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I am an AI and machine learning engineer with over 10 years of experience working across diverse domains. I specialize in designing, developing, and deploying robust AI models, particularly in NLP, cloud technologies, and big data. My passion lies in creating innovative solutions that drive efficiency and deliver actionable insights. Throughout my career, I have built scalable data pipelines, developed predictive models, and integrated generative AI into real-world applications. I enjoy collaborating with cross-functional teams to bring AI capabilities to life and continuously learning about the latest AI advancements to push the boundaries of technology.…I am an AI and machine learning engineer with over 10 years of experience working across diverse domains. I specialize in designing, developing, and deploying robust AI models, particularly in NLP, cloud technologies, and big data. My passion lies in creating innovative solutions that drive efficiency and deliver actionable insights. Throughout my career, I have built scalable data pipelines, developed predictive models, and integrated generative AI into real-world applications. I enjoy collaborating with cross-functional teams to bring AI capabilities to life and continuously learning about the latest AI advancements to push the boundaries of technology.

Deepti Kalapala

AI Engineer, AI Developer, Data Scientist, +4

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I am an AI and machine learning engineer with over 10 years of experience working across diverse domains. I specialize in designing, developing, and deploying robust AI models, particularly in NLP, cloud technologies, and big data. My passion lies in creating innovative solutions that drive efficiency and deliver actionable insights. Throughout my career, I have built scalable data pipelines, developed predictive models, and integrated generative AI into real-world applications. I enjoy collaborating with cross-functional teams to bring AI capabilities to life and continuously learning about the latest AI advancements to push the boundaries of technology.…I am an AI and machine learning engineer with over 10 years of experience working across diverse domains. I specialize in designing, developing, and deploying robust AI models, particularly in NLP, cloud technologies, and big data. My passion lies in creating innovative solutions that drive efficiency and deliver actionable insights. Throughout my career, I have built scalable data pipelines, developed predictive models, and integrated generative AI into real-world applications. I enjoy collaborating with cross-functional teams to bring AI capabilities to life and continuously learning about the latest AI advancements to push the boundaries of technology.

Available to hire

I am an AI and machine learning engineer with over 10 years of experience working across diverse domains. I specialize in designing, developing, and deploying robust AI models, particularly in NLP, cloud technologies, and big data. My passion lies in creating innovative solutions that drive efficiency and deliver actionable insights.

Throughout my career, I have built scalable data pipelines, developed predictive models, and integrated generative AI into real-world applications. I enjoy collaborating with cross-functional teams to bring AI capabilities to life and continuously learning about the latest AI advancements to push the boundaries of technology.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Hindi

Advanced

Work Experience

AI Engineer/Gen AI Engineer at Circle K

April 1, 2023 - Present

Created AI-based forms recommendation system with a 65% accuracy rate. Built summarisation tools using Hugging Face models for contract content understanding. Designed and deployed chatbots powered by RNNs for billing issue explanations. Developed data pipelines on GCP with Cloud Composer, BigQuery, and Storage buckets. Built RAG pipelines using ChromaDB, Langchain, and Mistral for document retrieval and search. Integrated Generative AI in customer service tools and enhanced supply chain efficiency with NLP. Developed dashboards for real-time model performance monitoring using Grafana/Kibana. Worked on Splunk DB connections and architected AWS cloud security for IoT and multiple AWS services. Migrated data sources to AWS S3 and optimized ETL processes using AWS Glue and Athena, improving Tableau reporting. Created intelligent supply chain management solutions using Machine Learning, Time Series, and NLP in Python. Built customer attrition random forest models increasing retention by 6

AI/ML Engineer at AXS, Los Angeles, CA

March 31, 2024 - August 1, 2025

Enhanced customer engagement and internal decision-making using AI solutions. Designed recommendation systems and churn prediction models. Integrated ChatGPT into customer support portal, decreasing response time by 20%. Developed NLP systems for HR case classification and tracking. Helped design GPU infrastructure for AI and cognitive computing. Built and stabilized Linux infrastructure and Hadoop clusters. Created rich data visualizations using Tableau and Matplotlib. Extracted and analyzed geospatial data from multiple sources to improve Verizon's network performance. Developed Prometheus and Grafana monitoring tools for API stacks. Implemented MapReduce/Spark modules in Python on Hadoop AWS for predictive analytics. Built REST APIs using Python Flask on data lakes and productionized ML pipelines on Google Cloud Platform.

ML Developer at Flagstar Bank, Troy, MI

September 30, 2022 - August 1, 2025

Focused on Big Data, Deep Learning, Machine Learning, and Image Processing. Developed Spark Core, SQL, Streaming, and ML modules using Scala and Python. Designed Data Pipelines using Directed Acyclic Graph patterns. Created C++ modules for unit and integration testing including XML SOAP client and TCP/IP. Developed data visualization dashboards for automobile market insights. Built vehicle pricing and churn prediction models using PySpark. Automated deployments with Docker and Jenkins CI. Utilized NLP techniques to optimize customer satisfaction. Managed teams as Scrum master and implemented pair programming and architectural patterns reducing tech debt by 20%. Improved SLAs by 35% and customer satisfaction through process optimization.

Data Scientist at Info Services/KCP&L, Kansas City, MO

August 31, 2021 - August 1, 2025

Developed KNN models for product selection optimizing profitability. Focused on operational efficiency and automation. Built image classifiers to detect product defects using PyTorch and OpenCV. Produced executive dashboards to track performance metrics. Ran diagnostic surveys to predict team performance. Extracted and analyzed data with Python, Pandas, NumPy, and Excel. Delivered reports and recommendations to improve team effectiveness.

Python Developer at Value Labs, India

December 31, 2019 - August 1, 2025

Developed internal frameworks and automated test systems. Built reusable components using Django MVC architecture. Introduced requirement traceability tools and automation processes. Implemented Python Inversion of Control principles and secured applications with Python-based Spring Security. Hands-on experience with Django core components including controllers, views, and models. Created test automation frameworks using Python and SeeTest APIs.

AI Engineer/Gen AI Engineer at Circle K

April 1, 2023 - Present

Created an AI-based forms recommendation system with a 65% accuracy rate. Built a summarisation tool using Hugging Face models to assist users in understanding contract contents quickly. Designed and deployed chatbots powered by RNNs for billing issue explanations. Developed data pipelines on GCP using Cloud Composer, BigQuery, and Storage buckets. Built RAG pipelines using ChromaDB, Langchain, and Mistral for document retrieval and search. Integrated generative AI into customer service tools improving supply chain efficiency using NLP. Developed dashboards for real-time model performance monitoring with Grafana and Kibana. Managed Splunk DB connections and architected AWS cloud security solutions including IoT and various AWS services. Migrated data sources to AWS S3 and built tables in AWS Athena with ETL jobs using AWS Glue, enhancing process efficiency. Used machine learning, time series, and NLP to build intelligent supply chain management systems. Created a customer attrition ran

AI/ML Engineer at AXS, Los Angeles, CA

March 31, 2024 - August 1, 2025

Enhanced customer engagement and internal decision-making through AI solutions. Designed recommendation systems and churn prediction models. Integrated ChatGPT into customer support portal improving response times by 20%. Built NLP-based systems for HR case classification and tracking. Supported GPU infrastructure design for AI and cognitive computing. Built and stabilized Linux infrastructure and two production Hadoop Clusters. Developed data visualizations with Tableau and Matplotlib to convert complex data into human-readable insights. Extracted and analyzed geospatial data from various cloud and on-premise sources to improve network performance for Verizon. Developed Prometheus & Grafana monitoring tools for API stacks. Implemented MapReduce and Spark modules in Python for predictive analytics and machine learning running on AWS Hadoop clusters. Built REST APIs using Flask over data lakes including BigQuery and Cloud SQL on GCP. Productionized machine learning pipelines on Google C

ML Developer at Flagstar Bank, Troy, MI

September 30, 2022 - August 1, 2025

Focused on Big Data, deep learning, machine learning, and image processing applications for banking KPIs improvement. Hands-on experience in Spark Core, SQL, Streaming and ML using Scala and Python. Designed data pipelines with DAG patterns such as ETLT. Developed C++ tasks for unit and integration testing including XML SOAP client and TCP/IP. Created a data visualization dashboard to provide automobile market insights. Developed vehicle pricing model for auctions aiding customer valuation. Implemented CI/CD automation with Docker and Jenkins. Extracted SQLite data and converted tables to CSV for analytics. Built LSTM and anomaly detection models for performance forecasting. Developed recommender systems on AWS EMR enhancing churn prediction accuracy. Used evaluation metrices like F-Score, AUC/ROC, MAE, RMSE. Applied NLP techniques to optimize customer satisfaction. Acted as Scrum master and introduced practices to reduce technical debt and SLA times.

Data Scientist at Info Services/KCP&L, Kansas City, MO

August 31, 2021 - August 1, 2025

Developed a KNN model to select profitable toys for sale. Focused on operational efficiency and automation. Built image classifiers for product defect detection using PyTorch and OpenCV. Created executive dashboards for tracking performance metrics. Developed diagnostic survey tools for team performance prediction. Extracted, compiled and analyzed data using Python libraries and advanced Excel to produce actionable reports. Grouped data by requirement and performed summary statistics for client consulting.

Python Developer at Value Labs, India

December 31, 2019 - August 1, 2025

Developed internal frameworks and automated test systems. Built reusable components using Django MVC. Introduced requirement traceability tools and process automation. Utilized Python IoC principles and Django framework for application development and security implementations. Designed and developed test automation frameworks using Python and SeeTest APIs.

AI Engineer/Gen AI Engineer at Circle K

April 1, 2023 - Present

Created an AI-based forms recommendation system with a 65% accuracy rate. Built summarisation tools using Hugging Face models for rapid contract understanding. Designed and deployed RNN-powered chatbots for billing issue explanations. Developed data pipelines on GCP using Cloud Composer, BigQuery, and Storage buckets. Built Retrieval-Augmented Generation (RAG) pipelines with ChromaDB, Langchain, and Mistral. Integrated generative AI into customer service tools and enhanced supply chain efficiency using NLP. Developed real-time dashboards for model monitoring with Grafana/Kibana. Managed Splunk DB connect identities, lookups, and access controls. Architected AWS cloud security solutions including AWS IoT services, S3, EC2, EKS, and more. Migrated data sources to AWS S3, replacing multiple data connections to Tableau via ETL jobs using AWS Glue, improving efficiency. Applied machine learning, time series, and NLP for intelligent supply chain management. Developed a customer attrition ran

AI/ML Engineer at AXS, Los Angeles, CA

March 31, 2024 - August 1, 2025

Enhanced customer engagement and internal decision-making with AI solutions. Designed recommendation systems and churn prediction models. Integrated ChatGPT with customer support portal, improving response times by 20%. Built NLP systems for HR case classification and tracking. Designed GPU infrastructure for AI and cognitive computing. Developed and stabilized Linux infrastructure and production Hadoop clusters. Designed rich data visualizations with Tableau and Matplotlib. Analyzed geospatial data from on-premise and cloud sources to improve network performance. Built Prometheus and Grafana monitoring tools. Developed Spark and MapReduce Python modules for predictive analytics and machine learning on AWS. Built REST APIs on GCP using Python Flask framework. Productionized machine learning pipelines on GCP including data extraction, cleaning, and model training. Experienced in ANN and deep learning models with Theano, TensorFlow, and Keras.

ML Developer at Flagstar Bank, Troy, MI

September 30, 2022 - August 1, 2025

Focused on Big Data, Deep Learning, and AI for banking KPIs improvement. Hands-on with Spark Core, SQL, Streaming, and ML using Scala and Python. Designed and developed ETL pipelines using Direct Acyclic Graph patterns. Developed unit and integration tests in C++ including XML SOAP client and TCP/IP tasks. Created data visualization dashboards for automobile market insights. Built vehicle pricing models to aid automobile valuation in auctions. Implemented CI/CD pipelines using Docker and Jenkins. Accessed SQLite data for metadata extraction and CSV conversion. Built LSTM and anomaly detection models for performance forecasting. Developed recommender systems on AWS EMR, improving churn prediction. Utilized NLP techniques to optimize customer satisfaction. Acted as Scrum Master managing global teams. Introduced pair programming and code quality reviews reducing technical debt by 20%. Optimized SLA processes by 35%, enhancing customer satisfaction.

Data Scientist at Info Services/KCP&L, Kansas City, MO

August 31, 2021 - August 1, 2025

Developed KNN models to optimize product selection and increase profitability. Focused on operational efficiency and automation. Built image classifiers using PyTorch and OpenCV for product defect detection prior to shipping. Created executive dashboards for tracking performance metrics. Ran diagnostic survey tools predicting team performance. Extracted and analyzed data with Python, Pandas, NumPy, and Excel to build reports and provide recommendations. Performed grouping and summary statistics based on requirements.

Python Developer at Value Labs, India

December 31, 2019 - August 1, 2025

Developed internal frameworks and automated test systems. Built reusable components using Django MVC architecture. Introduced requirement traceability and process automation tools. Utilized Python’s Inversion of Control (IoC) principles and Django framework. Implemented security protocols with Python-based Spring Security. Worked on core Django components including controllers, views, and models. Developed test automation frameworks using Python and SeeTest APIs.