✦ Hello, I am

K Kannika

Passionate about building scalable AI applications and solving real-world problems through machine learning, deep learning, and generative AI.

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Who I Am

About Me

I am a Machine Learning enthusiast currently pursuing my B.E. in Computer Science Engineering with a specialization in AI and ML.

I have hands-on experience in designing, building, and deploying AI-powered platforms. My focus lies in generative AI, deep learning, and computer vision, utilizing frameworks like TensorFlow, FastAPI, and LangChain to create practical and scalable solutions.

When I'm not studying, I enjoy exploring cutting-edge LLM advancements, building personal projects, and optimizing backend architectures for real-time data flows.

Focus Areas

🤖 GenAI🧠 Deep Learning👁️ Computer Vision⚡ FastAPI🔗 LangChain📊 Data Science

Quick Facts

🎓B.E. Computer Science (AI & ML) — MITE
📍Udupi, Karnataka, India
⭐CGPA: 8.70 / 10
🚀Open to ML & AI opportunities
📧kkannikarao07@gmail.com

My Toolkit

Skills & Expertise

Technologies and tools I work with every day

💻

Languages

PythonC++CJava
🧠

AI & Machine Learning

TensorFlowKerasScikit-learnOpenCVPandasNumPyMatplotlib
🤖

Generative AI

LLM APIsRAG / EmbeddingsLangChainLangGraphOllamaLangSmith
⚙️

Frameworks & Tools

FastAPIFlutterReactStreamlitDockerGit / GitHubPostmanMongoDBMySQL

What I've Built

Featured Projects

Real-world AI applications built from scratch — from research to deployment.

01
GenAI

Pharmalyx

↗

An AI-powered mobile application that assists pharmaceutical research by retrieving and summarizing relevant medical information from large datasets using RAG.

  • ▸Retrieval-based system using embeddings to fetch relevant documents
  • ▸Modular architecture: Flutter frontend + FastAPI backend
  • ▸Data export (PDF/CSV) for researchers

Tech Stack

FlutterRiverpodFastAPIRAGLLM APIs
02
Computer Vision

TrafficLens

↗

A traffic monitoring system that processes live video streams to detect vehicles and analyze real-world congestion patterns in real-time.

  • ▸Vehicle detection and tracking algorithms using OpenCV
  • ▸Traffic density estimation and blockage detection
  • ▸React dashboard powered by FastAPI backend

Tech Stack

PythonFastAPIReactOpenCV
03
Deep Learning

Fashion MNIST Classifier

↗

End-to-end image classification system using a robust CNN achieving ~90% accuracy on clothing items with an interactive Streamlit web app.

  • ▸Optimized via hyperparameter tuning + data preprocessing
  • ▸Real-time interactive Streamlit web application
  • ▸Containerized with Docker for consistent deployment

Tech Stack

TensorFlowKerasStreamlitDocker

Academic Background

Education & Certifications

Education

🎓
2023 – Present

B.E. Computer Science Engineering

Artificial Intelligence and Machine Learning

Mangalore Institute of Technology & Engineering

CGPA: 8.70 / 10

📚
2021 – 2023

12th Standard

Karnataka State Board

Poornaprajna PU College, Udupi

Percentage: 87.5%

Certifications

🏆

Generative AI with LangChain and Hugging Face

Udemy

"Continuously learning — exploring cutting-edge LLM advancements and building AI-powered solutions that make a real impact."

Let's Talk

Get In Touch

Currently looking for new opportunities in ML, AI, and Software Development. Whether you have a question or just want to say hi — I'll try my best to get back to you!