Rohit Raj Saji, AI Engineer: interactive portfolio

AI ENGINEER VERSION

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Rohit Raj Saji

AI Engineer · Full-Stack Development

Chennai, India · Open to relocation

Summary

AI Engineer at UST working on AI-assisted application development, agentic engineering workflows, and legacy application modernization. Experienced in modernizing a Fortune 500 retailer's AS400/IBM i applications to Next.js, facilitating hands-on engineering workshops, and helping engineering stakeholders build custom AI agents.

Hands-on experience across full-stack development, Java/Spring ecosystems, React/Next.js, Python, REST APIs, AI agent workflows, engineering governance, validation, and reusable development automation.

Experience

Developer I, Software Engineering, UST

Mar 2026 – Present · Chennai, India

  • Working on UI modernization of a Fortune 500 retailer's applications from AS400/IBM i to Next.js using custom-built agentic workflows.
  • Worked on application modernization, requirements interpretation, implementation of agentic workflows, testing, review, and development traceability.
  • Presented the retail client's modernization approach at an AI workshop held 15–18 September 2026.
  • Worked with Head of Engineering, Solution Architect, and Lead Engineer stakeholders during hands-on sessions.
  • Guided participants through project-related development using custom-built agentic workflows and helped engineers create custom agents tailored to their workflows.
  • Contributed to agent engineering and engineering enablement, including reusable agents, workflow components, validation mechanisms, and structured agent interactions.
  • Completed Java full-stack training and worked with technologies including Java, Spring Boot, Next.js, relational databases, REST APIs, JWT, testing, and Git-based development workflows.

MERN Stack Engineer Intern, Softnotions Technologies

Nov – Dec 2025 · Internship

  • Completed a one-month software engineering internship focused on the MERN stack.
  • Gained hands-on experience building and working with full-stack web application components.

MERN Stack Trainee, Luminar Technolab

Jul – Dec 2025 · Training

  • Trained in React, Node.js, Express, MongoDB, JavaScript, REST APIs, authentication, and deployment concepts.
  • Developed full-stack applications involving CRUD operations, frontend/backend integration, and API development.

Selected projects

AI Factory: AI-Assisted Engineering & Agent Workflows

Worked on hardening and using an AI-assisted engineering framework for structured software-development workflows. Used the framework as part of the retail modernization workflow and engineering enablement sessions.

Focus areas

  • Agent and sub-agent orchestration
  • Reusable agents, commands, skills, rules, and templates
  • Scoped agent responsibilities and separation of duties
  • Validation and artifact-quality checks
  • Approval-aware engineering workflows
  • Traceability and evidence-based development
  • Custom-agent enablement for engineering teams

Technologies and topics: Agent orchestration, Workflow governance, Validation

AI Portal: Six-Module AI Application Portal

Worked on an AI application portal that combines a Next.js frontend with a Flask backend, modular service routes, frontend API integration, and AI-oriented application workflows.

Modules

  • Model Arena
  • Tutor
  • Translator
  • Voice Document Generator
  • Whiteboard Cam
  • Sketch-to-UI

Technologies and topics: Next.js, React, TypeScript, Python, Flask

Mnemo: Knowledge Management & Retrieval

Prototype

Worked on an organizational knowledge-management prototype designed to turn scattered information into structured, connected knowledge.

Capabilities

  • Interactive knowledge graph
  • Relationship provenance
  • Knowledge updates and organization
  • Graph-aware information retrieval
  • Bounded graph expansion
  • Reciprocal-rank fusion
  • Citation-oriented answer generation

Technologies and topics: React, TypeScript, Knowledge Graphs, Retrieval

Sovereign: Local AI Engineering System

Ongoing

Developing a local-first AI engineering system focused on governed agent execution and local model integration.

Concepts

  • Local LLM integration
  • Controller-governed agent execution
  • Permission boundaries
  • Approval and audit mechanisms
  • Recovery and deterministic execution
  • SQLite-backed state
  • Tool and process isolation
  • Verification-driven software development

Technologies and topics: Local LLMs, Agent governance, SQLite

Technical skills

AI & Agent Engineering
AI-assisted development, Agent/sub-agent workflows, Custom agents, Tool orchestration, Agent contracts, Workflow governance, Validation pipelines, Local LLM integration, Retrieval systems
Frontend
React, Next.js, TypeScript, JavaScript, Tailwind CSS, HTML, CSS, Vite
Backend
Java, Spring Boot, Node.js, Express, Python, Flask, REST APIs
Databases
PostgreSQL, MySQL, MongoDB, SQLite
Engineering
Git, GitHub, Debugging, Testing, Code review, Technical documentation, Workflow design, Engineering enablement
Cloud & Deployment
AWS EC2, Nginx, PM2, GitHub Actions

Education

Bachelor of Technology, Computer Science and Engineering

Providence College of Engineering, Chengannur · APJ Abdul Kalam Technological University · Nov 2021 – Apr 2025

Languages and certifications

  • IELTS Academic · Overall Band 7.5
  • English · Professional working proficiency

Open to

Open to software engineering and AI engineering opportunities, including:

  • AI Engineer
  • Applied AI Engineer
  • AI Agent / Agentic AI Engineer
  • Generative AI / LLM Engineer
  • Software Engineer — AI
  • Backend Engineer
  • Full-Stack Engineer
  • Java / Spring Engineer
  • AI Enablement / Developer Productivity
  • Software Modernization Engineer
  • Solutions / Forward-Deployed Engineering