Sourav Kumar

I am currently working as an AI/ML Intern at Logicspice Consultancy, where I develop AI-driven solutions and machine learning systems for real-world applications. My work involves building intelligent models, analyzing complex datasets, and developing scalable AI-powered APIs that help automate business processes and support data-driven decision-making.I work across the end-to-end AI development lifecycle, including data preprocessing, exploratory data analysis (EDA), feature engineering, model development, evaluation, and deployment. I am particularly interested in building scalable AI systems that combine Machine Learning, Deep Learning, and Generative AI to solve practical problems.My technical stack includes Python, C, and SQL, along with machine learning and data science libraries such as PyTorch, Scikit-learn, NumPy, Pandas, Matplotlib, Seaborn, Plotly, and Bokeh for building models and performing data analysis.For backend and production systems, I build AI-powered APIs using FastAPI and Flask, enabling machine learning and Generative AI models to be integrated into real-world applications. I also work with Docker and AWS (EC2) to containerize and deploy scalable AI solutions.My key areas of expertise include:• Machine Learning & Deep Learning• Generative AI and AI-powered applications• Natural Language Processing (NLP)• Data Science & Data Analysis• Exploratory Data Analysis (EDA)• Data Preprocessing & Feature Engineering• AI Model Deployment and RESTful APIsI regularly use tools such as Power BI, Excel, Git, GitHub, and Jupyter Notebook for data exploration, visualization, experimentation, and collaboration.Alongside my professional work, I am also a final-year B.Tech student specializing in Artificial Intelligence and Data Science, continuously building projects in AI systems, intelligent automation, and data-driven applications.🚀 Open to opportunities in AI/ML Engineer, Machine Learning Engineer, Generative AI Engineer, Data Scientist, and other data-focused roles.I am always open to connecting with professionals and teams working in Artificial Intelligence, Machine Learning, Generative AI, and Data Science.