rishi f
@rishif
Machine Learning Engineer building production RAG, MLOps, and scalable data pipelines to drive measurable business impact.
United StatesWhat I'm looking for
I’m a Machine Learning Engineer who builds end-to-end production systems—from ingestion to deployment and monitoring—grounded in measurable outcomes. I focus on practical NLP/ML solutions like citation-grounded RAG for high-stakes workflows.
At William Blair, I built a RAG platform for investment due diligence on Azure, including an ingestion pipeline that auto-classifies, redacts PII, and vector-indexes multi-format documents. I also deliver expert routing when documents lack the answer via a Streamlit chat UI.
I design and deploy enterprise MLOps pipelines integrating Databricks, Azure DevOps, and GitHub to automate model training, deployment, and monitoring. I migrated legacy machine learning workloads from DataBricks to Azure Machine Learning Platform, achieving approximately 40% year-over-year cost reduction.
Previously, I’ve delivered strong production results across segmentation, computer vision, and NLP—like 98% precision address matching and large-scale RoBERTa-based NER/search. I’ve also worked on research topics such as pose estimation with transfer learning (DeepLabCut) and Physics Informed Neural Networks for differential equations.
Experience
Work history, roles, and key accomplishments
Built a RAG platform for investment due diligence on Azure, including document ingestion with auto-classification, PII redaction, and vector indexing. Designed enterprise MLOps workflows and deployed scalable ML pipelines using Azure Synapse and Azure Machine Learning, including migrating legacy workloads and reducing costs.
Performed customer segmentation using unsupervised learning (clustering) for 3Rivers Insurance as part of The Data Mine project. Researched animal movement pose estimation using transfer learning with DeepLabCut (PyTorch) and applied physics-informed neural networks (PINNs) to solve diffusion differential equations.
Machine Learning Engineer
Crimecheck.Ai
Jul 2021 - Jul 2022 (1 year)
Developed an address matching model using spaCy, achieving 98% precision, and deployed it to production using Docker. Fine-tuned a RoBERTa model for NER with TensorFlow and supported legal-domain search applications, including large-scale data processing and active-learning dataset generation with PySpark/Databricks.
Data Scientist
Celebal Technologies
Jan 2021 - Jul 2021 (6 months)
Fine-tuned Detectron-2 for image recognition and object detection on a dataset of 100,000+ documents using Azure. Applied computer vision to extract invoice details from old PDF files to streamline retrieval of tabular data.
Researched natural language processing multi-domain dialog state tracking under constrained environments for low-resource languages to build a Hindi conversation corpus for a chatbot. Examined, organized, translated, and maintained English-to-Hindi conversational dialogues using Python.
Education
Degrees, certifications, and relevant coursework
Purdue University
Master of Science in Computer Science, Computer Science
Grade: CGPA: 4.0
Master’s in Computer Science at Purdue University with a CGPA of 4.0.
Savitribai Phule Pune University
Bachelor of Science in Computer Science, Computer Science
Grade: CGPA: 3.84
Bachelor’s in Computer Science from Pune University (now Savitribai Phule Pune University) with a CGPA of 3.84.
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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