Summary
Sraddhanjali Acharya is an AI/ML consultant and senior backend engineer with a Ph.D. in Computer Science and 11 years of experience building production systems across healthcare, embedded ML, and semiconductor tooling. She designs AI MVPs and technical strategy for startups, recently delivering constraint-based scheduling with CP-SAT, LLM-powered clinical note pipelines, and a hybrid RAG system that halved cloud inference costs using a locally fine-tuned Mistral 7B. At Qualcomm she scaled anomaly-detection pipelines to 150M+ inputs and optimized clock-path scanning from O(n) to O(log n), cutting runtime and cloud spend by half. Her academic work produced high-accuracy biometric and side-channel ML systems and led an NSF I-Corps team that ran 100+ customer interviews and won a $50K award. Comfortable across Python, FastAPI, Django, PyTorch and AWS, she combines deep research rigor with pragmatic production deployments and CI/CD automation. Based in Encinitas, she’s also a committed surfer and SurfAid volunteer who has raised funds to support healthcare and clean water in remote communities.
11 years of coding experience
5 years of employment as a software developer
Doctorate in Philosophy, Computer Science, Doctorate in Philosophy, Computer Science at Texas Tech University
Machine Learning Nanodegree, Computer Science, Machine Learning Nanodegree, Computer Science at Udacity
Hindi, Nepali, English