🚀 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]
• 🌐 LinkedIn

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." 🚀