Sujeeth Sundarajan Rajkumar
AI Engineer | Building LLM, RAG & Agentic AI Solutions
I build AI systems that turn complex business problems into scalable, production-ready solutions. My work focuses on LLM applications, RAG pipelines, AI agents, and intelligent automation—combining strong engineering foundations with practical AI innovation.
About Me
Passionate about building transformative solutions that create real impact
My Journey
As an AI Engineer with 3+ years of professional experience spanning software engineering and applied AI, I focus on building production-grade systems powered by Large Language Models, Retrieval-Augmented Generation, and Agentic AI. My work centers on the often-overlooked middle layer — the orchestration, prompt engineering, vector retrieval, and infrastructure that turn raw model capabilities into reliable, scalable products.
My path into AI started in traditional software engineering. I built backend systems, optimized SQL queries, and automated cloud deployments at AJR Info Systems in India before pursuing my Master's in Computer Science at the University of Texas at Arlington. Internships at Growith and an AI & Data Analyst role at UTA pulled me deeper into intelligent systems, and I eventually joined TechMentee as an AI Engineer — where I now design end-to-end LLM architectures and AI-driven workflows.
Outside of building, I write about AI engineering on Medium, follow emerging research in agentic systems and LLM orchestration closely, and explore how new model capabilities can be turned into real products. I'm a strong believer that the most valuable AI isn't the most sophisticated — it's the kind that actually ships, scales, and solves a real problem someone has.
How I Work
Clean Code
Writing maintainable, scalable code that stands the test of time
Innovation
Staying ahead of technology trends and implementing cutting-edge solutions
Collaboration
Working effectively with cross-functional teams to deliver exceptional results
Performance
Optimizing applications for speed, accessibility, and user experience
Professional Journey
From enterprise solutions to tech innovation, building scalable systems and leading AI-driven initiatives across diverse technology stacks
AI Engineer
TechMentee, Inc.
Building production-grade AI systems leveraging machine learning, deep learning, and Generative AI — from end-to-end ML pipelines to LLM-powered applications integrated into production through APIs and microservices.
Key Achievements
- Designing and deploying machine learning and deep learning models for real-world applications with a focus on scalability and production reliability
- Developing end-to-end ML pipelines covering data preprocessing, model training, evaluation, and deployment using modern MLOps practices
- Working across NLP, computer vision, and Generative AI to solve diverse business problems
- Integrating AI models into production systems via REST APIs, microservices, and modern deployment frameworks
- Collaborating with data scientists, engineers, and product teams to translate business requirements into AI-driven solutions
- Implementing responsible AI practices including bias mitigation, data privacy, model governance, and continuous performance monitoring
Technologies Used
AI & Data Analytics
The University of Texas at Arlington
Applied AI and data analytics techniques to academic and research projects at UTA, supporting data-driven decision making and operational insights.
Key Achievements
- Applied machine learning and data analysis techniques to support academic research initiatives
- Built data pipelines and analytical tools to process and visualize research datasets
- Collaborated with faculty and research teams to deliver data-driven insights
Technologies Used
Software Engineer Intern
Growith, Inc
Full-stack development of scalable web applications with modern authentication, automated testing, and database optimization in an Agile environment.
Key Achievements
- Developed and deployed full-stack web applications using React.js, Node.js, and MongoDB, improving end-user response times by 25%
- Implemented secure authentication and authorization using OAuth 2.0 and JWT
- Conducted unit testing and API debugging with Jest and Postman, increasing system stability by 15%
- Worked in Agile/Scrum teams, optimizing sprint planning and backlog refinement, boosting team efficiency by 30%
- Optimized database indexing and query structures, improving data retrieval speed by 40%
- Collaborated with UI/UX designers to enhance user experience and increase engagement by 25%
Technologies Used
Software Engineer
AJR Info Systems Pvt. Ltd
Built and optimized backend systems and cloud-deployed applications, focusing on database performance, API integration, and automated deployments.
Key Achievements
- Led user research initiatives to improve UX, increasing website usability by 30%
- Integrated REST APIs to enhance data communication between systems, improving operational efficiency by 40%
- Refactored SQL queries in PostgreSQL and MySQL, reducing response times by 30%
- Automated cloud deployments on AWS and Google Cloud Platform, increasing system uptime by 35%
- Authored 75+ pages of technical documentation, reducing new-hire onboarding time by two weeks
Technologies Used
Academic Foundation
Graduate and undergraduate studies in computer science with a focus on AI, software engineering, data systems, and scalable application development.
Master of Science in Computer Science
The University of Texas at Arlington
Relevant Coursework
Bachelor of Engineering in Computer Science
Sathyabama Institute of Science and Technology
Relevant Coursework
Publications & Writing
Research contributions and technical insights
Blockchain Fundraising and Charity Platform
Co-authored research on a blockchain-based fundraising and charity platform designed to improve transparency, trust, and accountability in donation tracking and fund distribution.
I Let AI Replace Me for a Week As a AI Engineer
An experiment where I let AI handle parts of my work for a week as a junior AI Engineer, exploring what AI could replace, where it struggled, and what I learned from the experience.
My Journey From Software Engineer to AI Engineer
A personal account of transitioning from traditional software engineering into the world of Generative AI.
Professional Certifications
Continuous learning and professional development in cutting-edge technologies
Crash Course on Python
Coursera
Foundational Python programming course covering core concepts, data structures, and automation scripting.
HTML5 & CSS3 Complete Course: Build Websites like a Pro
Udemy
Comprehensive HTML5 and CSS3 course covering modern web design, responsive layouts, and professional website development.
Foundations: Data, Data, Everywhere
Coursera
Google Data Analytics certificate covering data analysis foundations, data-driven decision making, and analytical thinking.
Introduction to Git and GitHub
Coursera
Google-backed course covering version control fundamentals, Git workflows, and collaborative development using GitHub.
Get In Touch
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