Heyy, I'm Monish Raj T

Just an engineer obsessed with building AI agents, playing with machine learning, and putting together cool tech. Always down to learn new things, break some code, and build interesting systems.

View my work Get in touch

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/ 01 — ABOUT

It's me

AI enthusiast & tech lover.

I'm currently working as an AI Engineer at Prayag.ai and graduated from Karpagam College of Engineering.

I'm super passionate about tech and spend most of my time exploring new AI developments, writing code, and building AI projects that solve real problems. Always down to experiment and build something cool!

monish.json

~/profile/skills

/ 02 — SKILLS

Technical Skills

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

/ 03 — 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.

PROJECT 04

AskDocs

AI-powered RAG application that chunks, embeds, and indexes document content into a vector DB for precise context retrieval and LLM chatbot answers. Features dynamic chunk splitting, source citation tracking, and a glassmorphic chat interface.

React

FastAPI

PostgreSQL OpenAI

OpenAIVector DBRAG

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/ 04 — EXPERIENCE

My Experience

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

/ 05 — 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!