🚀 Full Stack Developer | 🧪 AI/ML Researcher | 🎓 B.Tech Software Engineering, DTU
- 🖥️ Passionate about developing scalable applications and conducting research in AI/ML to solve real-world challenges.
- 📊 Experienced in applying machine learning techniques to healthcare, NLP, and computer vision.
- 🔬 Enthusiastic about bridging the gap between academic research and practical applications.
- 🎯 Lifelong learner committed to pushing the boundaries of innovation through impactful projects.
- Autism Prediction Model:
Developed a machine learning model using Decision Trees, Random Forests, and XGBoost to predict autism traits. Utilized SMOTE to address class imbalance and achieved high accuracy through cross-validation and hyperparameter optimization. - CodeGini:
Research-focused VSCode extension integrating multiple LLMs for code recommendations and enhancing developer productivity. - Curvetopia:
Designed an ML-based edge detection and shape recognition system. Leveraged cubic Bézier curve fitting for shape regularization. - Promptopia:
Built an AI-driven platform for discovering and sharing AI prompts, utilizing Next.js, MongoDB, and dynamic user interfaces.
- Predictive analytics in healthcare (e.g., autism detection, diagnostic models)
- Optimization of LLMs and AI-based developer tools
- Computer vision and pattern recognition
- 📧 Email: [email protected]
Programming Languages: Python, JavaScript, TypeScript, Java, C
Frameworks & Libraries: React, Node.js, Next.js, TensorFlow, Scikit-learn, OpenCV
Cloud Platforms: AWS, GCP, Supabase
AI/ML Tools: NumPy, Pandas, XGBoost, Matplotlib
DevOps: Docker, Git, CI/CD Pipelines
"Research to understand, innovate to create." 🚀