Divyanshu Mittal — Data Scientist

I am a Junior Data Scientist at Adastra working on building scalable AI and data solutions using cloud and Generative AI technologies. My work primarily focuses on developing data pipelines, AI-driven workflows and GenAI applications to process and analyze large-scale datasets. At Adastra, I work extensively with AWS services such as Athena, Glue, S3 and Bedrock, where I help build and deploy AI pipelines for large patent datasets. My work includes extracting and transforming data from sources like the USPTO API and Google BigQuery, converting complex JSON structures into analytics-ready formats for AWS Athena and developing scalable pipelines for data processing and dashboard analytics. I have also worked on OCR pipeline optimization to improve extraction of text, tables and images from documents, as well as prompt engineering and testing of Bedrock models for Generative AI applications. Previously, I worked as a Data Engineer Intern at Heart It Out, where I built automated ETL pipelines using n8n and Make, managed data workflows and handled data ingestion into PostgreSQL and MySQL databases. My work involved pipeline debugging, workflow automation and data monitoring to ensure reliable and efficient data processing. I am particularly interested in AWS, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), chatbots and AI pipelines and I enjoy exploring how these technologies can be applied to build practical and scalable systems. Outside of work, I enjoy playing badminton and I like reading books and continuously learning about new developments in AI, data engineering and cloud technologies.

Stackforce AI infers this person is a Data Science and AI professional with a focus on cloud technologies.

Location: Mathura, Uttar Pradesh, India

Experience: 4 yrs