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I am a results-driven AI/ML Engineer with over 9 years of experience in designing, developing, and deploying machine learning models, deep learning architectures, and AI-driven solutions. I specialize in building and optimizing agentic AI systems using prompt engineering and large language model orchestration frameworks for real-time task execution. I am passionate about leveraging AI to solve complex, real-world problems and possess strong skills in Python, TensorFlow, PyTorch, and cloud-based ML platforms. Throughout my career, I have developed generative architectures including transformers, GANs, and VAEs and have a strong commitment to AI ethics and bias mitigation. My expertise extends to managing the entire data science project lifecycle, building scalable AI pipelines, and deploying production-grade machine learning models on cloud platforms such as GCP and AWS. I excel at collaborating with cross-functional teams to deliver innovative AI solutions that drive business value.…I am a results-driven AI/ML Engineer with over 9 years of experience in designing, developing, and deploying machine learning models, deep learning architectures, and AI-driven solutions. I specialize in building and optimizing agentic AI systems using prompt engineering and large language model orchestration frameworks for real-time task execution. I am passionate about leveraging AI to solve complex, real-world problems and possess strong skills in Python, TensorFlow, PyTorch, and cloud-based ML platforms. Throughout my career, I have developed generative architectures including transformers, GANs, and VAEs and have a strong commitment to AI ethics and bias mitigation. My expertise extends to managing the entire data science project lifecycle, building scalable AI pipelines, and deploying production-grade machine learning models on cloud platforms such as GCP and AWS. I excel at collaborating with cross-functional teams to deliver innovative AI solutions that drive business value.

Varikuppala Uday

AI Engineer, Data Scientist, Developer, +3

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I am a results-driven AI/ML Engineer with over 9 years of experience in designing, developing, and deploying machine learning models, deep learning architectures, and AI-driven solutions. I specialize in building and optimizing agentic AI systems using prompt engineering and large language model orchestration frameworks for real-time task execution. I am passionate about leveraging AI to solve complex, real-world problems and possess strong skills in Python, TensorFlow, PyTorch, and cloud-based ML platforms. Throughout my career, I have developed generative architectures including transformers, GANs, and VAEs and have a strong commitment to AI ethics and bias mitigation. My expertise extends to managing the entire data science project lifecycle, building scalable AI pipelines, and deploying production-grade machine learning models on cloud platforms such as GCP and AWS. I excel at collaborating with cross-functional teams to deliver innovative AI solutions that drive business value.…I am a results-driven AI/ML Engineer with over 9 years of experience in designing, developing, and deploying machine learning models, deep learning architectures, and AI-driven solutions. I specialize in building and optimizing agentic AI systems using prompt engineering and large language model orchestration frameworks for real-time task execution. I am passionate about leveraging AI to solve complex, real-world problems and possess strong skills in Python, TensorFlow, PyTorch, and cloud-based ML platforms. Throughout my career, I have developed generative architectures including transformers, GANs, and VAEs and have a strong commitment to AI ethics and bias mitigation. My expertise extends to managing the entire data science project lifecycle, building scalable AI pipelines, and deploying production-grade machine learning models on cloud platforms such as GCP and AWS. I excel at collaborating with cross-functional teams to deliver innovative AI solutions that drive business value.

Available to hire

I am a results-driven AI/ML Engineer with over 9 years of experience in designing, developing, and deploying machine learning models, deep learning architectures, and AI-driven solutions. I specialize in building and optimizing agentic AI systems using prompt engineering and large language model orchestration frameworks for real-time task execution. I am passionate about leveraging AI to solve complex, real-world problems and possess strong skills in Python, TensorFlow, PyTorch, and cloud-based ML platforms.

Throughout my career, I have developed generative architectures including transformers, GANs, and VAEs and have a strong commitment to AI ethics and bias mitigation. My expertise extends to managing the entire data science project lifecycle, building scalable AI pipelines, and deploying production-grade machine learning models on cloud platforms such as GCP and AWS. I excel at collaborating with cross-functional teams to deliver innovative AI solutions that drive business value.

Skills

Experience Level

Expert

Expert

Expert

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Expert

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Intermediate

Work Experience

Gen AI ML Engineer at Allie Mae

December 1, 2023 - Present

Developed and deployed agentic AI solutions using advanced prompt chaining techniques with Gemini and Claude models. Integrated custom APIs and pipelines leveraging FastAPI and Google Cloud Run for scalable large language model deployments. Built end-to-end AI data pipelines from ingestion to deployment and optimized model performance with hyperparameter tuning, resulting in improved accuracy and reduced inference times. Applied NLP techniques for processing unstructured data, fine-tuned transformer-based models including GPT-4 and Gemini, and designed autonomous AI agents for task planning and real-time decision-making. Led RAG pipeline implementations using LangChain and FAISS supporting contextual search and document enrichment. Managed automated CI/CD workflows and deployed ML services on GKE and AWS SageMaker, ensuring scalability and reliability of AI systems.

Data Scientist/ML Engineer at UHG

November 30, 2023 - August 28, 2025

Designed, developed, and integrated AI and ML solutions for data-driven insights and decision making across business workflows. Utilized NLP for sentiment analysis and unstructured data mining, and applied diverse ML models including ensemble methods, CNNs, and LSTMs for classification and time-series forecasting. Implemented Spark-based ETL processes on big data infrastructures and collaborated on early-stage development of transformer models. Managed cloud-based ML workflows and model deployment using Azure Machine Learning services. Developed data visualizations and dashboards using Tableau, and administered Kafka and Spark streaming pipelines for real-time analytics. Supported reinforcement learning strategies to optimize agent behaviors within business processes.

Data Scientist at Lulu Lemon

August 31, 2021 - August 28, 2025

Conducted statistical modeling and hypothesis testing, including ANOVA and logistic regression, to analyze and interpret large datasets. Developed machine learning models for classification and regression, evaluated model performance using confusion matrices and ROC curves. Worked closely with machine learning engineers on data requirements and collaborated on creating pivot tables and visualizations for business insights. Utilized Python and R libraries for data analysis and model development while ensuring data accuracy and integrity through validation processes.

Data Scientist/ML Engineer at Broad Ridge

October 1, 2019 - August 28, 2025

Extracted and prepared large datasets from HDFS for exploratory analysis and modeling. Built predictive models using Bayesian methods, XGBoost, SVM, and Random Forests. Collaborated on all phases of data mining workflows including cleaning, validation, and visualization. Developed cloud-based data storage and analysis solutions on AWS. Worked extensively with Python data science libraries for machine learning, text analytics, and statistical modeling. Participated in agile project development and created dashboards and reports using Tableau and business intelligence tools.

Python Developer at Codiant Software Technologies

July 1, 2017 - August 28, 2025

Developed Python applications including web scraping, data parsing, and statistical machine learning models. Built text classification applications and web services using SOAP and REST APIs. Worked extensively with MySQL and SQLAlchemy for database interaction and optimized code for performance. Participated in Agile SCRUM meetings and handled QA testing. Utilized python modules for web crawling and data extraction, contributing to automation and application development projects in a Linux environment.

Gen AI ML Engineer at Sallie Mae

December 1, 2023 - Present

Developed agentic AI solutions incorporating prompt chaining and context management using Gemini and Claude models aligned with enterprise automation goals. Integrated custom APIs and pipelines using FastAPI and GCP Cloud Run for scalable LLM deployment. Built end-to-end AI pipelines including data ingestion, preprocessing, training, and deployment. Applied NLP techniques such as transformers, sentiment analysis, and text summarization to drive automated insights from unstructured data. Fine-tuned transformer-based LLMs for summarization and content generation to enhance user interactions. Optimized model performance achieving notable improvements in accuracy and inference time. Deployed models on AWS SageMaker and GCP to enable scalability and real-time inference. Designed and deployed autonomous AI agents and RAG-based pipelines using LangChain and FAISS for contextual search and document enrichment. Built and maintained CI/CD workflows and model monitoring systems for reliable ML de

Data Scientist/ML Engineer at UHG

November 30, 2023 - August 28, 2025

Designed, implemented, and integrated AI solutions with a focus on NLP for sentiment analysis and unstructured data mining. Utilized various ML algorithms including linear and logistic regression, clustering, deep neural networks, CNNs, LSTMs, and ensemble models to predict and forecast data trends. Managed Azure Machine Learning workflows and applied reinforcement learning techniques for behavior optimization. Developed ETL pipelines using Spark SQL and Hadoop ecosystem tools. Created visual analytics dashboards with Tableau and Power BI. Authored complex SQL queries across multiple database platforms. Supported GenAI research with preprocessing techniques for transformer-based models. Collaborated in cross-functional teams delivering cloud-based end-to-end ML production pipelines leveraging Python, Scala, and Spark technologies.

Data Scientist at Lulu Lemon

August 31, 2021 - August 28, 2025

Conducted advanced statistical modeling including ANOVA, chi-square tests, logistic regression, and multiple regression analysis to inform business decisions. Built machine learning models using Python libraries for classification and predictive analytics tasks. Optimized database performance and data accuracy through query refinement and integrity checks. Collaborated closely with machine learning engineers for data analysis requirements and contributed to pivot table analysis for reporting. Employed Tableau and R for data visualization and insights delivery.

Data Scientist/ ML Engineer at Broad Ridge

October 1, 2019 - August 28, 2025

Extracted and processed large-scale data from HDFS for exploratory analysis. Built Bayesian and machine learning models including XGBoost, SVM, and Random Forest. Participated in full data mining phases encompassing cleaning, collection, validation, and visualization. Worked with AWS cloud infrastructure for data storage and analysis. Developed proprietary analytics tools using Python and contributed to Agile project development cycles. Managed ETL and data transformation using Teradata and Informatica. Validated model classifiers and maintained OLAP databases for business intelligence applications.

Python Developer at Codiant Software Technologies

July 1, 2017 - August 28, 2025

Led software development from requirements gathering to full application delivery in Anaconda Python environment. Developed data scraping and web crawling routines using Python modules to automate data acquisition. Designed and implemented web services using SOAP with XML data interchange. Wrote SQL and stored procedures and optimized code to minimize redundancy. Acted as Scrum Master and led daily Agile meetings, performed QA testing, and maintained project reporting. Delivered text classification solutions and coordinated client-facing communications.