Available to hire
I am an AI/ML engineer with 10+ years of experience designing, building, and deploying production-grade AI systems across healthcare, retail, and enterprise domains. I specialize in end-to-end AI solutions, including GenAI, LLM-based platforms, and responsible AI practices.
I have deep hands-on experience with Retrieval-Augmented Generation (RAG), multi-modal data, MLOps/LLMOps, and scalable inference. I collaborate with product, clinical, and compliance teams to deliver measurable impact while ensuring privacy, governance, and auditability.
Language
English
Advanced
Work Experience
Data Scientist (GenAI and AI/ML Engineer) at Blue Cross Blue Shield of Michigan
January 1, 2024 - PresentDesigned and deployed AI and Generative AI solutions to support healthcare risk analytics, care management, fraud detection, and operational intelligence in a regulated payer environment. Built member risk stratification, utilization prediction, readmission risk, and anomaly detection models using XGBoost, Prophet, Isolation Forests, and Autoencoders to identify high-risk members and enable proactive interventions. Developed LLM-powered summarization and classification pipelines to convert unstructured clinical notes, claims narratives, and investigations into clinician- and analyst-ready insights. Implemented retrieval-augmented generation (RAG) with FAISS vector stores and embeddings to enable secure semantic search and contextual Q&A over claims data, policy documents, and clinical guidelines. Fine-tuned transformer NLP models (BERT variants, mBERT, XLM-RoBERTa) for clinical classification and multilingual analysis. Built explainability and governance frameworks using SHAP and Fiddl
AI Engineer – GenAI, ML & Enterprise AI Platforms at Concentrix
December 1, 2020 - December 1, 2023Designed and delivered enterprise-scale AI and Generative AI solutions for customer experience automation, decision intelligence, and document understanding. Built LLM-powered applications with GPT-based models, LangChain, LangSmith, and Ollama for text summarization, classification, semantic search, and contextual Q&A over enterprise datasets. Implemented Retrieval-Augmented Generation pipelines with FAISS, Pinecone, and Chroma, focusing on grounding, reducing hallucinations, and faster responses. Developed agentic AI workflows using LangChain and LangGraph to orchestrate multi-step reasoning, tool invocation, and decision flows. Applied prompt engineering, versioning, and evaluation using PromptLayer and TruLens to improve reproducibility and governance. Built supervised and unsupervised ML models (Scikit-learn, XGBoost, LightGBM, Random Forest) for customer behavior prediction and optimization. Implemented time-series forecasting (ARIMA, SARIMA, Holt-Winters, Prophet, LSTM) to suppo
Machine Learning Engineer at Target
March 1, 2018 - November 1, 2020Designed end-to-end ML pipelines for retail, including sales forecasting, inventory optimization, customer segmentation, and promotion effectiveness across Target's omnichannel ecosystem. Built models for customer behavior and product affinity using Python, SQL, and Spark to enable data-driven personalization and assortment decisions. Developed time-series forecasts for sales and inventory with ARIMA/SARIMA/Prophet/LSTM, improving replenishment accuracy and reducing stockouts. Engineered scalable feature pipelines with Azure Data Factory, Databricks, and PySpark; designed ETL workflows to load data from SQL Server, Teradata, and Salesforce into Azure SQL Data Warehouse. Implemented data validation, reconciliation, and data quality checks to ensure analytics integrity. Built near real-time ingestion via Azure Functions and Event Hubs for timely operational reporting and ML inference. Created dimensional data models (star/snowflake) to support KPIs such as product velocity, inventory tur
Data Analyst at Hexagon
January 1, 2016 - February 1, 2018Supported fraud monitoring and regulatory teams by preparing and validating fraud analytics reports; analyzed large volumes of interbank transaction data to identify anomalies, high-risk activity, and data inconsistencies; built and maintained fraud/regulatory datasets via SQL/PLSQL; performed data validation, reconciliation, and root-cause analysis by tracing data lineage; documented business rules, KPIs and data definitions to support audits; automated recurring reporting tasks using UNIX shell scripts; contributed to data quality initiatives; gained exposure to financial crime analytics, regulatory reporting, and risk management in a controlled environment.
Education
Master of Science in Computer Science at University of Central Missouri, Warrensburg, MO, USA
January 11, 2030 - December 1, 2015Bachelor of Engineering in Information Technology at Malla Reddy Engineering College, Hyderabad, Telangana, India
January 11, 2030 - May 1, 2014Master of Science in Computer Science at University of Central Missouri
January 11, 2030 - December 1, 2015Bachelor of Engineering in Information Technology at Malla Reddy Engineering College, Hyderabad, Telangana, India
January 11, 2030 - May 1, 2014Qualifications
Generative artificial intelligence (AI) models in Azure Machine Learning
January 11, 2030 - February 16, 2026Microsoft Certified: Azure AI Fundamentals
January 11, 2030 - February 16, 2026Azure AI Fundamentals
January 11, 2030 - February 16, 2026Generative AI models in Azure Machine Learning
January 11, 2030 - February 16, 2026Industry Experience
Healthcare, Retail, Software & Internet, Professional Services
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