Available to hire
Hi, I’m Mani Ladi. I am a Lead Data Scientist and ML Engineer with 11+ years of experience spanning data, software development, and AI architecture. I specialize in Statistical Methods, NLP, Deep Learning, and Generative AI, and I am proficient with cloud platforms (Azure, AWS, GCP) and API development.
I enjoy tackling challenging problems, stay detail-oriented, and am committed to stakeholder satisfaction and high-quality results. I code across languages (C++, Python, R, Java) and combine hands-on development with scalable architecture, MLOps, and AI governance to deliver reliable, impactful solutions.
Skills
Experience Level
Expert
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Language
English
Fluent
Work Experience
Agentic AI Scientist at Discover Bank
August 1, 2024 - PresentArchitected a GenAI multi-agent system to support banking operations. Designed a management agent to route queries to sub-agents (document retrieval/QA, data query, email drafting). Implemented inter-agent communication protocols and routing logic, plus a secure Context-Augmented Data Query sub-agent to access product and account data via approved APIs with strict access controls. Created an Email Drafting Agent with templated responses and human-in-the-loop approvals. Deployed containerized workloads on Azure Kubernetes Service, performed unit and end-to-end testing, enforced data encryption and access governance, and monitored performance with Azure Monitor and MLflow-based drift detection. Authored technical architecture docs and operator manuals. Prototyped with LangChain, LangGraph, and GPT-4o/4o-mini via Azure OpenAI Service, deployed on Azure Container Instances.
Research Data Scientist at CenterPoint Energy
May 1, 2022 - July 1, 2024Built a Retrieval-Augmented Generation (RAG) chatbot on AWS Bedrock, integrating Anthropic Claude LLMs for completions. Developed a document ingestion pipeline (PDFs, Word, HTML) and stored embeddings in a 1024-dimension vector space using Anthropic Voyage, with the vector store in AWS OpenSearch. Deployed LLM microservices via AWS SageMaker Endpoints and monitored performance with MLflow. Enabled secure internal data queries via APIs and implemented data encryption/compliance controls. Used EKS for container orchestration and SageMaker Pipelines for scalable ML workflows; automated CI/CD with AWS CodeCommit; produced technical documentation and upskilled teams.
Senior Data Scientist & ML Engineer at Pfizer
July 1, 2020 - April 1, 2022Led the development of a Knowledge Management System leveraging Generative AI and AWS-native services. Built a document ingestion pipeline for PDFs/Word/HTML, generated embeddings with Voyage, and stored them in AWS OpenSearch to enable semantic search. Architected a Retrieval-Augmented Generation (RAG) system using AWS Bedrock with Anthropic Claude LLMs for intelligent completions. Deployed LLM microservices via AWS SageMaker Endpoints with MLflow-based monitoring for validation and performance tracking. Ensured data privacy compliance and conducted internal training on Python, ML, and LLM architectures.
Senior Data Scientist at Coca-Cola
May 1, 2017 - June 1, 2020Created and deployed Marketing Mix Models (MMM) for six brands to quantify the impact of marketing channels on sales. Built demand forecasting models for regional markets, and developed price elasticity models. Applied NLP to extract consumer sentiment from unstructured data and integrated sentiment signals into forecasting and MMM. Built time-series forecasts using Prophet and ARIMA, and automated end-to-end pipelines for data ingestion, model training, and deployment. Visualized results with Tableau/Power BI and monitored model performance.
Data Scientist & ML Engineer at Allegiant Airlines
March 1, 2015 - April 1, 2017Designed and deployed end-to-end ML pipelines for demand forecasting, route optimization, and dynamic pricing. Built ETL pipelines for multi-source data, implemented time-series forecasting (ARIMA, Prophet, LSTM), and developed optimization models for crew scheduling and fuel efficiency. Containerized ML workflows with Docker and deployed via CI/CD to cloud platforms. Created dashboards for operational insights and established MLOps practices for monitoring and retraining.
Data Engineer at Accenture US
January 1, 2014 - February 1, 2015Led end-to-end data pipelines and visualization dashboards. Consolidated data from multiple sources into a Teradata data warehouse using Informatica PowerCenter. Performed Exploratory Data Analysis (EDA) with SQL and built executive dashboards in Tableau to monitor KPIs. Collaborated with cross-functional teams to translate business requirements into data-driven solutions.
Education
Master of Science, Applied Data Science at Indiana University, Indianapolis
January 11, 2030 - January 20, 2026Bachelor of Technology, Mechanical Engineering at Indiana University, Indianapolis
January 11, 2030 - January 20, 2026Qualifications
Industry Experience
Software & Internet, Financial Services, Energy & Utilities, Travel & Hospitality, Manufacturing, Professional Services, Media & Entertainment, Healthcare
Skills
Experience Level
Expert
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