Hi, I'm Nimalan Mani

AI/ML Engineer • Full Stack Developer • Problem Solver

AI/ML undergraduate focused on building end-to-end data-driven solutions using Machine Learning, NLP, RAG systems, and modern web technologies. Passionate about developing intelligent applications that solve real-world problems.

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About Me

I am a BE CSE (Artificial Intelligence & Machine Learning) student at Chennai Institute of Technology with a strong interest in Machine Learning, NLP, and Software Development.


I enjoy building intelligent applications ranging from RAG-powered customer support systems and document intelligence platforms to predictive analytics solutions.


Alongside AI/ML, I actively practice Data Structures and Algorithms and have solved over 700+ LeetCode problems.


CGPA: 7.97

Skills

Programming

PythonC++SQLJavaScript

AI / ML

Machine LearningNLPRAGVector EmbeddingsOCR

Frameworks

FastAPINext.jsReact

Libraries

Scikit-learnPandasNumPyMatplotlibChromaDBOllamaTesseract OCR

Databases

SQLiteMySQL

Tools

GitGitHubDockerPower BIStreamlitVS CodeJupyter Notebook

Experience

AI/ML Intern

Vivid Infotech

May 2026 – Jun 2026

Enhanced an AI Receptionist SaaS platform using FastAPI, Next.js, ChromaDB, and Ollama. Implemented Retrieval-Augmented Generation (RAG), OCR-based document ingestion, WhatsApp integration, conversation analytics, and export functionality.

Data Analytics Intern

Kaashiv Infotech

Nov 2025 – Dec 2025

Performed data cleaning, visualization, exploratory analysis, and insight generation using real-world datasets to support business decision-making.

Projects

AI Receptionist & Customer Interaction SaaS

Developed a RAG-powered customer support platform using FastAPI, Next.js, ChromaDB, and Ollama with website and PDF knowledge ingestion.

FastAPI • Next.js • ChromaDB • Ollama • RAG

NLP-Based Document Intelligence System

Built an AI-powered document intelligence platform using FastAPI, spaCy, and Tesseract OCR to extract structured information from scanned documents using Named Entity Recognition.

FastAPI • NLP • spaCy • OCR • Docker

NASA Predictive Maintenance System

Developed an end-to-end predictive maintenance system using XGBoost on NASA CMAPSS dataset to estimate aircraft engine Remaining Useful Life (RUL) with probabilistic risk scoring.

Python • XGBoost • Streamlit • Docker

Certifications

AWS Cloud Practitioner Essentials

Programming Essentials in Python - Cisco

Introduction to Data Science - Cisco

Achievements

Shaastra Programming Contest Finalist

IIT Madras

2026

Reverse Coding X Finalist

Competitive Programming

2026

Solved 700+ LeetCode Problems

Data Structures & Algorithms

Ongoing

Get In Touch

Interested in AI/ML, software development, data analytics, internships, or collaboration opportunities? Feel free to reach out and I'll get back to you as soon as possible.