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Subham Panda
AI & ML Engineer · Odisha, India

Subham Panda
builds AI that
ships.

"I don't just train models — I ship them."

3rd-year B.Tech AI & ML student at Centurion University (9.0 CGPA) — I build and deploy production ML systems, from OCR accessibility tools to real-time prediction engines.

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Get in Touch
01 · About

A little about me

I'm a 3rd-year B.Tech CSE (AI & ML) student at Centurion University, Odisha, currently holding a 9.0 CGPA.

I've built and deployed 2 live AI applications and shipped 5 ML projects end to end — including an OCR-to-speech accessibility tool. I completed an AI/ML internship at InternPe, delivering 4 production ML models.

I'm currently going deeper into PyTorch, Transformers, and LLM fine-tuning while keeping my fundamentals sharp with DSA practice and Kaggle competitions.

"I don't chase dreams, I set standards. Too rare to be normal, too focused to be average."
9.0
CGPA · B.Tech AI & ML
2
Live AI applications deployed
5
ML projects shipped end-to-end
4
Production models delivered (internship)
02 · Experience

Internship experience

AI / ML & Data Analysis Intern — InternPe May 2025 – Jun 2025 · Remote 4 projects delivered
Diabetes Classification

Diabetes Classification

SVM (RBF kernel) trained on the PIMA dataset (768 samples) with StandardScaler and a train-test split, tuned to avoid overfitting.

77% test accuracy78% train accuracy
PythonSVM · RBFScikit-learn
Car Price Prediction

Car Price Prediction

Feature engineering across 4,000+ records with IQR outlier removal and 8 encoded categorical fields, modeled with Gradient Boosting.

R² 0.09 → 0.78MAE $6,913
PythonGradient BoostingPandas
IPL Winner Prediction

IPL Match Winner Prediction

Predicted live match outcomes using 8 in-match features — venue, teams, runs, wickets, overs, and last-5 stats — via Random Forest.

95% test accuracy99% train accuracy
PythonRandom Forest8 features
Breast Cancer Detection

Breast Cancer Detection

Deep learning classifier (Sequential — Dense + Dropout, StandardScaler) on the Wisconsin dataset, validated with confusion matrix and classification report.

97% accuracyno overfitting
KerasDeep LearningWisconsin dataset
03 · Projects

Personal projects

Live

NeuroReader AI

An accessibility tool that extracts text from documents via file upload or a live camera feed and converts it to audio through an OCR → TTS pipeline (camera input → OpenCV preprocessing → pytesseract OCR → gTTS audio output).

PythonOpenCVpytesseractgTTSStreamlit
Live

Wine Quality Detection

A multi-layer ANN (Dense + Dropout) trained on 11 physicochemical features with a stratified split for generalization, wrapped in an interactive web app for instant quality predictions.

PythonKeras · ANNDropoutStreamlit
Analysis

Customer Segmentation — K-Means Clustering

Clustered 200 customers using the Elbow Method to find an optimal K=5 (Silhouette Score 0.5547), identifying 5 segments — Premium, Impulsive, Careful Savers, Budget, Average — with targeted marketing recommendations.

Silhouette 0.5547K = 5 clusters
PythonK-MeansPlotlyScikit-learn
04 · Skills

What I work with

Languages:Python, Java, C
ML / AI:Scikit-learn, TensorFlow, Keras, Random Forest, SVM, Gradient Boost, ANN, K-Means
Vision / NLP:OpenCV, pytesseract, gTTS
Data:NumPy, Pandas, Matplotlib, Seaborn, Plotly
Deploy & Tools:Streamlit, Flask, Git, GitHub, MySQL, Jupyter
Learning Now:PyTorch, SQL, Transformers, LLM Fine-tuning, Deep Learning
05 · Education

Academic background

B.Tech — CSE (AI & ML)

Centurion University, Odisha
2024 – 2028
9.0 CGPA

Class XII · Science (PCM)

SCS Higher Secondary School
CHSE Odisha · 2023
79%

Class X

Bhargabi High School
BSE Odisha · 2021
84%

Certifications & Activities

  • Ethics in the Age of Generative AI — certification completed
  • GFG Java Programming Course — in progress
  • Regular LeetCode DSA practice & Kaggle competitions
  • Languages: English (Professional), Hindi (Fluent), Odia (Native)
06 · Contact

Let's talk

Open to internships

Looking for AI/ML internship opportunities where I can keep shipping models that actually make it to production. Based in Puri, Odisha — open to remote work.