Machine Learning Information Technology

SAIKUMAR

Python Developer

+91-978******* *************@*****.*** LinkedIn/Portfolio Chennai Tamilnadu India SUMMARY

Final year B.Tech IT student at MNM Jain Engineering College, with practical experience in Artificial Intelligence through an internship. Skilled in machine learning, data analysis, and AI development. Passionate about applying academic knowledge to real-world challenges and eager to contribute to innovative projects in the AI field.

EDUCATION

Bachelor of technology in information technology

MNM Jain Engineering college

2022 - 2026

LANGUAGES

English

Advanced

Tamil

Native

PROJECTS

RAG Chatbot

05/2025 - 05/2025 Chennai

This project implements a Retrieval Augmented Generation (RAG) chatbot using Python, LangChain, and OpenAI. The chatbot can answer questions based on a provided knowledge base. It includes both a command line interface (CLI) and a Streamlit web application for interaction Python 3.8+LangChain: For building the RAG pipeline (document loading, splitting, vector stores, chains, LLM integration). OpenAI API: For text embeddings and language model capabilities (GPT- 3.5-turbo).

FAISS: For efficient similarity search in the vector store. Streamlit: For building the interactive web application. python-dotenv: For managing environment variables. LLM Assistant

04/2025 - 04/2025 Chennai

LLM Assistant is a modular framework for building and testing agent-based interactions with Large Language Models (LLMs), including support for OpenRouter integration and Retrieval Augmented Generation (RAG) Open AI LLM Integration – Modular integration for accessing OpenRouter backed LLMs.

Agent Architecture – Separate agents for research, response generation, and core orchestration.

RAG Support – Components for retrieval-augmented workflows. Testing Scripts

Text Generation and Translation System

03/2025 - 04/2025 Chennai

A web based content generation system that leverages OpenAI’s GPT models to automate the creation and translation of high quality, context aware content for blogs, social media, and marketing material Python

OpenAI GPT (gpt-3.5-turbo, or text-davinci-003)

googletrans - Google Translate API (Python client) Flask – Lightweight web framework

FPDF – PDF generation in Python

DejaVuSans.ttf – Unicode-compatible font for multilingual PDF export KEY ACHIEVEMENTS

Your Achievement

Describe what you did and the impact it

had.

SKILLS

Python TensorFlow Scikit-learn

PyTorch Keras

Machine Learning Algorithms SQL

Cloud Platforms Model Deployment

MADLAB R

Data Analysis and Pattern Recognition

Numpy Pandas Seaborn

Seaborn

Natural Language Processing (NLP)

NLTK SpaCy XGBoost GitHub

Git

COURSES

Elements of AI:

I completed the Elements of AI course by the

University of Helsinki and Minna Learn, where

I gained a clear understanding of core AI

concepts, how AI is applied in real life, and its

impact on society. The course helped me

think critically about the opportunities and

challenges of AI in today's world.

Machine Learning Crash Course:

I completed Google’s Machine Learning Crash

Course, where I learned the basics of

machine learning, including supervised

learning, model training, evaluation, and key

concepts like overfitting and generalization.

The hands-on exercises helped me

understand how ML models are built and

improved using real-world data.

AI for Everyone by Andrew Ng:

I completed AI for Everyone by Andrew Ng,

which gave me a non-technical

understanding of how AI works and how it

can be applied in business and society. The

course helped me see how to think

strategically about AI and its real world

impact, especially in organizational and

ethical contexts.

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