Looking for a job

Parashar Dhakal

@parashardhakal

Message

Senior AI/ML Engineer at Chase building agentic workflows and multimodal fraud detection.

United States

Message

What I'm looking for

I'm open to Senior AI/ML Engineer, Generative AI Engineer, and Data Scientist roles.

At Chase, I lead Generative AI initiatives for financial document analysis and build agentic workflows for operational decision-making. I also work on multimodal fraud detection, combining computer vision and NLP signals.

I develop predictive models with portfolio managers and build low-latency personalization models that recommend products based on changes in customer payment behavior. My work includes delivering these systems through API-driven AI microservices.

At Tesla, I engineered predictive maintenance and anomaly detection models for operational datasets and built a Python tool that detects data schemas across file formats. I also developed scalable ETL pipelines to support reliable production ML.

At Grote Industries, I developed forecasting, classification, and NLP models for manufacturing analytics, and helped move the organization toward predictive analytics. I hold an MS in Electrical and Computer Engineering from the University of Toledo and an Applied Machine Learning Specialization from the University of Michigan.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

Chase

Jul 2024 - Present (2 years 3 months)

Lead Generative AI initiatives for financial document analysis, curating domain data, fine-tuning models, and building evaluation frameworks. Design agentic workflows with LangChain, LangGraph, Amazon Bedrock, and CrewAI to improve operational efficiency.

Equipment Data Engineer (Machine Learning & Analytics)

Tesla

Oct 2022 - Jun 2024 (1 year 8 months)

Engineered predictive machine learning and anomaly detection models on large-scale operational datasets to identify equipment failure risks and reduce critical downtime. Optimized cloud ML infrastructure on AWS SageMaker and architected scalable ETL pipelines.

Python Pandas NumPy scikit learn XGBoost Spark PySpark SQL ETL Time series Forecasting Anomaly Detection Deep Learning AWS Sagemaker AWS S3 Jupyter Notebooks Git Jira

Senior Controls Data Engineer (Predictive Analytics & Machine Learning)

Grote Industries

Feb 2021 - Oct 2022 (1 year 8 months)

Led the organization's shift toward predictive analytics by partnering with operations stakeholders to identify reliability pain points and translate findings into machine learning initiatives. Designed forecasting, regression, and anomaly-detection models to support enterprise decision-making.

Python SQL scikit learn NLTK Pandas NumPy Oracle Microsoft SQL Server Azure Google Cloud Platform Tableau Sentiment Analysis Topic modeling Text Classification Forecasting Anomaly Detection

Controls Data Engineer (Predictive Analytics & Machine Learning)

Grote Industries

Aug 2018 - Jan 2021 (2 years 5 months)

Developed predictive modeling and machine learning solutions that moved enterprise analytics from static reporting toward forward-looking insights. Built regression, classification, forecasting, and ensemble-learning models with Python and scikit-learn.