Hire Hemanth M. - Generative AI Engineer

About hemanth

I am a Generative AI Engineer with over 5 years of experience designing, developing, and deploying cutting-edge AI solutions that transform businesses across finance, healthcare, and insurance. My expertise spans Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), and Deep Learning, with a proven record of building production-ready, scalable AI systems that deliver measurable impact. My core strength lies in fine-tuning and deploying advanced LLMs such as GPT, BERT, T5, and Llama for diverse applications including text generation, summarization, question answering, and conversational AI. I have successfully designed and implemented Retrieval-Augmented Generation (RAG) pipelines, integrated LangChain with vector databases such as Pinecone, FAISS, and Weaviate, and applied Reinforcement Learning from Human Feedback (RLHF) to align AI outputs with user intent and safety guidelines. Beyond text-based AI, I have developed Diffusion Models and GANs for image generation, enhancement, and creative media tasks, combining TensorFlow, PyTorch, Hugging Face Transformers, and Keras with advanced MLOps practices to create end-to-end AI solutions. My experience includes building multimodal AI applications integrating CLIP, BLIP, Vision Transformers (ViT), and speech technologies like Whisper, Tacotron 2, and WaveGlow for speech-to-text and text-to-speech pipelines. I am highly skilled in designing scalable AI infrastructure and automating model lifecycles using Kubeflow, MLflow, Airflow, Docker, and Kubernetes, ensuring reliable training, deployment, and monitoring of AI systems. I work extensively with cloud platforms including AWS SageMaker, Google Cloud AI Platform, and Microsoft Azure Machine Learning, leveraging GPUs, TPUs, and distributed computing for high-performance model training and inference. My professional journey includes impactful roles at Citi Bank, Frost Bank, Shriram General Insurance, and Max Bupa Health Insurance, where I delivered AI-driven solutions for fraud detection, credit risk modeling, customer service automation, predictive analytics, and personalized recommendations.Passionate about Responsible AI and ethical machine learning, I focus on bias mitigation, fairness, and transparency using tools like SHAP, LIME, and Fairlearn. I am driven to create intelligent, safe, and scalable AI systems that bridge cutting-edge research with real-world business value—helping organizations innovate and stay ahead in an AI-powered future.

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