Available for opportunities

Hi, I'm Monish Raj T

AI Engineer & Data Scientist

I build intelligent systems, multi-agent workflows, and scalable backends — blending AI/LLM orchestration, machine learning, and clean engineering.

View my work Get in touch

👋 Hello

🤖 AI & LLMs

🧠 Deep Learning

/ 01 — ABOUT

Turning AI research into production systems.

I'm an AI Engineering Intern at Prayag.ai, building production-grade AI systems — LLM agents, RAG pipelines, real-time transcription backends, and multi-agent orchestration using FastAPI, Redis, OpenAI, and Gemini.

I obsess over latency, structured outputs, and making LLMs behave predictably at scale. From semantic search to async pipelines, I ship.

Projects Shipped

30%

Performance Gains

LLM Integrations

8.2

CGPA (Karpagam College)

monish.json

~/profile/skills

{

"role": "AI Engineer",

"stack": ["FastAPI", "OpenAI", "Redis"],

"focus": ["LLM agents", "RAG"],

"location": "Coimbatore, India",

"status": "shipping"_

}

/ 02 — CAPABILITIES

Technical Capabilities

The rotating system cycles through technical domains, sliding relevant skill orbs in and out of focus.

🤖 AI & LLM

AI & Agentic Systems

Designing contextual LLM orchestrations, semantic vector search indexes, and multi-agent collaborative workflows.

OpenAIGeminiRAGLLM AgentsMulti-Agent

cognitive_pipelineSTATE: ACTIVE

/ 04 — WORK

Creations

PROJECT 01

AI Notetaker (Prayag.ai)

Real-time meeting intelligence converts live conversations into structured summaries, action items, and insights. 30% performance gain via Redis caching.

React

FastAPI

Redis

PostgreSQL OpenAI

OpenAI

Gemini

Click to expand

transcribe_session: converted live

PROJECT 02

Brain Tumor Detection + XAI

MRI-based brain tumor classification with ~97% accuracy using VGG16/EfficientNet. Integrated Grad-CAM for medical activation heatmaps.

● XAI Scanning MRI...[97.28% GLIOMA]

Tumor

Report: Grad-CAM heatmap active. Bounding box validated.

Python

TensorFlowCNNGrad-CAM

Streamlit

Click to expand

PROJECT 03

Automated ML Framework

End-to-end automated ML pipeline for cleaning, feature engineering, and hyperparameter tuning with an interactive dashboard.

Python

Streamlit

Scikit-learn

TensorFlow Optuna

Optuna

Click to expand

automl_core_cli

> optuna.optimize()

[Trial #12] Accuracy: 98.42%

[INFO] Optimization complete

[ONNX] Weights exported.

// 05 — Journey

My Journey

A path of continuous learning, building, and shipping AI-powered solutions
that create real-world impact.

AI Engineer

Prayag.ai•May 2026 — Present◉ Current

Full-time

Transforming complex business workflows into intelligent AI-driven systems using multi-agent orchestration, RAG architectures, and production-ready LLM applications serving real-world enterprise needs.

Designed and shipped autonomous multi-agent pipelines for enterprise automation.
Built scalable RAG systems, intelligent document processing, and knowledge assistants.
Architected real-time LLM workflows with optimized routing and high-throughput WebSocket streaming.

Python

FastAPI

LangChain

PostgreSQL Redis

Redis

AI Engineering Intern

Prayag.ai•June 2025 — May 2026

Internship

Built and deployed AI-powered backend services, retrieval systems, and automation pipelines that enhanced productivity, reduced manual effort, and improved operational efficiency.

Built FastAPI microservices and integrated them with LLM workflows.
Engineered real-time meeting transcripts and summarization pipelines.
Implemented multi-agent summarizers and improved system latency by 30%.

Python

Redis

PostgreSQL Docker

Docker

B.Tech — AI & Data Science

Karpagam College of Engineering•2022 — 2026

Education

Deep training in machine learning, neural networks, databases, and core computing. Graduated with CGPA 8.20.

Relevant Coursework: ML, Deep Learning, NLP, Data Structures, DBMS, OS.
Academic Projects: RAG Systems, AI Agents, Document Intelligence, Data Analytics.

Machine Learning

Deep Learning SQL

SQL

Data Science

Contact

Let's connect — anywhere on Earth

Reach out via phone (+91 7418561807) or email (monishraj2k5@gmail.com). You can also drop a message below!