Sanika Dhayabar Patil
Ai Engineer @Humanitarians Ai
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WORK HISTORY
Ai Engineer @Humanitarians Ai
Designed and implemented end-to-end ML pipelines for fact-checking and information verification using Python, NLP, and transformer-based models, improving answer reliability across multi-stage reasoning workflows.Built RAG-style systems integrating external data sources and model outputs, enabling more accurate and verifiable AI responses for humanitarian use cases.Conducted model evaluation and error analysis, iterating on prompt strategies and retrieval logic to reduce hallucinations and improve response consistency.Collaborated with cross-functional teams to translate research prototypes into production-ready AI components, emphasizing scalability and maintainability.
EDUCATION
Northeastern University
Master of Science - MS, Computer Software Engineering
Savitribai Phule Pune University
Honours in Artificial Intelligence and Machine Learning, Artificial Intelligence
Savitribai Phule Pune University
Electronics and Communications Engineering
ABOUT SANIKA DHAYABAR PATIL
I am an Engineer focused on the intersection of Machine Learning and Software Architecture. I specialize in moving models out of notebooks and into production-grade environments.Technical Focus:AI/ML Engineering: End-to-end development of NLP and Deep Learning models using PyTorch and TensorFlow.Generative AI: Building LLM-backed applications, prompt engineering, and RAG (Retrieval-Augmented Generation) workflows.Software Engineering: Writing clean, modular Python; designing APIs; and managing the full SDLC for data-intensive applications.Data Science: Statistical modeling, feature engineering, and extracting actionable insights from complex datasets.The Engineering Standard: I don\'t just \"run experiments.\" I build for reliability, scalability, and performance. Whether it\'s optimizing a training pipeline or architecting a backend for an AI-driven product, my goal is to deliver code that works in the real world.Key Tools: Python, PyTorch, TensorFlow, SQL, AWS/GCP, Docker, Git.
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