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
- 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
- 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
- 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.
- 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
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.
- Model Arena
- Tutor
- Translator
- Voice Document Generator
- Whiteboard Cam
- Sketch-to-UI
Mnemo: Knowledge Management & Retrieval
Worked on an organizational knowledge-management prototype designed to turn scattered information into structured, connected knowledge.
- Interactive knowledge graph
- Relationship provenance
- Knowledge updates and organization
- Graph-aware information retrieval
- Bounded graph expansion
- Reciprocal-rank fusion
- Citation-oriented answer generation
Sovereign: Local AI Engineering System
Developing a local-first AI engineering system focused on governed agent execution and local model integration.
- 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
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
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