Available to hire
Paragraph 1: I am a Senior AI/ML Engineer with 9 years of experience designing and deploying production-grade ML systems, generative AI applications, and cloud-based data platforms across retail, e-commerce, and healthcare. I specialize in building scalable pipelines, retrieval-augmented generation solutions, and AI assistants that empower product and operations teams while balancing cost and performance.
Paragraph 2: I thrive at the intersection of engineering, analytics, and product, delivering impactful forecasting, recommendation, and real-time analytics solutions. I enjoy collaborating with cross-functional teams to translate complex data challenges into reliable, user-friendly workflows and dashboards that support enterprise decision-making.
Skills
Language
English
Fluent
Work Experience
Senior AIML Engineer at Zoro.com (Grainger subsidiary)
August 1, 2022 - PresentLed the development of a cloud-native AI/ML platform on AWS unifying transactional, clickstream, inventory, and vendor data; reduced reporting and feature-processing latency from hours to under 20 minutes. Implemented RAG-based AI assistants and semantic search workflows using LangChain, LangGraph, OpenAI, Amazon Bedrock, MCP, and OpenSearch vector search. Built scalable ML pipelines with Spark Structured Streaming, Airflow, and dbt to support demand forecasting, recommendations, and operational analytics. Achieved 99.9% SLA and cut infrastructure costs by optimizing Redshift and Snowflake workloads; automated model deployment and retraining with MLflow, Docker, Kubernetes, Jenkins, Terraform, and GitHub Actions. Implemented data quality and observability using Great Expectations, Soda Core, Datadog, CloudWatch, and MLflow tracking, reducing production data incidents by 45%.
Senior AI/ML Engineer at Zoro.com (Grainger subsidiary)
August 1, 2022 - PresentBuilt a cloud-native AI/ML platform on AWS using Python, PySpark, Databricks, Redshift, Glue, and Snowflake to unify transactional, clickstream, inventory, and vendor data, reducing reporting and feature-processing latency from hours to under 20 minutes. Developed RAG-based AI assistants and semantic search workflows using LangChain, LangGraph, OpenAI, Amazon Bedrock, MCP, and OpenSearch vector search, enabling faster knowledge retrieval and reducing manual support investigation effort by 35%. Designed scalable ML and feature engineering pipelines with Spark Structured Streaming, Airflow, and dbt to support demand forecasting, recommendation systems, customer segmentation, and operational analytics across merchandising and supply chain teams. Improved platform performance and reduced annual infrastructure costs by $320K through Redshift and Snowflake query optimization, partitioning strategies, clustering design, and workload tuning while maintaining 99.9% SLA availability. Automated m
Data Scientist at Target
January 1, 2021 - July 1, 2022Built scalable ETL/ELT and ML feature pipelines using Python, PySpark, Snowflake, Hive, Airflow, and dbt to process clickstream, pricing, ERP, and customer behavior data, improving ingestion throughput by 40% for analytics and personalization workloads. Designed dimensional data models and reusable feature datasets in Snowflake using star schema, SCD Type 2, and CDC-based ingestion frameworks, helping Analytics and Data Science teams standardize KPIs and accelerate self-service reporting. Developed machine learning solutions with TensorFlow, PyTorch, and scikit-learn for recommendation systems, pricing optimization, customer segmentation, and conversion forecasting, contributing to a 15% increase in targeted campaign conversions. Implemented real-time streaming pipelines using Kinesis, Snowpipe, and AWS Lambda to process order and inventory events with under one-minute latency during peak retail traffic periods. Improved Snowflake performance and reduced compute costs by 30% through cl
Data Analyst/Analytical Engineer at Y-Prime
June 1, 2017 - December 1, 2020Analyzed large-scale EHR/HL7/FHIR data to identify trends in patient outcomes, provider performance, and utilization. Built healthcare analytics pipelines on AWS and Databricks using Spark SQL, Airflow, and ETL frameworks to transform raw clinical datasets into reporting-ready data marts. Developed dimensional models and KPI reporting layers with dbt and Databricks SQL, improving accessibility of care-management analytics. Created Tableau and Power BI dashboards for provider scorecards, claims analysis, patient engagement, and utilization reporting, reducing manual reporting turnaround by 40%. Automated data validation and reconciliation using Great Expectations and SQL-based quality controls, improving reporting accuracy and reducing defects. Ensured HIPAA-compliant workflows with PHI masking, RBAC, audit logging, and secure data handling across AWS and Databricks while collaborating with clinical, compliance, and analytics teams.
Data Analyst / Analytical Engineer at Y-Prime
June 1, 2017 - December 1, 2020Analyzed large-scale EHR, HL7, FHIR, CCD, and healthcare claims data using Python, SQL, PySpark, and Databricks to identify trends in patient outcomes, provider performance, and healthcare utilization patterns. Built healthcare analytics pipelines on AWS and Databricks using Spark SQL, Airflow, and ETL frameworks to transform raw clinical and claims datasets into reporting-ready data marts for operational and regulatory reporting. Developed dimensional data models and KPI reporting layers with dbt and Databricks SQL, improving accessibility of clinical and encounter analytics for care management and business operations teams. Created Tableau and Power BI dashboards for provider scorecards, claims analysis, patient engagement, and utilization reporting, reducing manual reporting turnaround time by 40%. Automated healthcare data validation and reconciliation checks using Great Expectations, Python, and SQL-based quality controls, improving reporting accuracy and reducing downstream data
Education
Master’s in Data Science at University of North Texas, TX
December 1, 2021 - May 1, 2022Bachelor’s in Computer Science at JNTU, India
August 1, 2014 - May 1, 2018Master’s in Data Science at University of North Texas, TX
December 1, 2021 - May 1, 2022Bachelor’s in Computer Science at JNTU, India
August 1, 2014 - May 1, 2018Qualifications
Industry Experience
Retail, Healthcare, Software & Internet, Professional Services, Media & Entertainment
Skills
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