lithik raj

B.Tech AI & Data Science student · Aspiring Machine Learning Engineer

Bangalore, Karnataka, India

@lithik_raj

LinkedIn GitHub

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About

Motivated B.Tech student in Artificial Intelligence & Data Science with hands-on experience in machine learning, deep learning, NLP, and Flask-based web applications. Built multiple academic and internship projects spanning predictive modeling, generative AI, and AI-powered recommendation systems.

Experience

AI & Machine Learning Intern

Studix Solution

Dec 2025 – Jan 2026

Education

2028

B.Tech

Er. Perumal Manimekalai College of Engineering

Artificial Intelligence & Data Science · 2024 – 2028

Artificial Intelligence & Data Science · 2024 – 2028
2023

Class XII

SRV Boys Matriculation Higher Secondary School

Biology, Mathematics · 2022 – 2023

Biology, Mathematics · 2022 – 2023

Skills

<3 months

CSS HTML NumPy Flask Python Pandas PyTorch JavaScript Embeddings scikit-learn Deep Learning Machine Learning Model Deployment Attention Mechanisms Natural Language Processing Generative Adversarial Networks (GANs)

Tools / apps / platforms

<3 months

Git MySQL GitHub Microsoft Office Hugging Face Transformers

Projects

NEXUS AI – Unified Employee Service Application

Team hackathon project at KIT College, Coimbatore.
Intel AI Assistant

Flask, OpenRouter API

Conversational AI assistant with a web front end.
Student Result Prediction System

Flask, ML

Predicts academic performance from historical data.
Weather Status Prediction

Flask, ML

Real-time weather prediction web app.
Crop Recommendation System

Flask, ML

Recommends crops from soil and climate parameters.
House Price Prediction System

Flask, ML, HTML/CSS/JavaScript

Regression model with a glassmorphism UI.
AI-Powered Resume Screening & Job Recommendation System

Flask, MySQL, NLP

ATS-style scoring, skill extraction, and role prediction system.
COCO 2017 & Oxford-102 Flowers Dataset Exploration

Python, pandas

Exploratory analysis of classes, captions, resolutions, and image-text visualization.
Text Preprocessing & Embeddings

Hugging Face Transformers

NLP preprocessing pipeline producing text embeddings for downstream generation tasks.
Conditional GAN (CGAN) for Shape Generation

PyTorch

Baseline conditional GAN generating synthetic shape images from class labels.
Self-Attention CGAN for Shape Generation

PyTorch

Conditional GAN generating 128×128 shapes from category labels, with attention-map visualization.
Text-to-Image Generation Pipeline

PyTorch, Hugging Face Transformers

End-to-end pipeline integrating text preprocessing, embeddings, and image generation.

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