Summary
Overview
Work History
Education
Skills
Project Experience
AI Research & Innovation
Timeline
Generic
UdhayaKumar S

UdhayaKumar S

Chennai

Summary

AI/ML and Full Stack Engineering Leader with 9+ years of experience designing scalable cloud-native platforms,

intelligent applications, and AI-enabled systems across mobile, web, and backend ecosystems.

Expert in AI system architecture, LLM integrations, agent-based automation, and scalable microservice platforms

using Python and Flutter. Experienced in building AI-assisted developer tools, intelligent automation pipelines,

data-driven applications, and cloud-native architectures across AWS, Azure, and Firebase.

Strong background in Generative AI tools, vector search, API integrations, distributed systems, and enterprise

application architecture. Proven leader with experience guiding teams in designing and implementing AI-powered

products and intelligent digital platforms. Results-oriented professional known for engineering scalable cloud solutions and leading cross-functional teams. Expertise in AI-enabled systems and microservices architecture contributes to delivering impactful digital platforms.

Overview

10
10
years of professional experience

Work History

AI/ML & Full Stack Technical Leader

Optisol Business Solutions
Chennai
08.2016 - Current

Architected and led development of AI-enabled digital platforms for mobile web and backend systems.

Designed AI-assisted development workflows utilizing OpenAI Claude, Cursor AI, and GitHub Copilot.

Engineered microservice-based cloud platforms to support enterprise applications.

Built scalable backend services employing Python frameworks such as Django, Flask, and FastAPI.

Implemented cloud-native infrastructure leveraging AWS, Azure, and Firebase technologies.

Created secure APIs and integrated third-party enterprise services for enhanced functionality.

Developed high-performance data systems using SQL, Redis, and Firebase.

Directed engineering teams in delivering cross-platform mobile applications with Flutter and Angular.

Education

Bachelor Of Application - Computer Science

NMSSVN College
Madurai
05-2016

Skills

  • AI & Machine Learning Generative AI Integration, AI Agents, Prompt Engineering, Vector Embeddings, NLP
  • Architecture & Design AI System Architecture, Microservices, Event Driven Architecture, Distributed Systems
  • Programming Python, Dart, Kotlin, JavaScript, TypeScript
  • Frameworks Flutter, Django, Flask, FastAPI, Angular
  • Databases SQL, Firebase, Redis, NoSQL
  • Cloud & DevOps AWS, Azure, Firebase, Docker, CI/CD (Azure DevOps)
  • AI Tools OpenAI APIs, Cursor AI, GitHub Copilot, Claude AI, CodeWhisperer

Project Experience

MML Equipment Management Platform

Role: Technical Lead

Mobile asset intelligence system.

• QR scanning for equipment identification.

• GPS tracking and media documentation.

• Video processing and equipment labeling.

Danube – AI Powered Commerce Platform

Role: AI Architect / Technical Lead

Architected scalable microservice-based eCommerce platform supporting consumer applications and operational

systems.

• Designed backend architecture for order management and logistics.

• Built AI-assisted operational workflows.

• Developed Flutter mobile applications for consumers and staff.

Childcare Job Marketplace Platform

Role: Technical Lead

Designed a job marketplace connecting parents, agencies, and caregivers.

• Architected backend APIs with FastAPI.

• Implemented payment, rewards, and scalable user workflows.

Jaz Hotel Group Booking Platform

Role: Technical Lead

Large-scale hotel booking platform used across Egypt.

• Supported 50+ hotels and thousands of rooms.

• Integrated payment gateways and booking systems.

• Implemented Firebase-based user profile management.

Pharma Box Digital Pharmacy Platform

Role: Senior Software Engineer

Mobile pharmacy marketplace platform.

• Location-based product discovery.

• Stripe payment integration.

• Loyalty and rewards system.

AI Research & Innovation

• Building AI Agents for enterprise workflow automation.

• Exploring Retrieval Augmented Generation (RAG) architectures.

• Designing LLM-powered knowledge systems.

• Implementing AI-assisted development pipelines.

• Experimenting with vector search and semantic retrieval systems.

Timeline

AI/ML & Full Stack Technical Leader

Optisol Business Solutions
08.2016 - Current

Bachelor Of Application - Computer Science

NMSSVN College
UdhayaKumar S