Yadhu Krishna K

About

Full-Stack Developer

Based in India ⚲

Open to Work

Fresher

“When I’m not coding, you’ll find me on the mountains, reading books, or sharing a good meal with friends.”

Proficiencies

Skills

Artificial Intelligence

Machine Learning

Natural Language Processing

Computer Vision

Deep Learning

Tools

Git & GitHub

VS Code

Jupyter Notebook

Google Colab

MySQL

Tech Stack

Python

Java

JavaScript (ES6+)

TensorFlow

Keras

OpenCV

Spring Boot

SQL

Work

Full Stack Java Development Internship — Besant Technologies, Bangalore (2022–2023)

• Trained in Java, JavaScript, HTML, CSS, Spring Boot, and MySQL.

• Built basic full-stack applications using Spring Boot and frontend technologies.

• Gained hands-on experience in APIs, databases, and web application development.

Education

M.Sc in Artificial Intelligence & Machine Learning

Rajiv Gandhi National Institute of Youth Development (RGNIYD) , Chennai

2023 – 2025 · GPA: 6.65

B.Sc in Computer Science

University of Calicut , Kerala

2019 – 2022 · GPA: 5.3

Certifications

• Oracle Cloud Infrastructure (OCI) – Generative AI (2025) — View

• MLOps Bootcamp – Udemy (2025) — View

• Full-Stack Web Development Bootcamp – Udemy (2025) — View

Projects

LinkedIn Content Generator (Capstone Project) (2025)

• Developed an AI-powered tool that generates professional LinkedIn posts using LLM-based few-shot learning.

• Extracted influencer writing styles, tones, and formatting to train the content-generation pipeline.

• Implemented dataset preparation, content refinement, and style replication using Groq/OpenAI APIs.

Real-Time Edge Detection Application (2024)

• Built a live edge detection system using OpenCV with optimized Canny and Sobel filters.

Object Tracking Using Optical Flow (2024)

• Designed a Lucas–Kanade optical flow model for real-time motion tracking.

Celebrity Lookalike Finder (Transfer Learning) (2024)

• Used pretrained CNN models to compute facial embeddings and match similar celebrity faces.

Text Generation using LSTM (2024)

• Trained an LSTM-based neural network to generate text sequences from user datasets.

Shopping Catalog Chatbot (2024)

• Developed an NLP chatbot that suggests products based on user intent.

Dream Home – AR Interior Visualizer (2024)

• Created an AR tool to visualize 3D furniture models inside real environments.