Summary
Overview
Work History
Education
Skills
Languages
Accomplishments
Timeline
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Lokendra Kumar Karuturi

Chicago,IL

Summary

Over 8 years of experience in Generative AI, Data Science, and Data Engineering, specializing in the development and deployment of AI/ML solutions across diverse industries. Expertise in designing generative AI models such as GANs, VAEs, and LLMs using TensorFlow and PyTorch, with a strong focus on NLP tasks, including text generation and classification. Proven track record of optimizing model inference latency by 45%, and automating ML workflows with tools like Vertex AI and Kubeflow. Skilled in managing scalable data pipelines, and leveraging cloud services for efficient data processing and model deployment.

Seasoned professional experience in Generative AI and Data Engineering, delivering AI/ML solutions that drive business results. Proficient in building and deploying advanced AI models, including LLMs and diffusion models, utilizing frameworks like Hugging Face and PyTorch. Achievements include a 45% reduction in model inference latency, and successful automation of end-to-end ML workflows. Strong background in MLOps, data pipeline management, and cloud service integration for scalable solutions.

AI and data science expert in developing and implementing AI/ML solutions across various sectors. Demonstrated ability to design and deploy generative AI models and optimize workflows, achieving significant performance improvements, such as a 45% decrease in inference latency. Extensive experience with MLOps tools and cloud platforms, ensuring reliable and scalable model deployment. Adept at managing complex data pipelines and applying advanced machine learning techniques for impactful results.

Overview

7
7
years of professional experience

Work History

Gen AI/ML Engineer

M&T Bank
Buffalo, NY
08.2020 - 07.2023
  • Integrated AI solutions with statistical modeling, decision trees, and sentiment analysis to optimize model accuracy.
  • Conducted A/B testing for multivariate analysis on gaming promotions, evaluating combo offers' impact on sales.
  • Developed a chatbot using GPT-3 to enhance customer support, achieving a 30% reduction in response time.
  • Managed vector databases, increasing storage efficiency and boosting query performance by 35%.
  • Designed augmented reality engines utilizing Bayesian models, SVMs, CRFs, and other generative techniques.
  • Applied prompt engineering for generative AI in data synthesis, image creation, and video augmentation.
  • Leveraged cloud technologies for automated machine learning pipelines using AWS and GCP.
  • Created robust RESTful services with FastAPI, integrated with PostgreSQL, DynamoDB, and S3.
  • Built machine learning pipelines in TensorFlow, Scikit-Learn, and PyTorch for predictive models across applications.
  • Deployed LLM-based applications to automate business processes and enhance customer engagement via OpenAI's GPT.
  • Conducted data manipulation and statistical testing using Pandas and NumPy for insightful analysis.
  • Developed interactive Power BI dashboards for enhanced data visualization from complex Excel datasets.
  • Implemented MLOps practices using Vertex AI to streamline deployment and integration of models in production.
  • Researched language models to develop generative AI experiences with Google Vertex AI for improved data analysis.
  • Utilized NLP libraries such as NLTK and SpaCy for text classification and tagging enhancements.
  • Designed deep learning projects employing CNNs and RNNs for tasks such as movie recommendation systems.
  • Created predictive analytics models using AI to generate insights for customer and business processes.
  • Built AI-driven cognitive search solutions to enhance data retrieval accuracy across platforms.
  • Developed LSTM-based review analysis systems, integrating TF-IDF and Word2Vec NLP techniques.
  • Implemented interactive Power BI dashboards to provide actionable insights from data transformations.
  • Managed data processing pipelines in GCP for the effective serving of AI/ML services in production environments.
  • Utilized Keras-based models for computer vision projects, focusing on image classification and object detection.
  • Applied LLM research to refine NLP algorithms aimed at improving automated data processing efficiency.
  • Leveraged IDEs like Eclipse and PyCharm for streamlined Python development across various machine learning projects.

Machine Learning Engineer

Giant Eagle
Pittsburgh, PA
01.2018 - 07.2020
  • Created Python workflows triggered by external events to collect and analyze data from various REST APIs.
  • Developed deep learning models such as GANs and VAEs for image synthesis and anomaly detection applications.
  • Built and deployed a Flask API for processing failure logs, integrating with LLMs for content generation.
  • Leveraged Python and R for data analysis, designing dashboards in Tableau and Superset for management insights.
  • Utilized GCP tools like BigQuery and DataProc to streamline data lakes and automate model building with AutoML.
  • Designed NLP pipelines, enhancing semantic search capabilities and significantly improving user experience.
  • Configured Python REST API frameworks using Flask and FastAPI, providing interactive documentation for teams.
  • Utilized advanced NLP techniques for unstructured data analysis, extracting valuable insights from various sources.
  • Conducted performance testing on cognitive search systems to identify bottlenecks and enhance scalability.
  • Developed predictive models using Python, R, and SQL, applying techniques like SVM and Decision Trees to estimate risks.
  • Employed TensorFlow and Keras to build generative models, optimizing performance through hyperparameter tuning.
  • Created customer segmentation models using K-means clustering in Scikit-learn to refine marketing strategies.
  • Implemented AWS Step Functions to orchestrate tasks related to Amazon SageMaker for efficient model deployment.
  • Built interactive dashboards in Tableau for transaction metrics visualization and fraud detection analysis.
  • Designed CNN and RNN architectures tailored for complex data tasks, including sequential data processing.
  • Implemented advanced machine learning models across projects for feature prediction and data analysis.
  • Utilized MongoDB and Hadoop for rapid data extraction, enhancing cross-functional team efficiency.
  • Created predictive models using statistical algorithms such as Linear Regression and Random Forests for risk estimation.
  • Executed data cleaning and feature selection with MLlib in PySpark, employing K-means clustering effectively.
  • Developed K-means clustering techniques, driving customer segmentation to support strategic decisions.
  • Configured interactive dashboards in Tableau to facilitate high-level data visualization for decision-making.

Data Engineer

Standalone IT solutions
Hyderabad, TG
07.2016 - 12.2017
  • Developed MapReduce programs in Java to parse raw data and populate staging tables for further processing.
  • Analyzed the DAT/IDW Framework, recommending enhancements for real-time and batch data injection into the Hadoop Data Lake.
  • Wrote Python scripts for XML parsing and database loading, facilitating seamless data integration.
  • Connected Tableau to PostgreSQL, creating a customized interface that improved navigation and user experience.
  • Collaborated with users in business analysis to identify entities and attributes for data modeling.
  • Created data access components using JDBC, DAOs, and Beans for efficient data manipulation.
  • Implemented workflows via the Apache Oozie framework to automate various data processing tasks.
  • Managed and reviewed Hadoop log files to ensure system integrity and performance.
  • Engineered MapReduce programs in Java for raw data parsing and staging table population.
  • Analyzed the DAT/IDW Framework, providing recommendations for enhanced data injection into the Hadoop Data Lake.
  • Authored Python scripts for XML document parsing and database loading, supporting seamless integration.
  • Integrated Tableau with PostgreSQL, enhancing workbook navigation through a customized interface.
  • Participated in business analysis to define key entities and attributes for effective data modeling.
  • Developed JDBC-based data access components for streamlined data manipulation and retrieval.
  • Automated data processing tasks through workflow implementation using the Apache Oozie framework.
  • Oversaw the management of Hadoop log files to uphold system integrity and optimize performance.
  • Created MapReduce programs in Java to efficiently parse raw data and populate staging tables for processing readiness.
  • Evaluated the existing DAT/IDW Framework, recommending improvements for real-time and batch data integration into the Hadoop Data Lake.
  • Developed Python scripts that parsed XML documents and loaded data into databases, enabling effective integration.
  • Established connections between Tableau and PostgreSQL to deliver a tailored interface, improving user experience.
  • Engaged in business analysis, collaborating with users to outline entities and attributes necessary for data models.
  • Constructed JDBC-based components for effective data manipulation, utilizing DAOs and Beans.
  • Utilized the Apache Oozie framework to automate workflows across multiple data processing tasks.
  • Reviewed Hadoop log files consistently to maintain system integrity, while optimizing overall performance.

Education

Master of Science - Computer And Information Sciences

Roosevelt University
Chicago, IL
12-2024

Skills

Machine Learning & AI

  • Algorithms: Linear/Logistic Regression, Decision Trees, Random Forest, Naive Bayes, SVM, KNN, K-Means, LDA
  • Ensemble Methods: XGBoost, LightGBM, and AdaBoost
  • NLP and Transformers: Named Entity Recognition, Text Classification, and Hugging Face Transformers

Deep learning

  • Neural Architectures: CNN, RNN, LSTM, GANs, Autoencoders
  • Applications: Cognitive Search, Reinforcement Learning, Neural Network Modeling

Generative AI & LLMs

  • Models & APIs: GPT-3/4, Claude, LLaMA 2/3, ChatGPT, DALLE 2/3, StyleGAN, Stable Diffusion
  • Frameworks & Tools: Hugging Face, OpenAI API, DeepSpeed, Diffusers
  • Capabilities: Prompt Engineering (Chain-of-Thought, Agenta), LangChain, LLaMAIndex, Retrieval-Augmented Generation (RAG)

Big Data & ETL

  • Hadoop Ecosystem: HDFS, MapReduce, Hive, HBase
  • Spark Stack: PySpark, SparkSQL, MLlib
  • Streaming & Workflow: Apache Kafka, Flink, Airflow
  • ETL Tools: Informatica PowerCenter, SSIS, AWS Glue

Programming & Scripting

  • Languages: Python, R, SQL, Java, Scala
  • Web & Scripting: JavaScript, TypeScript, Bash, Shell

Data Science & Notebooks

  • IDEs and tools: Jupyter Notebook, Google Colab, Amazon SageMaker, VS Code, RStudio

Cloud Platforms

  • AWS: S3, Lambda, SageMaker, Bedrock, EC2
  • GCP: Vertex AI, BigQuery, Dataflow
  • Azure: ML Studio, Azure OpenAI, Azure Functions

DevOps & MLOps

  • Containerization & Orchestration: Docker, Kubernetes
  • CI/CD & Infrastructure: Jenkins, Terraform, Ansible, GitLab CI/CD
  • Testing: TDD/BDD with JUnit, Mockito, Karma

Databases

  • Relational: MySQL, PostgreSQL, SQLite, SQL Server, Oracle
  • NoSQL: MongoDB, Cassandra, Redis

Vector & Specialized Databases

  • ChromaDB, FAISS, Pinecone, Weaviate

Data Visualization & BI

  • Dashboards: Tableau, Power BI, Looker, Grafana, Google Data Studio
  • Libraries: Matplotlib, Seaborn, Plotly, Bokeh, Dash, R Shiny
  • Tools: Excel

Version Control & Collaboration

  • Git, GitHub, GitLab, Bitbucket, TFS
  • Project Management: JIRA, Confluence

Languages

English
Full Professional
Telugu
Native/ Bilingual
German
Limited

Accomplishments

RU PRIME Micro-Grant Recipient – Roosevelt University, awarded: $2,000 for AI and Blockchain-Integrated Traffic System (Dec 2024 – Nov 2025).
Selected for innovation and impact in AI and blockchain applications for traffic systems.

Timeline

Gen AI/ML Engineer

M&T Bank
08.2020 - 07.2023

Machine Learning Engineer

Giant Eagle
01.2018 - 07.2020

Data Engineer

Standalone IT solutions
07.2016 - 12.2017

Master of Science - Computer And Information Sciences

Roosevelt University

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Lokendra Kumar Karuturi