🚀 Machine Learning Engineer @ Samsung Research
🔍 Passionate about AI, Data Science, and Scalable ML Solutions

I specialize in Natural Language Processing (NLP), Computer Vision, and Generative AI, leveraging transformers, CNNs, LSTMs, and BERT to build efficient, intelligent, and real-world AI applications.

✅ Relationship Prediction Model – Achieved 95% accuracy using LSTM, BI-LSTM, and BERT, leading to a granted patent.
✅ On-Screen Object Detection – Developed AI models for UI recognition and interaction enhancement, optimizing performance.
✅ OCR Text Denoising – Designed a Transformer-based encoder-decoder model, improving text recognition accuracy.
✅ Deepfake Detection – Implemented DenseNet-based transfer learning, achieving 95.74% accuracy on the DFDC dataset.
✅ Twitter Sentiment Analysis – Built an NLP pipeline with Random Forest Classifier (89.99% accuracy) for sentiment classification.

🔹 Data Science & AI – Hands-on experience with Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI.
🔹 End-to-End Model Development – Skilled in data preprocessing, feature engineering, model training, optimization, and deployment.
🔹 Problem-Solving & Algorithmic Thinking – Solved 800+ DSA problems on LeetCode, Codeforces, InterviewBit, and GeeksforGeeks.
🔹 Software Development & Agile Practices – Experienced in Agile methodologies, Scrum, and collaborative AI development.
🔹 Version Control & Collaboration – Proficient in Git & GitHub, ensuring efficient project workflow and collaboration.
🔹 System Design & Optimization – Strong foundation in operating systems, databases, and scalable software architecture.

📫 Reach Out to Me:
💌 Email: [email protected]
🔗 GitHub: Banseedhar01
💼 LinkedIn: Banseedhar Gondaliya

🚀 Let's build intelligent AI solutions together!