Résumé
Jegadeesh M
Senior AI & Automation Engineer · 13 Years Experience · Madurai, Tamil Nadu
Professional Summary
A results-driven Senior AI & Automation Engineer with 13 years of expertise in designing and delivering intelligent automation solutions across Finance, HR, and Operations domains. I bridge the gap between traditional enterprise automation and modern AI — combining deep hands-on experience in Workato, N8N, and Microsoft Power Platform (Power Apps, Power Automate, Power BI, Copilot Studio, Power Pages, Dataverse, Power Platform CLI) with cutting-edge AI skills in LangChain, RAG, and AI Agents. Certified across Workato, ElectroNeek, N8N, Applied GenAI, and Microsoft Power Platform.
Education
B.E. Computer Science Engineering
Professional Experience
Senior Automation Engineer — Compunnel Inc
Senior Software Engineer — Enquero (A Genpact Company)
Automation Specialist — HCL Technologies Ltd
PHP Developer — Zenstill Analytics Pvt Ltd
Web Developer — SAM-SYS Pvt Ltd
Technical Skills
| AI & LLM | LangChain, RAG, Vector DB (ChromaDB), AI Agents, MCP Protocol, Prompt Engineering, Hugging Face, PyTorch, Streaming API |
| AI Tools | Google Gemini API, Claude API (Anthropic), OpenAI API, Hugging Face Transformers, LangGraph, sentence-transformers |
| Automation | Workato, N8N, ElectroNeek, Power Automate, Google App Script, PowerShell Scripting, Ruby |
| Languages | Python, JavaScript, Node.js, PHP, Ruby |
| Web & UI | React 18, HTML, CSS, jQuery |
| Frameworks | FastAPI, Flask, LangChain, LangGraph |
| Databases | PostgreSQL, MySQL, MongoDB, ChromaDB, Pinecone, Vector Databases (FAISS) |
| Cloud & Tools | Docker, REST APIs, SOAP APIs, Google Cloud Apps, Git |
| Microsoft | Power Apps, Power Automate, Power BI, Power Virtual Agents, MS Forms, SharePoint, Dataverse, Power Pages, Copilot Studio |
Technical Experience
Selected solutions delivered by platform. Click a group to expand.
Power Apps (9)
- Employee Leave ManagementPower Apps, Power Automate, SharePoint
- IT Helpdesk Ticket SystemPower Apps, Power BI, SharePoint
- HR Employee Exit ManagementPower Apps, Power Automate, SharePoint, Teams
- Purchase Request ManagementPower Apps, Power Automate
- Inventory ManagementPower Apps, Power BI
- Expense Reimbursement SystemPower Apps, Power Automate, SharePoint, AI Builder
- AI-Powered Invoice Processing SystemPower Apps, Power Automate, AI Builder, SharePoint
- Employee Movement RequestPower Apps, Power Automate, SharePoint
- Compliance Audit ReportPower Apps, SharePoint, Power Automate
Power Automate (5)
- AI Resume ScreeningAI Builder, Power Automate
- AI Invoice Processing AutomationPower Automate, AI Builder, Outlook, SharePoint
- Salesforce Lead AutomationMicrosoft Forms, SharePoint, Power Automate, Salesforce
- Recruitment Agent – Job PostingPower Automate, Monster, LinkedIn, Dice
- Smart Document Management SystemPower Automate, SharePoint, AI Builder, Copilot
Microsoft Copilot Studio (1)
- Internal AI Chatbot for CompanyMicrosoft Copilot Studio
Workato (8)
- Coupa Approval Workflow IntegrationWorkato, Teams, Outlook, Coupa
- Jira Incident AutomationWorkato, Jira, Outlook
- Salesforce Agreement CreationWorkato, Salesforce
- NetSuite to Concur Payment Confirmation IntegrationWorkato, NetSuite, Concur
- BAML Payment File Acknowledgement to NetSuite SystemWorkato, NetSuite, BAML, SFTP
- Update Supplier/Vendor Information from NetSuite to Coupa SystemWorkato, NetSuite, Coupa
- Blackline Reconciliation between Concur and Citi BankWorkato, BlackLine, Concur, Citi Bank, SFTP
- Technology Migration Programs from MuleSoft to WorkatoWorkato, MuleSoft
N8N (2)
- AI Customer Support AgentN8N, JavaScript, AI
- AI Email Classification EngineN8N, LLM, Outlook
Publication
AI Engineer Mastery: From Zero to Production
Notion Press · 2026 · ISBN 9798904511722 · Paperback, 230 pages
Everyone is "doing AI." Most are still copy-pasting tutorial code
that breaks the moment a real user touches it. AI Engineer Mastery is the bridge —
a pragmatic, opinionated, code-heavy field guide that takes you from your first
genai.Client() call to deploying production AI systems with monitoring,
evaluation, and safety guardrails.
43 chapters covering Foundations (streaming APIs, LangChain, memory, vector databases, RAG), Agents (ReAct, MCP, CrewAI, AutoGen, LangGraph, Google ADK), and Production (LoRA fine-tuning, advanced/hybrid RAG, deployment on Vertex AI, AWS Bedrock & IBM WatsonX).
Certifications
Applied GenAI in Workato
Workato · 2024
N8N Level 1 & Level 2
N8N · 2024
GPT AI Engineer
ElectroNeek · 2024
Workato Foundation Level 1 & 2
Workato · 2023
Enterprise Automation with Workato
Workato · 2023
Integration Developer
Workato · 2023
PL-900: Power Platform Fundamentals
Microsoft · 2022
Automation Pro I & II
Workato · 2021
Working with Databases in Workato
Workato · 2021
Building SDK Custom Connectors
Workato · 2021