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I am an AI/ML Engineer with 3+ years of experience building scalable machine learning systems, NLP models, and production-ready solutions deployed across cloud platforms. I excel in data preprocessing, model optimization, and MLOps, delivering high-impact AI capabilities that align with business and compliance needs. I collaborate with product, data science, risk, and compliance teams to translate complex problems into robust, governance-friendly AI solutions. I’m passionate about responsible AI, transparent model interpretation, and continuously improving systems through rigorous experimentation and cross-functional teamwork.…I am an AI/ML Engineer with 3+ years of experience building scalable machine learning systems, NLP models, and production-ready solutions deployed across cloud platforms. I excel in data preprocessing, model optimization, and MLOps, delivering high-impact AI capabilities that align with business and compliance needs. I collaborate with product, data science, risk, and compliance teams to translate complex problems into robust, governance-friendly AI solutions. I’m passionate about responsible AI, transparent model interpretation, and continuously improving systems through rigorous experimentation and cross-functional teamwork.

Lokesh Miriyala

Data Scientist, AI Engineer, Data Analyst, +2

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I am an AI/ML Engineer with 3+ years of experience building scalable machine learning systems, NLP models, and production-ready solutions deployed across cloud platforms. I excel in data preprocessing, model optimization, and MLOps, delivering high-impact AI capabilities that align with business and compliance needs. I collaborate with product, data science, risk, and compliance teams to translate complex problems into robust, governance-friendly AI solutions. I’m passionate about responsible AI, transparent model interpretation, and continuously improving systems through rigorous experimentation and cross-functional teamwork.…I am an AI/ML Engineer with 3+ years of experience building scalable machine learning systems, NLP models, and production-ready solutions deployed across cloud platforms. I excel in data preprocessing, model optimization, and MLOps, delivering high-impact AI capabilities that align with business and compliance needs. I collaborate with product, data science, risk, and compliance teams to translate complex problems into robust, governance-friendly AI solutions. I’m passionate about responsible AI, transparent model interpretation, and continuously improving systems through rigorous experimentation and cross-functional teamwork.

Available to hire

I am an AI/ML Engineer with 3+ years of experience building scalable machine learning systems, NLP models, and production-ready solutions deployed across cloud platforms. I excel in data preprocessing, model optimization, and MLOps, delivering high-impact AI capabilities that align with business and compliance needs.

I collaborate with product, data science, risk, and compliance teams to translate complex problems into robust, governance-friendly AI solutions. I’m passionate about responsible AI, transparent model interpretation, and continuously improving systems through rigorous experimentation and cross-functional teamwork.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI/ML Engineer at TD Bank

October 1, 2024 - Present

Developed an AI-driven personalized client engagement assistant that improved user interaction by 22% and increased conversion by 17%. Collaborated with product, data science, risk, and compliance to define requirements aligned with a customer-centric approach. Built scalable, privacy-conscious ETL pipelines using Apache Airflow, Python, and AWS Glue to process millions of client interactions, transaction events, and portfolio updates within TD's data governance framework. Engineered advanced customer-behavior features with spaCy and pandas to analyze client intent, generate session embeddings, and detect lifecycle patterns, reducing cold-start issues by 30%. Fine-tuned transformer-based NLP models (BERT, DeBERTa) on domain data; applied PEFT (LoRA) with Hugging Face Accelerate and DeepSpeed on AWS EC2 to optimize efficiency while maintaining policy compliance. Managed 500+ training experiments with MLflow to create a reproducible model registry for validation and auditing. Containeriz

AI/ML Engineer at The Cigna Group

January 1, 2021 - July 1, 2023

Directed the development of Claims Analytics Platform automating classification, anomaly detection, and fraud flagging; improved processing speed by 18% and reduced fraudulent claims by 12%. Collaborated with Compliance, Claims, and Fraud teams during requirements gathering. Built ETL pipelines on Azure Data Factory using Python, SQL, and PySpark to preprocess structured claims data, billing codes, and unstructured physician notes, ensuring high-quality, labeled datasets for model training. Developed classification and anomaly detection models (scikit-learn, XGBoost, autoencoders) achieving 87% F1-score in classification and 92% recall in fraud detection. Applied SHAP for explainability, and extracted clinical insights from unstructured physician notes using BERT and TF-IDF to support faster decision-making. Containerized models with Docker and deployed on Kubernetes with REST APIs for real-time inference; scheduled monthly retraining with Apache Airflow and monitored drift via Prometh