Summary
Kalyan Srivastava is a Senior Data Scientist and AI/ML engineer with a PhD in biochemistry and over a decade of cross-disciplinary experience applying machine learning to healthcare, clinical trials, and computational biology. He designs and ships LLM-powered automation, RAG systems, and NLP/OCR pipelines for regulated biomedical environments, and has migrated legacy SAS workflows to Databricks-powered, production-grade PySpark pipelines. His work spans high-dimensional biological data (RNA-seq, CyTOF/flow cytometry, genomics), CDISC-compliant clinical data engineering, and modern ML tooling including LangChain, BioBERT/ClinicalBERT, PyTorch/TensorFlow, and cloud deployment on SageMaker/Databricks. At McKesson and Danaher he built practical conversational AI assistants and automated adverse-event extraction, while earlier research roles yielded biomarker discoveries and multiple publications. Based in Utah, he uniquely bridges lab-born scientific rigor with production ML engineering to accelerate decision-making for clinical, pharma, and biotech teams.
5 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (PhD), Platelet Signal Transduction, Department of Biochemistry, Doctor of Philosophy (PhD), Platelet Signal Transduction, Department of Biochemistry at Institute of Medical Sciences Banaras Hindu University
MSc (Biochemistry & Molecular Biology), BSc (Chemistry Hons.), Science, MSc (Biochemistry & Molecular Biology), BSc (Chemistry Hons.), Science at Institute of Science - Banaras Hindu University
Hindi, English