🎯 AI/ML Engineer | Building Intelligent Systems with Real-World Impact

I’m a Computer Science student with hands-on experience in Machine Learning, NLP, and end-to-end model deployment. I enjoy transforming raw data into meaningful insights and building interactive AI applications that solve practical problems. Currently working on GenAI and Deep Learning.

• 🧠 Develop ML models for regression, classification, and predictive analytics
• 💬 Build NLP-based systems for text analysis and intelligent feedback
• 🌐 Deploy AI applications using Streamlit for real-time interaction
• 📊 Perform data preprocessing, feature engineering, and model evaluation

• Smart AI Interview Assistant → AI-powered mock interview system with NLP-based response evaluation & real-time feedback

• QSAR Fish Toxicity Prediction → Built regression models (Random Forest, XGBoost) for toxicity prediction with strong evaluation metrics

• FinSight AI → Automated financial decision support system for loan risk analysis using ML classification models

AI/ML Intern @ Syllogistek

• Worked on real-world datasets for regression & classification
• Applied preprocessing, feature engineering, and model evaluation techniques
• Used tools like Pandas, Scikit-learn, and Jupyter Notebook

Languages: Python, Java, C, JavaScript ML & Data: Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy Tools: Git, GitHub, Streamlit, Jupyter, VS Code

• 🏆 NPTEL Elite Certifications (Score up to 100%)
• 💡 Participant – Smart India Hackathon
• ⚙️ Core Member – Technical Club (SWITCH)

• LinkedIn: https://www.linkedin.com/in/sarmistha-gain
• GitHub: https://github.com/sarmistha97

⭐ Always learning, building, and pushing boundaries.