Sunil G

I'm a Generative AI Engineer with over 8+ years of experience driving innovation across data science, machine learning, and AI architecture. My work focuses on building intelligent solutions using natural language processing (NLP), large language models (LLMs), and cloud-native architectures to deliver scalable, impactful results across industries like banking and retail. I specialize in designing, fine-tuning, and deploying AI/ML models that power real-world applications. With deep expertise in Python, R, SQL, and cutting-edge ML frameworks, I bring a strong command of MLOps, prompt engineering, and AI system design—backed by a track record of successful project delivery. 🔹 Key Highlights: • Developed and deployed LLM-based applications using Hugging Face, TensorFlow, and PyTorch. • Built generative AI-powered chatbots with advanced prompt engineering for highly contextual responses. • Automated full ML lifecycle with CI/CD pipelines, versioning, monitoring, and retraining using Azure DevOps, Jenkins, and GitHub Actions. • Delivered deep learning solutions (CNNs, RNNs, LSTMs, transformers) for tasks like image processing, recommendation systems, and time-series forecasting. • Designed data pipelines for structured and unstructured data using batch and real-time processing tools. • Scaled AI solutions across Azure OpenAI, AWS SageMaker, Google Vertex AI, and BigQuery. • Led workshops and knowledge-sharing sessions to enable team upskilling in Generative AI and MLOps best practices. • Drove explainable AI (XAI) initiatives to enhance model interpretability and stakeholder trust. • Ensured regulatory compliance and data governance for responsible AI workflows. Whether collaborating with cross-functional teams, aligning with business strategy, or mentoring peers, I’m passionate about transforming data into intelligent, ethical, and innovative AI solutions.