kluwer's legacy Learning Management System (LMS), built on client-server technology, faced significant challenges when attempting to operate in a cloud environment, hindering performance and scalability. Architected and led a small initial team (2 members) to develop a modern microservices-based LMS on AWS, transitioning away from the problematic legacy architecture and enabling a scalable and efficient cloud-native solution. Successfully resolved the performance and scalability issues associated with the legacy LMS, leading to such a significant positive impact and impressed stakeholders that the team size expanded to over 30 members, demonstrating the effectiveness and value of the new architecture. Left for career growth and learning potential.

Education

MSc in Financial Engineering, Financial Mathematics, WorldQuant University

Master in Computer Application, Computer Science, Indira Gandhi National Open University

Public links

github: https://github.com/dhirajpatra

medium: https://medium.com/@dhirajpatra

leetcode: https://leetcode.com/dhirajpatra

dhirajpatra.github.io: https://dhirajpatra.github.io/