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I am an AI/ML Engineer with over 5 years of experience focusing on natural language processing, information extraction, and integrating structured and unstructured data to generate actionable business insights. I specialize in building intelligent platforms using advanced AI techniques such as Retrieval-Augmented Generation and knowledge graphs, alongside developing scalable ML pipelines and real-time inference systems to improve decision-making and operational efficiency. My expertise also includes deploying AI models in cloud environments, optimizing model performance with hyperparameter tuning, and ensuring explainability and fairness in AI systems. I thrive in collaborative environments where I can apply my skills in NLP, data engineering, and cloud infrastructure to drive impactful AI solutions across sectors including financial services, aviation, retail, and healthcare.…I am an AI/ML Engineer with over 5 years of experience focusing on natural language processing, information extraction, and integrating structured and unstructured data to generate actionable business insights. I specialize in building intelligent platforms using advanced AI techniques such as Retrieval-Augmented Generation and knowledge graphs, alongside developing scalable ML pipelines and real-time inference systems to improve decision-making and operational efficiency. My expertise also includes deploying AI models in cloud environments, optimizing model performance with hyperparameter tuning, and ensuring explainability and fairness in AI systems. I thrive in collaborative environments where I can apply my skills in NLP, data engineering, and cloud infrastructure to drive impactful AI solutions across sectors including financial services, aviation, retail, and healthcare.

Goutham Reddy Gunnala

AI Engineer, Data Scientist, Developer, +1

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I am an AI/ML Engineer with over 5 years of experience focusing on natural language processing, information extraction, and integrating structured and unstructured data to generate actionable business insights. I specialize in building intelligent platforms using advanced AI techniques such as Retrieval-Augmented Generation and knowledge graphs, alongside developing scalable ML pipelines and real-time inference systems to improve decision-making and operational efficiency. My expertise also includes deploying AI models in cloud environments, optimizing model performance with hyperparameter tuning, and ensuring explainability and fairness in AI systems. I thrive in collaborative environments where I can apply my skills in NLP, data engineering, and cloud infrastructure to drive impactful AI solutions across sectors including financial services, aviation, retail, and healthcare.…I am an AI/ML Engineer with over 5 years of experience focusing on natural language processing, information extraction, and integrating structured and unstructured data to generate actionable business insights. I specialize in building intelligent platforms using advanced AI techniques such as Retrieval-Augmented Generation and knowledge graphs, alongside developing scalable ML pipelines and real-time inference systems to improve decision-making and operational efficiency. My expertise also includes deploying AI models in cloud environments, optimizing model performance with hyperparameter tuning, and ensuring explainability and fairness in AI systems. I thrive in collaborative environments where I can apply my skills in NLP, data engineering, and cloud infrastructure to drive impactful AI solutions across sectors including financial services, aviation, retail, and healthcare.

Available to hire

I am an AI/ML Engineer with over 5 years of experience focusing on natural language processing, information extraction, and integrating structured and unstructured data to generate actionable business insights. I specialize in building intelligent platforms using advanced AI techniques such as Retrieval-Augmented Generation and knowledge graphs, alongside developing scalable ML pipelines and real-time inference systems to improve decision-making and operational efficiency.

My expertise also includes deploying AI models in cloud environments, optimizing model performance with hyperparameter tuning, and ensuring explainability and fairness in AI systems. I thrive in collaborative environments where I can apply my skills in NLP, data engineering, and cloud infrastructure to drive impactful AI solutions across sectors including financial services, aviation, retail, and healthcare.

Skills

Experience Level

Expert

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AI Collection (Video)

Expert

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Expert

AI Collection (Audio)

Expert

Expert

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Expert

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Language

English

Fluent

Work Experience

Generative AI Engineer at Fiserv, Inc

October 1, 2024 - Present

Led development of an intelligence platform integrating structured payment data with unstructured notes using LightRAG, LangChain and Vertex AI to enhance decision-making. Implemented Retrieval-Augmented Generation pipelines using FAISS, OpenAI, and Neo4j for improved contextual insight extraction. Developed fraud detection models with TensorFlow and AutoML to proactively block high-risk payments. Created BERT and T5 summarization models to reduce legal and compliance document review time. Deployed scalable, secured ML inference APIs on Docker and GKE. Automated ML pipelines with Vertex AI and Kubeflow to increase stability and efficiency. Fine-tuned GPT-3.5 and PaLM 2 models for domain classification and summarization. Built explainability dashboards with SHAP and LIME for audit transparency. Engineered real-time fraud detection pipelines using Apache Beam and Pub/Sub for millisecond response times. Strong emphasis on integrating structured and unstructured data for comprehensive enti

Machine Learning Engineer at Textron Aviation

September 30, 2024 - August 6, 2025

Developed predictive maintenance models using XGBoost and LSTM for aircraft telemetry data, improving uptime by 35%. Built and deployed ML pipelines on GCP for real-time IoT telemetry with streaming latency under five seconds. Integrated Keras models into operational dashboards for flight and maintenance teams. Collaborated with data engineers to transform maintenance records using Spark and Pandas. Used SHAP and LIME for model interpretability and engineering trust. Created anomaly detection models with Isolation Forest and deep autoencoders for early equipment failure alerts. Designed Streamlit and Power BI dashboards to present risk scores and insights. Fine-tuned CNNs for aircraft part classification with above 92% accuracy. Applied clustering methods to identify mechanical failure patterns, informing servicing strategies. Developed NER models to extract part numbers from maintenance logs demonstrating NLP expertise.

Data Scientist at Lowe’s

June 30, 2023 - August 6, 2025

Built customer segmentation using clustering techniques that enhanced marketing personalization and campaign ROI. Developed recommendation engines boosting cross-selling on e-commerce platforms. Created churn propensity models using logistic regression and LightGBM, reducing customer attrition. Engineered scalable ETL workflows with Apache Airflow and PySpark for large transactional data. Deployed REST APIs with Flask for real-time inference integrated into customer tools. Conducted sentiment analysis and topic modeling on product reviews to prioritize improvements. Developed pricing optimization models to increase revenue without sacrificing competitiveness. Conducted A/B testing to validate model impacts guiding product decisions. Visualized KPIs and model results via Tableau and Power BI for stakeholder insights, showcasing ability to translate complex data for actionable business insights.

Data Scientist at Siemens

January 31, 2021 - August 6, 2025

Migrated dashboards to cloud platforms to enhance data access and collaboration for biomedical researchers. Managed Kubernetes clusters to optimize container orchestration for biomedical data pipelines. Transitioned legacy applications to AWS EKS improving uptime and scalability. Handled genomic and clinical datasets in Cassandra and MongoDB, improving query performance by 40%. Built Snowflake integrations consolidating biomedical data, supporting cross-functional research analytics. Increased deployment speed by 35% through Jenkins CI/CD automation. Automated ETL workflows reducing data latency and improving quality using Apache Airflow. Streamlined biomedical data workflows for real-time updates. Scaled ML services via Docker-based microservices on Kubernetes, ensuring high availability for AI applications. Demonstrated familiarity with RAG frameworks supporting biomedical knowledge enhancement.

Generative AI Engineer at Fiserv, Inc

October 1, 2024 - Present

Led development of an intelligence platform integrating structured payment data with unstructured notes using LightRAG, LangChain, and Vertex AI to enhance decision-making. Implemented RAG pipelines leveraging FAISS, OpenAI APIs, and Neo4j knowledge graphs for improved contextual insights. Developed fraud detection models with TensorFlow and AutoML for proactive anomaly blocking, and fine-tuned domain-specific GPT-3.5 and PaLM 2 models for classification and summarization. Automated ML pipelines with Vertex AI and Kubeflow, deployed scalable ML inference services on GKE, and created explainability dashboards with SHAP and LIME. Delivered real-time fraud detection pipelines with Apache Beam and Pub/Sub for sub-second response.

Machine Learning Engineer at Textron Aviation

September 30, 2024 - August 11, 2025

Built predictive maintenance models using XGBoost and LSTM on aircraft telemetry to increase uptime by 35%. Developed GCP ML pipelines processing real-time IoT data with under 5-second latency. Deployed Keras models to production integrated with operational dashboards. Extracted and transformed maintenance records using Spark and Pandas. Applied explainability tools SHAP and LIME for model trust and error analysis. Created anomaly detection models with Isolation Forest and deep autoencoders. Led interactive dashboard creation using Streamlit and Power BI. Fine-tuned CNNs for aircraft part classification with 92%+ accuracy. Applied clustering to identify failure patterns, and developed NER models extracting part numbers from maintenance logs.

Data Scientist at Lowe’s

June 30, 2023 - August 11, 2025

Created customer segmentation and churn models using clustering and LightGBM to improve marketing and retention. Developed recommendation engines with collaborative filtering and neural matrix factorization. Built scalable ETL workflows using Airflow and PySpark to process large datasets daily. Deployed real-time inference REST APIs with Flask supporting personalization. Engineered sentiment analysis and topic modeling pipelines with spaCy and Gensim for product reviews. Developed pricing optimization models using XGBoost. Conducted A/B tests and visualized KPIs with Tableau and Power BI for business insights.

Data Scientist at Siemens

January 31, 2021 - August 11, 2025

Migrated on-prem dashboards to cloud improving data access for biomedical research. Managed Kubernetes clusters and transitioned legacy apps to AWS EKS achieving 98% uptime and cost efficiency. Handled genomic and clinical datasets in Cassandra and MongoDB improving retrieval speeds by 40%. Built Snowflake integrations consolidating biomedical data for real-time insights. Automated ETL pipelines with Apache Airflow reducing latency and improving quality. Scaled ML services using Docker microservices on Kubernetes, supporting research-grade AI applications.

Generative AI Engineer at Fiserv, Inc

October 1, 2024 - Present

Led the development and integration of AI-driven solutions, including GPT-4-powered chatbots using LangChain and Vertex AI, significantly reducing support wait times and improving resolution efficiency. Developed RAG pipelines with FAISS and OpenAI APIs to enhance contextual response generation, reducing manual search times. Built fraud detection and summarization models using TensorFlow, AutoML, BERT, and T5 to streamline compliance and onboarding processes. Deployed scalable ML inference services with FastAPI on Docker and GKE. Automated ML pipelines with Vertex AI and Kubeflow. Fine-tuned GPT-3.5 and PaLM 2 models for domain-specific uses. Integrated voice agent technologies (Twilio, ElevenLabs) and automation tools (n8n, Zapier) to improve customer interaction and workflow efficiency. Presented complex AI concepts effectively to clients.

Machine Learning Engineer at Textron Aviation

September 30, 2024 - August 19, 2025

Built predictive maintenance models with XGBoost and LSTM on aircraft telemetry data to improve uptime and reduce failure risk. Developed GCP ML pipelines processing real-time IoT telemetry with low latency. Deployed production Keras models integrated into operational dashboards for decision support. Collaborated with data engineers on data transformation using Spark and Pandas. Analyzed model errors with SHAP and LIME for interpretability. Built anomaly detection using Isolation Forest and autoencoders alerting teams preemptively. Created dashboards with Streamlit and Power BI. Integrated voice agents and automation tools to enhance user experience and workflow efficiency. Communicated project outcomes clearly to stakeholders.

Data Scientist at Lowe’s

June 30, 2023 - August 19, 2025

Developed customer segmentation models to enhance marketing personalization and campaign ROI. Built recommendation engines using collaborative filtering and neural matrix factorization to increase cross-sell opportunities. Created churn propensity models with logistic regression and LightGBM to reduce attrition. Engineered scalable ETL workflows via Apache Airflow and PySpark. Deployed Flask-based REST APIs for real-time inference integrated into customer-facing tools. Implemented sentiment analysis and topic modeling pipelines to aid product management. Developed pricing optimization models improving revenue without losing competitive edge. Employed prompt engineering to optimize AI models and integrated automation platforms to streamline workflows. Presented technical insights to stakeholders.

Data Scientist at Siemens

January 31, 2021 - August 19, 2025

Migrated on-premises dashboards to cloud platforms to enhance real-time biomedical insights. Managed Kubernetes clusters and transitioned legacy applications to AWS EKS improving uptime and scalability. Handled genomic and clinical data using Cassandra and MongoDB enhancing data retrieval. Integrated biomedical datasets into Snowflake for cross-functional analytics. Accelerated deployment processes with Jenkins CI/CD pipelines. Automated ETL pipelines via Apache Airflow reducing latency and ensuring data quality. Developed voice-based research data interfaces via Twilio and ElevenLabs. Utilized automation tools to optimize data processing and model deployment. Presented findings clearly to diverse stakeholders.

Generative AI Engineer at Fiserv, Inc

October 1, 2024 - Present

Led the development of an intelligence platform combining structured payment data with unstructured notes using LightRAG and LangChain for enhanced decision-making. Implemented RAG pipelines with FAISS and OpenAI APIs linking financial document insights to Neo4j knowledge graphs. Created fraud detection models using TensorFlow and AutoML to identify risky payment behavior, boosting platform security. Developed summarization models on legal documents with BERT and T5 to reduce review cycles. Deployed scalable ML inference services on Docker and GKE with secure API endpoints. Automated ML pipelines via Vertex AI and Kubeflow for efficient data processing, training, and monitoring. Fine-tuned GPT-3.5 and PaLM 2 for domain-specific tasks, improving accuracy and token efficiency. Built explainability dashboards with SHAP and LIME to aid audit teams. Engineered real-time fraud detection streams with Apache Beam and Pub/Sub routing alerts to human agents swiftly. Demonstrated expertise in int

Machine Learning Engineer at Textron Aviation

September 30, 2024 - September 4, 2025

Developed predictive maintenance models using XGBoost and LSTM on aircraft telemetry to increase uptime by 35% and reduce failure risks. Built GCP pipelines with BigQuery ML, Vertex AI, and Cloud Functions for real-time IoT data processing with low streaming latency. Deployed Keras ML models integrated into operational dashboards supporting flight and maintenance decisions. Collaborated on data transformation from structured and unstructured maintenance logs using Spark and Pandas. Investigated model errors with SHAP and LIME to improve trust and interpretability. Created anomaly detection models via Isolation Forest and autoencoders for early equipment failure warnings. Designed interactive dashboard visualization tools using Streamlit and Power BI for operational staff. Fine-tuned CNNs for aircraft part classification improving recognition accuracy above 92%. Conducted clustering analyses to identify fault patterns for servicing strategy improvements. Built NER models to extract part

Data Scientist at Lowe’s

June 30, 2023 - September 4, 2025

Created customer segmentation models using clustering techniques to enhance marketing personalization and improve campaign ROI. Developed recommendation engines employing collaborative filtering and matrix factorization to increase cross-sell and average order value. Engineered churn propensity models driving strategic interventions and reducing attrition. Automated ETL pipelines using Apache Airflow and PySpark for large-scale data ingestion and processing. Deployed Flask REST APIs enabling real-time model inference integrated with customer-facing tools. Built sentiment analysis and topic modeling pipelines with spaCy and Gensim to guide product improvements. Developed pricing optimization models identifying elasticity patterns for revenue maximization. Conducted statistical A/B testing to validate model impacts guiding product teams. Provided KPI and model performance visualizations with Tableau and Power BI for leadership insights.

Data Scientist at Siemens

January 31, 2021 - September 4, 2025

Migrated legacy dashboards to cloud platforms enhancing accessibility and reliability for biomedical research insights. Managed Kubernetes cluster migrations to maintain stable and scalable data pipeline infrastructure. Transitioned healthcare applications to AWS EKS achieving high uptime and cost efficiency. Handled genomic and clinical datasets using Cassandra and MongoDB, improving query speeds significantly. Developed Snowflake integrations consolidating biomedical data for cross-functional analytics. Automated Jenkins CI/CD pipelines speeding deployment of data tools by 35%. Created Apache Airflow ETL pipelines reducing data latency and improving quality. Streamlined clinical data workflows enabling real-time updates supporting complex biomedical research. Scaled ML services with containerized microservices on Kubernetes to support AI research applications. Applied knowledge-enhancement frameworks similar to RAG through data consolidations and integrated biomedical repositories.