Sumit Sourabh

Background

About Sumit Sourabh

Experienced Data Scientist with over 4 years of hands-on expertise in developing scalable, end-to-end AI solutions across Machine Learning, Deep Learning, NLP, and Generative AI. I specialize in solving complex business problems using predictive modeling, computer vision, and language intelligence. From regression/classification models to advanced RAG-based systems and fine-tuning open-source LLMs (BERT, LLaMA, Mistral), I build intelligent applications that bridge real-world needs and cutting-edge AI. Areas of Expertise: Machine Learning & Deep Learning: Linear/Logistic Regression, SVM, Random Forest, CNN, RNN, LSTM, Time Series, etc. NLP & GenAI: Strong experience in building and deploying RAG pipelines, LLM fine-tuning, prompt engineering, and developing LangChain & LangGraph-based agentic applications. Computer Vision: Built classification, detection, and segmentation models using architectures like ResNet-50, VGG-19, YOLO (v8–v12), U-Net, with TensorFlow and PyTorch. Domain Knowledge: Banking, Retail, and Healthcare. Visualization & Analysis: Proficient in Python, SQL, Pandas, NumPy, Matplotlib, Seaborn. I’m passionate about applying GenAI and agentic systems to drive automation, enhance decision-making, and create smart digital assistants. Open to collaborations, consulting, and full-time roles where AI drives impact.