Brundha J.

I’m a Machine Learning Engineer with a Master’s in Data Science and over 3 years of hands-on experience developing AI solutions across domains like healthcare, voice recognition, and natural language processing. I specialize in applying deep learning, computer vision, and NLP to real-world problems from medical image classification to building real-time voice recognition pipelines.My work bridges the gap between academic research and practical implementation. I’ve published peer-reviewed papers on Named Entity Recognition, autism classification using deep learning, and vector-based information retrieval and have built custom CNNs and NLP models tailored for production use. I’m highly proficient in Python, PyTorch, scikit-learn, BERT, and LSTM, and I’ve also worked with automation tools like PyTest for software testing in medical device environments.What sets me apart is my ability to integrate machine learning into broader systems combining data science with strong software engineering practices. I bring a thoughtful, research-informed approach to model design, a passion for clean and maintainable code, and the flexibility to thrive in remote, collaborative teams.I’m now looking for remote opportunities where I can contribute to meaningful, AI-driven projects especially in NLP, computer vision, or applied machine learning roles. Open to full-time roles, research collaborations, and AI startups solving impactful problems.