Hello, World

Hardik
Yerne

AI/ML Engineer · Deep Learning · LLMs · RAG Systems

3rd-year B.Tech Computer Science student passionate about building end-to-end intelligent systems — from custom model training to production deployment. Kaggle Bronze Medalist. Builder of things that matter.

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Hardik Yerne
hardik@ai-workstation ~
$ cat profile.json
{
  "name": "Hardik Yerne",
  "role": "AI/ML Engineer",
  "year": 3,
  "degree": "B.Tech CSE",
  "focus": [
    "Deep Learning",
    "LLMs",
    "RAG Systems",
    "AI Agents"
  ],
  "kaggle": "🥉 Bronze Medalist"
}
$
Hardik Yerne
Hardik Yerne
AI/ML Engineer · CSE Student
LocationMaharashtra, India
Year3rd Year B.Tech
Kaggle🥉 Bronze
GitHubHardikYerne
Open ToInternships & Collab

About Me

Turning Data
Into Intelligence

I'm a 3rd-year B.Tech Computer Science student with a deep focus on Artificial Intelligence and Machine Learning. I enjoy building intelligent systems that bridge the gap between cutting-edge research and practical, real-world impact.

My work spans full ML pipelines — from data preprocessing and model architecture design, through training and evaluation, to production deployment with FastAPI, Docker, and AWS. I'm also deeply interested in LLM engineering, RAG systems, and fine-tuning techniques like LoRA and QLoRA.

I actively participate in Kaggle competitions and explore modern AI workflows. My recent Bronze Medal in BirdCLEF+ 2026 reflects my drive to apply ML in novel domains.

Areas of Interest

Machine Learning Deep Learning Computer Vision NLP LLMs RAG Systems AI Agents Fine-Tuning (LoRA/QLoRA) MLOps AI System Design

Technical Skills

What I Build With

🧠
AI & Machine Learning
  • Python
  • Machine Learning
  • Deep Learning (CNN, RNN)
  • Computer Vision (OpenCV)
  • TensorFlow / Keras
  • PyTorch
  • Scikit-learn
🤖
LLM Engineering
  • Large Language Models
  • Natural Language Processing
  • RAG Systems
  • LangChain / LangGraph
  • Fine-Tuning (LoRA, QLoRA)
  • Hugging Face
  • Ollama
⚙️
MLOps & Backend
  • Docker
  • AWS (S3, EC2)
  • FastAPI
  • MLflow
  • DVC
  • Git / GitHub
  • n8n (Automation)
🛠️
Object Detection
  • YOLOv8
  • EfficientNet-B0
  • ByteTrack
  • CLAHE Preprocessing
  • Transfer Learning
  • TF-IDF Vectorization
  • Whisper (STT)

Portfolio

Featured Projects

01 / COMPUTER VISION
Crop Disease Detection Model

CNN-based deep learning system using TensorFlow and transfer learning to detect and classify crop diseases from leaf images. Supports early disease diagnosis for Indian agriculture with a FastAPI backend, AWS S3 storage, and multilingual React PWA frontend.

EfficientNetB0TensorFlowFastAPIOpenCVDockerAWS S3
GitHub
02 / MEDICAL AI
Kidney Tumor Disease Classification

CNN-based deep learning model classifying CT scan images into Kidney Tumor, Stone, Cyst, and Normal categories. Applied transfer learning and advanced image preprocessing to achieve high diagnostic accuracy.

TensorFlowPyTorchCNNOpenCVTransfer Learning
GitHub
03 / NLP
Fake News Detection System

NLP binary classifier distinguishing Fake vs. Real news using TF-IDF vectorization with Logistic Regression and Passive Aggressive Classifier. Applied tokenization, stopword removal, stemming, and feature engineering.

NLPScikit-learnTF-IDFLogistic RegressionPython
GitHub
04 / AI AGENTS
Terminal AI Agent

Cross-platform voice-controlled AI desktop assistant automating OS tasks via natural language. Integrates Whisper (STT), LangGraph agent workflows, RAG-powered memory retrieval, and LangChain tool execution.

WhisperLangGraphLangChainRAGLLMsDocker
GitHub
05 / COMPUTER VISION
Real-Time Car Brand Detection & Tracking

Real-time vehicle detection and brand classification from traffic video using YOLOv8 and ByteTrack. CLAHE-based preprocessing and multi-dataset training improve performance in surveillance environments.

YOLOv8ByteTrackOpenCVEfficientNetCLAHE
GitHub

Credentials

Certifications & Achievements

📜
Machine Learning Graph
Simplilearn
🏢
Data Science
L&T
🐦
BirdCLEF+ 2026
Kaggle

Achievements

🥉
BirdCLEF+ 2026 Bronze Medalist
Kaggle Competition — Audio classification for bird species recognition
🏆
NVIDIA Nemotron Reasoning Challenge
Kaggle Competition — Model reasoning benchmark using NVIDIA's Nemotron LLM

Get In Touch

Let's Build
Something Together

Open to internships, research collaborations, and interesting AI/ML projects. If you have a problem that machine learning can solve, I'd love to talk.