Nagamohan Kumar Palakurthy
Nagamohan Kumar Palakurthy
Senior AI & Backend Engineer  ·  Dallas, TX
13+Yrs Exp
F500Clients
60%Latency ↓
12Certs
LinkedIn ↗

Architect. Builder. Problem Solver.

Senior AI & Backend Engineer — Python, FastAPI & Azure

Dallas, TX — Open to Remote / Hybrid

19 years in enterprise technology — more than 13 in architecture and technical delivery. I develop Python and FastAPI services on Azure for enterprise integrations, RAG applications, and agentic workflows, with experience spanning coding, testing, production support, and architecture across Intel and Microsoft engagements. Data engineering experience includes ETL, batch and real-time workloads, cloud data platforms, data quality, and engineering mentorship.

Key Achievements

  • FastAPI / RAG: Built production AI data-access layer cutting retrieval latency by 40%.
  • Agentic AI: Autonomous multi-step workflows with LangChain + GPT-4o at enterprise scale.
  • Data Platform: End-to-end Azure modernization — ADF, Synapse, Databricks, Power BI.

Distinctions

  • IEEE Senior Member · Author of The Generative Edge
  • Always building — explore featured work in the Build Lab tab.

GitHub Contributions

nagacodesai's GitHub Contributions
LocationDallas, TX
EducationMaster in Computer Applications
Cornell Univ. — ML Foundations (2021)

Key Certifications

Certified Agentic AI System Architect
ADaSci · July 2025
Azure Data Fundamentals (DP-900)
Microsoft · May 2021
Certified GenAI Professional – Intermediate
Infosys · June 2025
Prompt Engineering & LLMs with LangChain
Infosys · July 2025
Certified ScrumMaster (CSM)
Scrum Alliance · 2016

Credentials

17 Certifications

Verified credentials from Microsoft, Infosys, ADaSci & Cornell — click any to view full certificate.

Expertise

Core Competencies

Where I’ve spent 19 years — and where I deliver the most value today.

01 — AI / GenAI
Generative AI & Intelligent Systems
Building production RAG pipelines, agentic workflows, and LLM-powered APIs that go beyond demos into enterprise-grade delivery.
GenAI / LLMsGPT-4o / OpenAIRAGAgentic AILangChainLlamaIndexPrompt EngineeringPineconeAzure Cognitive SearchResponsible AIConversational AISemantic Searchn8n AutomationElevenLabs TTSEdge AIMicrosoft Copilot Studio
02 — Data & Cloud
Cloud Platforms & Data Engineering
Designing scalable Azure and AWS data platforms — from ingestion to ML-ready lakehouses and real-time analytics serving hundreds of users.
Microsoft AzureAzure Data FactoryAzure SynapseAzure DatabricksAzure OpenAIAWS RedshiftAWS S3SnowflakeETL / ELTData LakehousePower BIReal-Time AnalyticsML PipelinesData Quality
03 — Python Backend
Python Engineering & API Architecture
Writing and shipping FastAPI microservices daily — the hands-on engineering layer behind AI data access, cloud integrations, and enterprise automation.
PythonFastAPIFlaskREST APIsMicroservicesPydanticSQLAlchemyAlembicAsync I/OpytestAzure App ServicesAzure FunctionsKey VaultCI/CD Azure DevOpsGitHub Copilot
04 — Delivery & Leadership
Architecture & Technical Program Management
Operating as architect and TPM on the same engagement — aligning stakeholders, governing delivery, and staying active in the codebase throughout.
Solution ArchitectureTechnical Program MgmtStakeholder AlignmentAgile / ScrumRisk & GovernanceDigital TransformationEnterprise AI AdoptionExecutive CommunicationCross-functional TeamsRoadmap Planning

Career

Professional Experience

Senior Architect (Backend & AI COE), Technology Project Manager
July 2023 – Present
Infosys Technologies Intel Corporation & Global Foundries  ·  Dallas, TX
Enterprise RAG: Develop enterprise RAG applications using LLMs, embeddings, and vector search to retrieve business knowledge and ground responses in relevant source content.
FastAPI microservices: Build production FastAPI services for RAG and agent workflows, reducing retrieval latency by 40%, with Pydantic validation, async processing, and documented APIs.
Agentic AI: Build multi-step agents using LangChain and GPT-4o, and develop agents in Microsoft Copilot and Google Gemini to automate business workflows.
AI security & guardrails: Apply AI guardrails and LLM security controls to protect sensitive data, validate responses, restrict tool access, and mitigate prompt injection risks using OWASP LLM guidance.
Azure platform & security: Deploy and secure services on Azure App Service and Functions using API Management, Entra ID, managed identities, RBAC, and Key Vault.
Event-driven integration: Automate ticketing, notifications, and data synchronization through Logic Apps, Power Automate, and event-driven integrations.
Testing & production support: Own automated testing, code reviews, and production troubleshooting using pytest, Application Insights, and Log Analytics.
Data platform: Lead data platform modernization with Azure Data Factory, Synapse, and Databricks; migrated 200+ users to Power BI, reducing report generation time by 50%. Worked with Snowflake for ETL workflows within the Intel engagement.
Delivery leadership: Manage technical delivery and stakeholder coordination while contributing directly to architecture, implementation, and production support.

Personal Projects

My Build Lab

Side projects exploring AI architecture, APIs, and automation — built on my own time, with live demos.

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Social Proof

Trusted by Managers and Peers

LinkedIn recommendations from direct managers and peers at Microsoft, Informatica, Intel, and Global Foundries.

The Generative Edge Practitioner insights on GenAI, RAG & Agentic AI
260+ subscribers
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Contact

Let’s Connect

Currently open to Senior AI & Backend Developer and Senior AI Solutions Architect roles — I operate well in either seat or both at once: hands-on Python/FastAPI development and architecture/TPM delivery on the same engagement.

Based in Dallas, TX — available remote or hybrid globally. If you’re building something ambitious with AI, let’s talk.

Open to new opportunities