Summary
Nischal Mahaveer Chand is a Senior Data Scientist specializing in agentic AI and decision intelligence with a decade of experience translating messy multi-omics and clinical data into production-ready ML, deep learning, and GenAI solutions for drug discovery and biomarker development. Based in Boston, he has led end-to-end projects from novel graph neural network models for SAR and cancer detection through analytical and clinical validation to deployed RAG-based conversational agents that saved hundreds of manual review hours. He blends hands-on MLOps and DevOps (containerized CI/CD, MLflow, cloud formation) with domain fluency in TCGA/GTEx/ICGC and lab-to-analytics integration, enabling rapid in-silico experimentation. A Northeastern MS graduate and published researcher (Google Scholar profile), he also mentors teams on LLMOps and champions pragmatic adoption of cloud and LLM tooling. Less obvious: he pairs deep technical rigor with product instincts, having driven B2C revenue growth as a Technology Lead and maintained HPC/Linux stacks early in his career.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Technology (BTech), Computer Science, Bachelor of Technology (BTech), Computer Science at Alliance University
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Northeastern University
English, Hindi, Kannada, Marwari