Ilesha Sawarkar
Machine Learning Engineer @ xMentium
About
As a Machine Learning Engineer specializing in Legal AI, I design and deploy enterprise scale systems that transform how organizations understand contracts and complex documents. With an M.S. in Artificial Intelligence from Northwestern University and more than 4 years of experience, I bring expertise in Generative AI, NLP, recommendation systems, and real time search, always with a focus on translating research into production systems that deliver measurable results. At xMentium, I work on AI driven legal intelligence, building pipelines that enable accurate document understanding, real time classification, and scalable search across large volumes of legal data. This work empowers legal teams to make faster, more informed decisions and highlights the potential of AI to reshape document heavy industries. Beyond Legal AI, I have applied machine learning across financial services including banking, insurance, trading, and finance, as well as healthcare. My projects have included fraud detection, anomaly detection, and recommender systems that improved efficiency, risk analysis, and customer engagement at scale. I am passionate about advancing applied AI from research to production, from self adapting ML pipelines to generative applications, and I enjoy collaborating with teams that are driving the next wave of AI innovation. 💼 Open to opportunities to apply Generative AI, Legal AI, and real time ML systems at scale to deliver measurable impact.
United States
Chicago
Computer Software
Named Entity Recognition (NER), Legal AI, Generative AI, Large Language Models (LLM), Amazon Bedrock, Fraud Detection, Multimodal LLM, High-Frequency Trading, Text Generation, Kubeflow, Google Cloud Platform (GCP), RAG, Speech Recognition, Oncology, Strategic Thinking, Llama 2, Software Development, Artificial Intelligence (AI), Prompt Engineering, GPT-4
Experience

Machine Learning Engineer
Mumbai, Maharashtra, India
Developed and implemented machine learning models to revolutionize fraud detection and improve claim accuracy, significantly reducing false positives and fraud-related losses, and enhancing overall efficiency in insurance claim processes. Identified Fraudulent Motor and Fraudulent Health Insurance claims using Graphical Methods.

AI Software Developer
Mumbai, Maharashtra, India
Developed ML solutions in domains including smart metering, trading, banking fraud detection, train fault prediction, and NLP-driven marketing. Enhanced detection accuracy, efficiency, and sales through advanced algorithms and neural networks.
Education
Ilesha Sawarkar's Contact Information
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