I am a Machine Learning Engineer with 5+ years of experience delivering production intelligence systems across financial services, banking, technology consulting, and product environments. I specialize in predictive algorithms, transformer-based language models, and enterprise AI capabilities that elevate risk intelligence, reinforce regulatory alignment, and optimize operational strategy. I thrive on distributed compute frameworks and cloud-native machine learning infrastructure, transforming complex data into decision-grade insights for cross-functional stakeholders. In my roles at Citigroup and Infinite Infolab, I designed and deployed scalable ML solutions, advanced NLP, and MLOps workflows that improved feature readiness, model governance, and deployment speed. I enjoy collaborating with data engineers, product teams, and cloud infrastructure specialists to turn business challenges into robust, governance-driven AI systems.

YASHASWI PATKI

I am a Machine Learning Engineer with 5+ years of experience delivering production intelligence systems across financial services, banking, technology consulting, and product environments. I specialize in predictive algorithms, transformer-based language models, and enterprise AI capabilities that elevate risk intelligence, reinforce regulatory alignment, and optimize operational strategy. I thrive on distributed compute frameworks and cloud-native machine learning infrastructure, transforming complex data into decision-grade insights for cross-functional stakeholders. In my roles at Citigroup and Infinite Infolab, I designed and deployed scalable ML solutions, advanced NLP, and MLOps workflows that improved feature readiness, model governance, and deployment speed. I enjoy collaborating with data engineers, product teams, and cloud infrastructure specialists to turn business challenges into robust, governance-driven AI systems.

Available to hire

I am a Machine Learning Engineer with 5+ years of experience delivering production intelligence systems across financial services, banking, technology consulting, and product environments. I specialize in predictive algorithms, transformer-based language models, and enterprise AI capabilities that elevate risk intelligence, reinforce regulatory alignment, and optimize operational strategy. I thrive on distributed compute frameworks and cloud-native machine learning infrastructure, transforming complex data into decision-grade insights for cross-functional stakeholders.

In my roles at Citigroup and Infinite Infolab, I designed and deployed scalable ML solutions, advanced NLP, and MLOps workflows that improved feature readiness, model governance, and deployment speed. I enjoy collaborating with data engineers, product teams, and cloud infrastructure specialists to turn business challenges into robust, governance-driven AI systems.

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Experience Level

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Work Experience

Machine Learning Engineer at Citigroup
January 1, 2025 - Present
Engineered production-grade LLM-powered RAG pipelines using Python, LangChain (where applicable), LangGraph, and Spark to enable semantic search across enterprise knowledge bases and reduce investigation turnaround time for risk and compliance teams. Built distributed feature pipelines on Hadoop, HBase, and Databricks to operationalize structured and unstructured data for regulated model development while improving feature readiness and strengthening lineage controls. Implemented regression and ensemble models with PyTorch and XGBoost to forecast credit and liquidity patterns, increasing prediction accuracy and enabling earlier risk identification across lending workflows. Productionized real-time anomaly detection services through containerized deployments on Docker and Kubernetes with REST APIs, supporting high-volume transaction monitoring and improving fraud detection precision. Established scalable MLOps workflows using MLflow and Airflow, integrating automated drift detection tha
Machine Learning Engineer at Infinite Infolab
August 1, 2019 - August 1, 2023
Designed end to end predictive analytics workflows using Python, Scikit-learn, and Pandas, developing classification models that improved customer conversion forecasting accuracy by 23% across digital commerce datasets. Built scalable batch processing pipelines on Azure Data Factory and Azure Databricks, transforming 2.8B+ historical records into curated training datasets while reducing data preparation time by 38%. Engineered feature rich training frameworks with PySpark on distributed clusters, optimizing feature selection and elevating model recall by 18% for churn propensity and demand forecasting use cases. Fine tuned transformer based NLP models with BERT and spaCy to automate document categorization, increasing tagging precision by 26% and significantly lowering manual review effort for operations teams. Deployed containerized inference services using Docker and scheduled retraining pipelines through Apache Airflow, stabilizing model performance and cutting production scoring la
Machine Learning Engineer at Infinite Infolab, India
August 1, 2019 - August 1, 2023
Designed end-to-end predictive analytics workflows using Python, Scikit-Learn, and Pandas, developing classification models that improved customer conversion forecasting accuracy across digital commerce datasets. Built scalable batch processing pipelines on Azure Data Factory and Azure Databricks, transforming billions of historical records into curated training datasets while reducing data preparation time. Engineered feature-rich training frameworks with PySpark on distributed clusters, optimizing feature selection and elevating model recall for churn propensity and demand forecasting use cases. Fine-tuned transformer-based NLP models with BERT and spaCy to automate document categorization, increasing tagging precision and reducing manual review effort. Deployed containerized inference services with Docker and scheduled retraining pipelines through Apache Airflow, stabilizing model performance and reducing production scoring latency. Partnered with data engineering, product analytics

Education

Master of Science in Artificial Intelligence at Yeshiva University
January 11, 2030 - May 1, 2025
Bachelor in Information Technology at Amravati University, India
January 11, 2030 - November 1, 2020
Master of Science in Artificial Intelligence at Yeshiva University
January 11, 2030 - May 1, 2025
Bachelor in Information Technology at Amravati University, India
January 11, 2030 - November 1, 2020

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Software & Internet, Professional Services