Backend Developer with AI background | Building Scalable & Data-Driven Systems
- 🧠 Master’s in Artificial Intelligence from Dublin City University
- ⚙️ Backend Developer experienced in building scalable REST APIs using Node.js & Java
- 🚀 Improved system performance (up to 40% faster APIs, 35% lower DB latency) through optimization and efficient design
- 📊 Built end-to-end machine learning systems for fraud detection & healthcare prediction
- 💡 Strong interest in system design, performance engineering, and real-world problem solving
Backend: Node.js, Express.js, Java, REST API Design
Frontend: React, Next.js, TypeScript
Databases: MongoDB (Indexing, Schema Design), PostgreSQL, SQL
Core: Data Structures, Algorithms, System Design
ML: Scikit-learn, Model Evaluation, Feature Engineering
- Built ML pipeline on 590K+ financial transactions dataset
- Achieved 0.92 AUC-ROC with strong fraud recall optimization
- Applied advanced preprocessing, SMOTE, and feature engineering
- Benchmarked multiple models (Logistic Regression, Random Forest, XGBoost, MLP)
- Trained ML model on 40K+ patient records with 24 clinical features
- Achieved 96–98% accuracy with balanced precision and recall
- Built interactive Streamlit web app for real-time predictions
- Designed as a functional clinical decision-support prototype
- Designing scalable backend systems with better performance and reliability
- Building production-ready ML applications with real-world use cases
- Exploring cloud technologies and distributed system design
- 💼 LinkedIn: https://www.linkedin.com/in/hupatekar17
- 📧 Email: pokeharsh@gmail.com
⭐️ Open to Backend Developer, Software Engineer, and Data-Driven Engineering roles