Available to hire
Hi, I’m Pardha Saradhi Kasineedi, a passionate Generative AI and Machine Learning engineer with over 5 years of experience. I specialize in developing state-of-the-art LLM-based applications and deploying scalable AI solutions on cloud platforms like AWS and Azure. I enjoy designing innovative AI workflows and creating meaningful impacts in industries such as finance and healthcare.
I have hands-on expertise in prompt engineering, fine-tuning models, and building secure, context-aware AI services. I love collaborating with cross-functional teams to drive AI adoption and improve decision-making with advanced technologies. Let’s connect and explore how AI can transform your business!
Skills
Language
English
Fluent
Work Experience
Gen AI Engineer at Huntington National Bank
October 1, 2024 - PresentDeveloped and deployed enterprise-grade RAG pipelines using Azure Cognitive Search and Azure OpenAI to deliver secure, context-aware insights from financial and internal documents. Designed Agentic AI applications with LangChain and LangGraph for financial risk analysis, compliance checks, and automated report generation. Managed financial content ingestion and indexing using Azure Data Factory and hybrid vector + semantic search. Built secure FastAPI RESTful APIs with Azure Active Directory integration for authentication and RBAC. Implemented RAG quality evaluation, containerized solutions with Docker, and deployed to Azure Kubernetes Service using CI/CD pipelines. Collaborated with compliance teams for PII masking and regulatory alignment. Enhanced prompt engineering for complex NLP workflows and developed interactive React.js user interfaces integrated with REST APIs. Applied unsupervised learning techniques for customer segmentation and PCA for feature extraction.
AI/ML Engineer at Huntington National Bank
October 1, 2024 - July 24, 2025Built and deployed LLM-based AI agents using OpenAI, Llama, and Claude for automating customer support, identity verification, and document processing. Developed RAG systems with LlamaIndex and Azure AI Search to enhance enterprise contextual accuracy. Fine-tuned open-source LLMs for domain-specific NLP tasks including NLU, summarization, and content generation. Deployed scalable AI solutions on Azure with Docker, Kubernetes, and serverless functions. Created vector database pipelines for semantic search using Pinecone, ChromaDB, and Weaviate. Led teams delivering NLP and GenAI solutions across healthcare, finance, and marketing sectors. Conducted prompt optimization and human-in-the-loop evaluations. Ensured ethical AI deployment with focus on data privacy and bias mitigation.
AI/ML Engineer at Eastern Illinois University
May 31, 2023 - July 24, 2025Built end-to-end ML pipelines for classification, regression, and forecasting using Python, TensorFlow, and PyTorch. Developed scalable NLP solutions with Hugging Face Transformers, spaCy, and NLTK. Implemented model training, validation, and hyperparameter tuning on AWS SageMaker. Created deep learning models for image and sequence data. Integrated ML models into REST APIs and containerized services for scalable deployment. Automated ML pipelines and scheduling using Dataiku DSS and MLOps tools. Conducted clustering and PCA for exploratory data analysis. Collaborated on cloud deployments in AWS environments.
Data Scientist at HCL Tech
December 31, 2021 - July 24, 2025Developed machine learning models for predictive analytics and classification using Scikit-learn, XGBoost, and LightGBM. Prepared large datasets through extensive data preprocessing and feature engineering. Built NLP pipelines for text classification and sentiment analysis. Created visualizations and dashboards for insights. Developed regression and time series forecasting models for sales and demand prediction. Trained deep learning models for image and text processing. Deployed models as Flask APIs with Docker in AWS/cloud environments. Collaborated with cross-functional teams using Agile and managed projects with JIRA and Git.
Gen AI Engineer at Huntington National Bank
October 1, 2024 - PresentDeveloped and deployed enterprise-grade Retrieval-Augmented Generation (RAG) pipelines using Azure Cognitive Search and Azure OpenAI to enable secure insights across financial reports and knowledge bases. Designed Agentic AI applications with LangChain and LangGraph to automate financial risk analysis and compliance checks. Built secure FastAPI RESTful APIs integrated with Azure Active Directory for authentication. Implemented RAG quality evaluation with RAGAS for grounded responses. Containerized solutions with Docker and deployed on Azure Kubernetes Service backed by CI/CD pipelines. Ensured PII masking and data governance. Applied advanced prompt engineering to enhance LLM reasoning and developed responsive front-end interfaces using React.js with Redux for state management. Applied unsupervised learning for customer profiling and PCA for dimensionality reduction in financial datasets.
AI/ML Engineer at Huntington National Bank
October 1, 2024 - July 24, 2025Developed LLM-based AI agents using OpenAI, Llama, and Claude for automating customer support and document processing. Designed Retrieval-Augmented Generation systems using LlamaIndex and Azure AI Search. Built and optimized generative AI models with TensorFlow and PyTorch. Integrated LangChain multi-agent frameworks to improve automation and decision-making. Fine-tuned open-source LLMs on domain datasets. Deployed scalable AI solutions on Azure with Docker, Kubernetes, and serverless functions. Implemented vector database pipelines for fast semantic search. Led cross-functional teams to deliver NLP and GenAI solutions in healthcare, finance, and marketing. Conducted prompt optimization with human-in-the-loop testing and ensured ethical AI and compliance.
AI/ML Engineer at Eastern Illinois University
May 1, 2023 - July 24, 2025Built and deployed end-to-end ML pipelines using Python, TensorFlow, and PyTorch for various tasks including classification and time series forecasting. Developed NLP solutions for entity recognition and text summarization using Hugging Face Transformers, spaCy, and NLTK. Implemented model training, validation, and hyperparameter tuning with Scikit-learn and Optuna on AWS SageMaker. Created deep learning models for image and sequence data. Applied ML algorithms such as XGBoost and SVM for business problems. Integrated ML models into RESTful APIs and containerized deployments. Automated Dataiku DSS workflows and pipeline orchestration. Used MLOps tools for model tracking and versioning. Collaborated with teams to deploy ML services in AWS cloud.
Data Scientist at HCL Tech
December 1, 2021 - July 24, 2025Developed and deployed machine learning models using Scikit-learn, XGBoost, and LightGBM for predictive analytics and classification. Performed data preprocessing and feature engineering on large datasets. Built NLP pipelines for text classification and sentiment analysis. Created visualizations and dashboards for business insights. Developed regression and time series forecasting models using ARIMA and Prophet. Trained deep learning models for image and text data. Used Jupyter Notebooks for exploratory data analysis and model development collaboratively. Tuned models with GridSearchCV and cross-validation. Deployed models using Flask APIs and Docker on AWS and Heroku. Collaborated using Agile methodology and managed version control with Git and JIRA.
Gen AI Engineer at Huntington National Bank
October 1, 2024 - PresentDeveloped and deployed enterprise-grade Retrieval-Augmented Generation (RAG) pipelines using Amazon Kendra and Amazon Bedrock integrating models like Claude, Titan, GPT-4 from Anthropic/OpenAI for secure and context-aware financial insights. Designed agentic AI applications using LangChain and LangGraph for multi-step workflows in financial risk analysis, compliance checks, and automated reports. Managed data ingestion, chunking, embedding, and indexing with hybrid vector plus semantic search. Built secure FastAPI RESTful APIs with AWS Cognito and IAM authentication. Implemented RAG quality evaluation and offline test pipelines. Used LangSmith for tracing and optimizing prompt strategies, containerized solutions with Docker, and deployed on Amazon EKS with CI/CD pipelines via GitHub Actions. Collaborated with compliance on PII masking and encryption. Developed React.js interfaces for real-time financial insights and performed clustering and dimensionality reduction for customer segment
AI/ML Engineer at Huntington National Bank
October 1, 2024 - July 24, 2025Developed and deployed LLM-based AI agents using OpenAI, Llama, and Claude models via Amazon Bedrock for customer support and document automation. Built RAG pipelines with LlamaIndex and Amazon Kendra enhancing contextual accuracy. Fine-tuned open-source LLMs using SageMaker for domain-specific NLP tasks. Orchestrated multi-agent frameworks using LangChain and Autogen. Deployed containerized AI solutions using Docker and Amazon EKS with serverless components for scalability. Built semantic vector stores integrating ChromaDB, Weaviate, and Pinecone. Conducted human-in-the-loop and automated evaluations of LLMs using RAGAS and prompt Flow. Enforced data security and privacy compliance using IAM, KMS, and encryption best practices.
AI/ML Engineer at Eastern Illinois University
May 31, 2023 - July 24, 2025Built and deployed end-to-end ML pipelines using Python, TensorFlow, and PyTorch for classification, regression, and forecasting. Developed scalable NLP solutions with Hugging Face Transformers, spaCy, and NLTK. Implemented model training, validation, and hyperparameter tuning with Scikit-learn, Optuna, and AutoML on AWS SageMaker. Created deep learning models for image and sequence data processing. Applied traditional ML algorithms for business problems in healthcare, finance, and analytics. Integrated ML models into RESTful APIs and containerized services using Flask, FastAPI, Docker, and Kubernetes. Automated data workflows with Dataiku DSS and MLOps tools like MLflow, DVC, and GitHub Actions. Conducted feature engineering and model evaluation using cross-validation and various performance metrics. Collaborated on deployments in AWS cloud environments and implemented clustering and PCA for data exploration.
Data Scientist at HCL Tech
December 31, 2021 - July 24, 2025Developed and deployed machine learning models using Scikit-learn, XGBoost, and LightGBM for predictive analytics. Managed data preprocessing and feature engineering on large structured datasets. Built NLP pipelines for text classification, topic modeling, and sentiment analysis. Created dashboards and visualizations using Matplotlib, Seaborn, and Tableau. Developed regression and time series forecasting models using ARIMA and Prophet. Trained deep learning models using TensorFlow and Keras. Conducted exploratory data analysis and hyperparameter tuning with GridSearchCV. Deployed models via Flask APIs and Docker on AWS EC2 and Heroku. Collaborated cross-functionally using Agile methodology and tools such as JIRA and Git for version control.
Gen AI Engineer at Huntington National Bank
October 1, 2024 - PresentDeveloped and deployed enterprise-grade Retrieval-Augmented Generation (RAG) pipelines using Azure Cognitive Search and Azure OpenAI to provide secure, context-aware insights across financial documents. Designed Agentic AI applications with LangChain and LangGraph to automate financial risk analysis, compliance checks, and automated report generation. Built secure RESTful APIs, integrating Azure Active Directory for authentication, and containerized solutions using Docker and Azure Kubernetes Service. Applied advanced prompt engineering techniques and collaborated with compliance teams to enforce data privacy and auditability. Developed interactive front-end interfaces using React.js, with seamless API integrations and state management. Utilized unsupervised learning and dimensionality reduction techniques to analyze financial customer data.
AI/ML Engineer at Huntington National Bank
October 1, 2024 - July 31, 2025Deployed LLM-based AI agents to automate customer support and document processing using OpenAI, Llama, and Claude. Designed RAG systems with LlamaIndex and Azure AI Search to improve contextual accuracy. Built and optimized generative AI models using TensorFlow and PyTorch, including transformer architectures for real-time inference. Integrated LangChain multi-agent frameworks to enhance workflow automation. Fine-tuned open-source LLMs for domain-specific tasks and deployed scalable AI solutions using Docker, Kubernetes, and serverless Azure functions. Developed vector database pipelines for semantic search and led cross-functional AI projects focusing on prompt optimization, compliance, and ethical AI practices.
AI/ML Engineer at Eastern Illinois University
May 31, 2023 - July 31, 2025Built and deployed end-to-end machine learning pipelines for classification, regression, and time series forecasting using Python, TensorFlow, and PyTorch. Developed scalable NLP solutions using Hugging Face Transformers, spaCy, and NLTK. Implemented model training and hyperparameter tuning on AWS SageMaker. Created deep learning models for image and sequence processing and applied classical ML algorithms to solve real-world problems in healthcare and finance. Integrated ML models into RESTful APIs, containerized services, and automated MLOps workflows with MLflow and DVC. Conducted feature engineering, evaluated models using standard metrics, and collaborated with teams for cloud deployment and research exploratory analysis.
Data Scientist at HCL Tech
December 31, 2021 - July 31, 2025Developed predictive machine learning models using Scikit-learn, XGBoost, and LightGBM. Performed data preprocessing, cleaning, and feature engineering with Pandas, NumPy, and SQL. Built NLP pipelines for text classification and sentiment analysis. Created visualizations and dashboards for business insights. Applied time series forecasting and regression models for sales predictions. Developed and trained deep learning models for image and text data. Tuned models with GridSearchCV and cross-validation. Deployed models using Flask APIs and Docker on AWS EC2 and Heroku. Collaborated using Agile methodologies and managed projects with JIRA and Git.
Education
Master of Science in Technology at Eastern Illinois University
January 1, 2023 - May 31, 2023Master of Science at Eastern Illinois University
January 1, 2023 - December 31, 2023Master of Science at Eastern Illinois University
January 1, 2023 - December 31, 2023Master of Science at Eastern Illinois University
January 1, 2023 - December 31, 2023Qualifications
Industry Experience
Financial Services, Healthcare, Software & Internet, Professional Services, Education
Skills
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