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I am a Senior Generative AI Engineer with 9+ years of experience delivering AI/ML and data-driven solutions across Banking, Healthcare, Media, Mobility, and Logistics. My recent focus is on building LLM-powered applications and intelligent automation systems to drive better decision-making and customer experiences. I thrive in Agile environments with end-to-end ownership of AI/ML and GenAI solutions, collaborating with cross-functional teams to deliver scalable, production-ready systems. I have a strong foundation in Python, SQL, Spark, and transformer-based models, and hands-on experience in prompt engineering, embeddings, semantic search, retrieval-augmented generation, MLOps, and real-time data processing.…I am a Senior Generative AI Engineer with 9+ years of experience delivering AI/ML and data-driven solutions across Banking, Healthcare, Media, Mobility, and Logistics. My recent focus is on building LLM-powered applications and intelligent automation systems to drive better decision-making and customer experiences. I thrive in Agile environments with end-to-end ownership of AI/ML and GenAI solutions, collaborating with cross-functional teams to deliver scalable, production-ready systems. I have a strong foundation in Python, SQL, Spark, and transformer-based models, and hands-on experience in prompt engineering, embeddings, semantic search, retrieval-augmented generation, MLOps, and real-time data processing.

Sneha Kanchukatla

AI Developer, AI Engineer, Data Scientist, +2

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I am a Senior Generative AI Engineer with 9+ years of experience delivering AI/ML and data-driven solutions across Banking, Healthcare, Media, Mobility, and Logistics. My recent focus is on building LLM-powered applications and intelligent automation systems to drive better decision-making and customer experiences. I thrive in Agile environments with end-to-end ownership of AI/ML and GenAI solutions, collaborating with cross-functional teams to deliver scalable, production-ready systems. I have a strong foundation in Python, SQL, Spark, and transformer-based models, and hands-on experience in prompt engineering, embeddings, semantic search, retrieval-augmented generation, MLOps, and real-time data processing.…I am a Senior Generative AI Engineer with 9+ years of experience delivering AI/ML and data-driven solutions across Banking, Healthcare, Media, Mobility, and Logistics. My recent focus is on building LLM-powered applications and intelligent automation systems to drive better decision-making and customer experiences. I thrive in Agile environments with end-to-end ownership of AI/ML and GenAI solutions, collaborating with cross-functional teams to deliver scalable, production-ready systems. I have a strong foundation in Python, SQL, Spark, and transformer-based models, and hands-on experience in prompt engineering, embeddings, semantic search, retrieval-augmented generation, MLOps, and real-time data processing.

Available to hire

I am a Senior Generative AI Engineer with 9+ years of experience delivering AI/ML and data-driven solutions across Banking, Healthcare, Media, Mobility, and Logistics. My recent focus is on building LLM-powered applications and intelligent automation systems to drive better decision-making and customer experiences.

I thrive in Agile environments with end-to-end ownership of AI/ML and GenAI solutions, collaborating with cross-functional teams to deliver scalable, production-ready systems. I have a strong foundation in Python, SQL, Spark, and transformer-based models, and hands-on experience in prompt engineering, embeddings, semantic search, retrieval-augmented generation, MLOps, and real-time data processing.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior Gen AI/ML Engineer at Bank of America

June 1, 2025 - Present

Designed and implemented LLM-driven workflows for document intelligence and compliance automation, leveraging prompt-based pipelines and embedding-based retrieval to process, analyze, and extract insights from enterprise documents for decision support. Integrated LLM-based document understanding using Transformer models and retrieval-augmented generation to summarize KYC and compliance documents, reducing manual review and enhancing analyst productivity. Built a loan pricing optimization platform using TensorFlow and reinforcement learning to simulate borrower behavior under varying market conditions, enabling data-driven rate recommendations balanced by profitability and risk. Implemented a real-time regulatory compliance monitoring solution using DeBERTa and SpaCy on Azure Databricks to automate extraction and validation of policy rules from documents and logs. Engineered a CLV prediction framework using CatBoost for targeted marketing. Developed scalable time-series forecasting pipe

Artificial Intelligence Engineer at Walgreens Boots Alliance

April 1, 2023 - May 1, 2025

Developed patient risk analytics and adherence interventions by building real-time risk scoring pipelines and predictive models. Implemented patient adherence predictor from prescription histories. Built real-time risk scoring pipelines using Spark Structured Streaming on Azure Databricks with FHIR/HL7v3 data. Created demand forecasting models (Prophet, XGBoost) for drug inventory optimization. Built NLP pipelines using Spark NLP and BioBERT to extract clinical entities, enabling improved analytics and reporting. Executed patient segmentation, drug interaction risk detection via graph-based relationships, and readmission risk prediction. Automated ETL with Azure Data Factory and SQL, and deployed models as microservices on AKS/Azure ML. Developed SHAP/LIME explainability and interactive dashboards with Power BI.

ML Engineer at Netflix

January 1, 2022 - March 1, 2023

Contributed to large-scale personalization and recommendation systems by building a personalized content recommender using PyTorch with deep learning embeddings. Built real-time streaming pipelines with Apache Beam, Pub/Sub, and BigQuery for near-real-time ranking. Implemented user segmentation models (Scikit-learn) and low-latency inference via Vertex AI Endpoints and FastAPI. Established A/B testing frameworks and experimentation pipelines, and developed ensemble models combining collaborative and content-based filtering with neural embeddings. Created feature pipelines with dbt/SQL/BigQuery and NLP-based content similarity scoring. Implemented model monitoring dashboards (Grafana/Prometheus) and optimized training/processing workflows for scale. Integrated real-time user feedback signals to continuously improve personalization.

Data Scientist at Uber

February 1, 2019 - December 1, 2021

Drove real-time ML and optimization for ride demand forecasting, pricing, and fleet management. Built real-time ETA prediction using PyTorch and XGBoost, and dynamic surge pricing with LightGBM and reinforcement learning. Designed large-scale streaming pipelines with Kafka and Spark Structured Streaming for live ride events. Implemented Feast feature stores for consistent feature generation, developed Prophet/LSTM-based demand forecasting, and built anomaly detection for fraud and irregular patterns. Created predictive maintenance models, automated ETL with Airflow, and deployed models as serverless functions (AWS Lambda) and in EKS. Developed Looker dashboards for driver performance, demand trends, and KPI visualization.

Data Engineer at Edvensoft

August 1, 2016 - June 1, 2018

Contributed to data-driven analytics for logistics and delivery optimization. Performed exploratory data analysis with Pandas/NumPy, developed ETA prediction models (Scikit-learn), built customer segmentation (KMeans), and designed time-series demand forecasting. Wrote complex SQL queries for reporting and analytics, built Tableau dashboards, automated ETL with Airflow, implemented data preprocessing pipelines, and collaborated with operations to translate data insights into actionable improvements.