I am a Senior Data Scientist and GenAI Engineer with 10+ years of experience delivering end-to-end ML, NLP, and Generative AI solutions across real estate, healthcare, financial services, and telecom domains. I translate complex data into actionable business insights and I specialize in scalable ML platforms, LLM fine-tuning (LoRA, PEFT, SFT), and enterprise AI workflows in cloud environments. I enjoy building reliable, governance-driven AI systems that deliver measurable impact. I design agentic AI workflows using LangChain, LangGraph, MCP, and multi-agent orchestration to integrate with enterprise tools, APIs, and knowledge repositories. I lead RAG pipelines, prompt experimentation, and model evaluation while ensuring security, compliance, and operational excellence. I’m passionate about mentoring teams and driving GenAI adoption across diverse business domains.…

Praveen Reddy D

I am a Senior Data Scientist and GenAI Engineer with 10+ years of experience delivering end-to-end ML, NLP, and Generative AI solutions across real estate, healthcare, financial services, and telecom domains. I translate complex data into actionable business insights and I specialize in scalable ML platforms, LLM fine-tuning (LoRA, PEFT, SFT), and enterprise AI workflows in cloud environments. I enjoy building reliable, governance-driven AI systems that deliver measurable impact. I design agentic AI workflows using LangChain, LangGraph, MCP, and multi-agent orchestration to integrate with enterprise tools, APIs, and knowledge repositories. I lead RAG pipelines, prompt experimentation, and model evaluation while ensuring security, compliance, and operational excellence. I’m passionate about mentoring teams and driving GenAI adoption across diverse business domains.…

Available to hire

I am a Senior Data Scientist and GenAI Engineer with 10+ years of experience delivering end-to-end ML, NLP, and Generative AI solutions across real estate, healthcare, financial services, and telecom domains. I translate complex data into actionable business insights and I specialize in scalable ML platforms, LLM fine-tuning (LoRA, PEFT, SFT), and enterprise AI workflows in cloud environments. I enjoy building reliable, governance-driven AI systems that deliver measurable impact.

I design agentic AI workflows using LangChain, LangGraph, MCP, and multi-agent orchestration to integrate with enterprise tools, APIs, and knowledge repositories. I lead RAG pipelines, prompt experimentation, and model evaluation while ensuring security, compliance, and operational excellence. I’m passionate about mentoring teams and driving GenAI adoption across diverse business domains.

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Work Experience

Senior Data Scientist / Gen AI Engineer at CBRE
December 1, 2023 - Present
Designed and implemented machine learning solutions to support commercial real estate analytics, property portfolio management, occupancy forecasting, and asset performance optimization across enterprise real estate operations. Built scalable data pipelines and feature engineering frameworks to process large volumes of structured and semi-structured data. Implemented MCP-based integrations enabling AI agents to securely communicate with enterprise applications, APIs, internal knowledge repositories, and business tools. Developed Agentic AI workflows with LangGraph, LangChain, and MCP to orchestrate multi-step reasoning, document retrieval, tool execution, and automated decision-support while maintaining governance and security. Established AKS-based deployment, model monitoring, drift detection, and automated retraining via CI/CD pipelines. Collaborated with cross-functional teams to translate requirements into scalable AI/ML solutions.
Data Scientist at McKinsey
May 1, 2022 - November 30, 2023
Developed scalable data pipelines on AWS using AWS Glue and Apache Spark to support ingestion, transformation, and analysis of high-volume healthcare and insurance datasets. Built NLP pipelines (Hugging Face Transformers, SpaCy) for clinical notes and policy documents, including NER models, text classification, summarization, and topic modeling. Explored early LangChain-based retrieval and QA workflows over healthcare documents and implemented Elasticsearch-based search for enterprise knowledge access. Performed comprehensive model evaluation, feature engineering, and governance for production-ready analytics.
ML Engineer at AT&T
September 1, 2019 - December 31, 2021
Designed and deployed batch and near real-time data pipelines using Azure Databricks to process telecom network events and customer interaction data. Built churn prediction, anomaly detection, and fraud detection models; implemented time-series forecasting for network capacity planning; applied SHAP for model interpretability. Containerized ML workloads with Docker, orchestrated on AKS, and developed Power BI dashboards for KPI monitoring. Implemented model lifecycle management with versioning and retraining pipelines.
ML Analyst at HDFC
May 1, 2017 - August 31, 2019
Designed and maintained ETL/ELT pipelines, processed large banking and financial datasets, and performed feature engineering for classification, regression, clustering, and time-series forecasting. Built anomaly detection and risk analytics models, and delivered Power BI dashboards for regulatory reporting and business insights. Collaborated with domain experts to translate requirements into scalable analytics solutions and conducted rigorous model evaluation and validation.
NLP Engineer at CSS Corp Pvt Ltd.
December 1, 2015 - April 30, 2017
Processed and cleaned large volumes of unstructured text, engineered TF-IDF, BOW, and n-gram features for text classification and sentiment analysis. Developed NLP pipelines, NER patterns, and LDA topic modeling; built data pipelines and dashboards to support customer service analytics and reporting.

Education

Bachelor of Engineering in Computer Science and Engineering at JNTU, Hyderabad
January 11, 2030 - June 30, 2026

Qualifications

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