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# Harathi R.

**Headline:** AI/ML Engineer
**Profession:** AI/ML Engineer
**Location:** Murrieta, California, United States

## About

Harathi R. is an AI/ML Engineer at Farmers & Merchants Bank of Long Beach, where she develops predictive and natural-language-processing models and integrates machine learning, NLP, and LLM capabilities with enterprise applications. Her strengths include model development and evaluation, algorithm comparison, cross-validation, hyperparameter tuning, performance optimization, and rigorous validation against expected outcomes. Harathi works with Python, PyTorch, XGBoost, Pandas, NumPy, FastAPI, and REST APIs, with experience spanning traditional machine learning and AI applications, including bank fraud-detection model ownership. She is also focused on protecting customer data in her work. Previously, Harathi built distributed ETL and data-processing workflows for production machine-learning workloads at TruLite Health using SQL, PySpark, Azure Data Factory, and Azure Databricks. At Dimensional Fund Advisors, she developed classification and predictive models for insurance analytics and business prediction using Scikit-learn and Random Forest. Her earlier Python-development work included applications, scripts, reusable components, and modules for data ingestion, transformation, validation, and enterprise integration. Harathi has also collaborated with cross-functional teams to align data outputs with analytical needs, improving trial efficiency and compliance through reusable macros and rigorous quality-control processes.

## Services

- Machine Learning
- Data Analytics
- Data Collection

## Highlights

- Creates predictive and NLP models at Farmers & Merchants Bank of Long Beach using Python, PyTorch, XGBoost, Pandas, and NumPy.
- Optimizes XGBoost and PyTorch models through cross-validation, model evaluation, hyperparameter tuning, and performance-optimization techniques.
- Engineers FastAPI services and REST APIs that integrate ML, NLP, and LLM capabilities with downstream enterprise applications.
- Has work involving ownership of a bank fraud-detection model.
- Builds distributed ETL and data-processing workflows for machine-learning workloads using SQL, PySpark, Azure Data Factory, and Azure Databricks at TruLite Health.
- Processes large-scale datasets with Apache Spark, PySpark, Azure Data Factory, and Azure Databricks for production ML pipelines.
- Developed classification and predictive models for insurance analytics and business prediction at Dimensional Fund Advisors using Scikit-learn and Random Forest.
- Developed Python applications and scripts supporting business workflows, data processing, and application requirements at 9series in Seattle.
- Built Python modules for data ingestion, transformation, validation, and integration with enterprise applications at 9series.
- Created reusable Python components and utilities to streamline application development and recurring processing tasks.
- Collaborated with cross-functional teams to align data outputs with analytical needs, improving trial efficiency and compliance.
- Authored reusable macros and conducted rigorous quality-control processes.
- Earned a Bachelor of Technology in Computer Engineering from Auroras Engineering College.

## Experience

- **AI/ML Engineer at Farmers & Merchants Bank of Long Beach** (2025-08-01–present) — Created predictive and NLP models using Python, PyTorch, XGBoost, Pandas, and NumPy for traditional machine learning and AI applications. Optimized XGBoost and PyTorch models through cross-validation, model evaluation, hyperparameter tuning, and performance optimization techniques. Engineered FastAPI services and REST APIs to integrate ML, NLP, and LLM capabilities with downstream enterprise applications.
- **Machine Learning Engineer at TruLite Health,** (2023-12-01–2025-07-01) — Built distributed ETL and data-processing workflows using SQL, PySpark, Azure Data Factory, and Azure Databricks for machine learning workloads. Processed large-scale datasets with Apache Spark, PySpark, Azure Data Factory, and Azure Databricks for production ML pipelines.
- **Data Scientist at Dimensional Fund Advisors** (2022-06-01–2023-11-01) — Developed classification and predictive models using Scikit-learn and Random Forest for insurance analytics and business prediction.
- **Python Developer at 9series, Seattle,** (2018-06-01–2022-05-01) — Developed Python applications and scripts to support business workflows, data processing, and application requirements. Built Python-based modules for data ingestion, transformation, validation, and integration with enterprise applications. Created reusable Python components and utilities to streamline application development and recurring processing tasks.

## Education

- Bachelor of Technology, Computer Engineering — Auroras Engineering college

## FAQ

### What does Harathi do?

Harathi is an AI/ML Engineer at Farmers & Merchants Bank of Long Beach. She creates predictive and NLP models and builds services that connect ML, NLP, and LLM capabilities to downstream enterprise applications.

### What are Harathi's core AI/ML strengths?

Harathi develops traditional machine-learning and AI applications using Python, PyTorch, XGBoost, Pandas, and NumPy. Her work includes predictive modeling, natural-language processing, model evaluation, and enterprise integration.

### What has Harathi accomplished at Farmers & Merchants Bank of Long Beach?

At Farmers & Merchants Bank of Long Beach, Harathi created predictive and NLP models, including work involving ownership of a bank fraud-detection model. She optimized XGBoost and PyTorch models through cross-validation, evaluation, hyperparameter tuning, and performance-optimization techniques.

### How does Harathi integrate AI capabilities with enterprise systems?

Harathi engineers FastAPI services and REST APIs to integrate machine-learning, NLP, and LLM capabilities with downstream enterprise applications.

### How does Harathi approach model testing and optimization?

Harathi validates models against expectations, compares algorithms to identify the best approach, and applies cross-validation, evaluation, hyperparameter tuning, and performance optimization to improve model results.

### How does Harathi approach customer data protection?

Protecting customer data is an important driver of Harathi's work, particularly in her banking-focused AI/ML role.

### What did Harathi do at TruLite Health?

At TruLite Health, Harathi built distributed ETL and data-processing workflows for machine-learning workloads using SQL, PySpark, Azure Data Factory, and Azure Databricks. She also processed large-scale datasets with Apache Spark and these Azure-based tools for production ML pipelines.

### What did Harathi do at Dimensional Fund Advisors?

At Dimensional Fund Advisors, Harathi developed classification and predictive models for insurance analytics and business prediction using Scikit-learn and Random Forest.

### What did Harathi do at 9series?

At 9series in Seattle, Harathi developed Python applications and scripts for business workflows, data processing, and application requirements. She built modules for data ingestion, transformation, validation, and enterprise-application integration, along with reusable components and utilities for recurring processing tasks.

### What experience does Harathi have with cross-functional data work and quality control?

Harathi has collaborated with cross-functional teams to align data outputs with analytical needs. She authored reusable macros and conducted rigorous quality-control processes that supported improved trial efficiency and compliance.

### What is Harathi's educational background?

Harathi holds a Bachelor of Technology in Computer Engineering from Auroras Engineering College.

### What skills does Harathi list?

Harathi's listed skills include machine learning, data analytics, and data collection.

## Links

- LinkedIn: https://www.linkedin.com/in/harathi-r-1745721ba

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