Rajesh T — Co-Founder

Most engineering teams want to integrate AI — but they're stuck between proof-of-concept demos and production-ready systems. The gap isn't ambition. It's engineering judgment. I bridge that gap. Over 10+ years, I've built and taught production Full Stack systems — MERN, MEAN, Java/Spring Boot — and watched what actually breaks when developers move from tutorials into real codebases. That ground-level engineering insight is what I now bring to AI integration work. Today I design and build AI-powered applications with a focus on RAG pipelines, vector search architectures, LLM orchestration, and agentic workflows. I've deployed production AI systems that connect LLMs to real enterprise data — not toy demos. My point of view: The next 3 years will split engineering teams into two groups — those who can reason about AI systems architecturally, and those who just call APIs. I help teams land on the right side of that divide. I work with: → GCC engineering teams adopting AI in their workflows → Startups building AI-native products → Engineering managers upskilling their teams for the AI era Writing about practical AI engineering on LinkedIn — RAG systems, agentic design patterns, AI-assisted development, LLM evaluation. Open to: AI integration consulting, engineering team workshops, speaking engagements. DM me or connect at https://www.rajesh-t.dev

Stackforce AI infers this person is a Full Stack Engineer specializing in AI integration for SaaS applications.

Location: Hyderabad, Telangana, India

Experience: 4 yrs 1 mo

Skills

Large Language Models (llm)
Mern Stack
Full-stack Development
Rag
Llm Integration

Career Highlights

Over 10 years of experience in Full Stack development.
Expert in AI integration and building production-ready systems.
Strong focus on practical AI engineering and team upskilling.

Work Experience

Anurag University

Full stack web developer program (3 mos)

Cognizant

Full Stack Developer — AI/ML (8 mos)

Wipro

Full Stack Web Instructor (4 mos)

Cognizant

Full stack web development Instructor (4 mos)

West Agile Labs

Full Stack Instructor (2 mos)

Cognizant

Full stack Instructor ( MEAN & MERN Stacks ) (2 yrs 11 mos)

MastersCoding

Founder & Chief instructor (6 yrs 8 mos)

VNR Vignanajyothi Institute of Engineering & Technology

AI powered Full Stack Web developer program Instructor (8 yrs 4 mos)

Second Campus

Chief Instructor (3 yrs 7 mos)

Circular Edge

Software Engineer (4 yrs 1 mo)

Freelancing

Freelance Trainer (4 yrs 3 mos)

Education

Master of Computer Applications (MCA) at Andhra University

Master of Technology (M.Tech.) at Acharya Nagarjuna University

Rajesh T

Co-Founder

Hyderabad, Telangana, India4 yrs 1 mo experience

Highly StableAI Enabled

Key Highlights

Over 10 years of experience in Full Stack development.
Expert in AI integration and building production-ready systems.
Strong focus on practical AI engineering and team upskilling.

Stackforce AI infers this person is a Full Stack Engineer specializing in AI integration for SaaS applications.

Contact

Skills

Core Skills

Large Language Models (llm)Mern StackFull-stack DevelopmentRagLlm Integration

Other Skills

Sequelize.jsRetrieval-Augmented Generation (RAG)Next.jsNode.jsangular 2.xSpring FrameworkExpress.jsMongoDBJavaScriptHTML5Cascading Style Sheets (CSS)JSON Web Token (JWT)AngularECMAScriptReact.js

About

Experience

4 yrs 1 mo

Total Experience

4 yrs 1 mo

Average Tenure

Current Experience

Anurag university

Full stack web developer program

Dec 2025 – Mar 2026 · 3 mos · Hyderabad · On-site

Designed and delivered an industry-oriented Full Stack Web Development training program focused on modern JavaScript ecosystems, backend-first architecture, and real-world project development. Trained engineering graduates in technologies including JavaScript, Node.js, Express.js, MongoDB, React, REST APIs, authentication, and AI-powered application features such as semantic search and intelligent integrations. Emphasized hands-on learning, problem-solving, clean coding practices, and production-ready development workflows.

Express.jsJavaScriptNode.jsMongoose ODMReact.jsFull-Stack Development

Cognizant

Full Stack Developer — AI/ML

Aug 2025 – Apr 2026 · 8 mos · Chennai · On-site

Designed and built HireIQ end-to-end — an AI-powered job board that applies RAG
architecture and semantic vector search to make job matching smarter.
Architected a MERN stack application with role-based access for jobseekers,
recruiters, and admins — covering the full hiring workflow from posting to application
management.
Implemented a RAG pipeline: job and user profile embeddings generated via Cohere
(embed-english-v3.0, 1024-dim) stored in MongoDB Atlas, queried at runtime using
$vectorSearch (cosine similarity) to retrieve context fed into Groq LLaMA 3.1.
Built a real-time AI chatbot with Server-Sent Events (SSE) streaming, a semantic
job recommendation engine, resume parsing via pdf-parse, and an LLM-based
skill-gap analyser.
Secured the API with JWT in httpOnly cookies, express-rate-limit on auth routes,
and express-mongo-sanitize — deployed on Render (backend) and Vercel (frontend).
Delivered the full AI feature set within free-tier API limits — Cohere, Groq,
MongoDB Atlas M0, and Cloudinary.
Skills: Node.js · React · MongoDB Atlas Vector Search · RAG · LLM Integration ·
Cohere · Groq · REST APIs · Zustand · React Query · Tailwind CSS · Cloudinary