SURAJ PRAJAPAT

working in: • Data Engineering (ETL/ELT, Data Pipelines, Warehousing) • Machine Learning & Deep Learning • MLOps (CI/CD for ML, Model Deployment, Monitoring) • Cloud Platforms (AWS / Azure / GCP) • Big Data Technologies (Spark, Kafka, Airflow, Snowflake, Databricks) • Python, SQL, API Engineering • AI/LLM Integration and Optimization • Systems Design & Scalability Engineering

Developing and fine-tuning ML/DL models for predictive analytics, natural language processing, and computer vision Leveraging frameworks like TensorFlow, PyTorch, and Scikit-learn for end-to-end model development Working with large datasets to clean, preprocess, and extract actionable insights Implementing Generative AI techniques (LLMs, diffusion models, transformers) to drive innovation Deploying AI models with MLOps practices (Docker, Kubernetes, CI/CD, cloud platforms – AWS, Azure, GCP) Collaborating with cross-functional teams to bring AI solutions from research to production Passionate about: advancing AI capabilities, building ethical and explainable AI systems, and creating solutions that transform industries like healthcare, finance, retail, and automation.