Generative AI Engineer (Copilot Studio and Power Automate) at NRG Energy

Leading the design and delivery of enterprise Generative AI solutions using Microsoft Copilot Studio with multi-agent orchestration, integrating LLM-powered agents with Retrieval-Augmented Generation (RAG) across SharePoint and enterprise data sources to enable grounded, policy-compliant AI responses. Built transformer-based classification and evaluation agents using PyTorch, embedding similarity scoring, and Golden Dataset benchmarking to improve response quality and routing. Implemented AI inference services, event-driven automation, and containerized deployments across Dev/Test/Prod with governance and observability. Architected Copilot lifecycle management, including prompt design, evaluation frameworks, CI/CD deployments, and compliance controls. Designed multi-agent orchestration using Microsoft Agent SDK, enabling dynamic routing of user queries and backend integrations. Integrated Copilot with Power Automate, Custom Connectors, REST APIs, and Databricks/Data Lake platforms for

Software Platform Consultant (GenAI) at CVSAug

Designed and delivered real-time claims monitoring and fraud-detection platform using Python-based ETL/data pipelines, data lakehouse architecture, and multi-source data integration. Implemented object-oriented data models with SQLAlchemy ORM and Pydantic, and APIs (FastAPI + GraphQL) to unify data access. Automated ETL workflows with PySpark, Pandas, PyArrow; enforced schema validation with PyTest and Alembic. Built executive dashboards (React.js, Grafana, Power BI, Tableau) to visualize compliance KPIs and fraud alerts. Implemented multi-step fraud detection workflows using LangChain, FAISS, and ElasticSearch; automated compliance narratives via GPT-3.5/4 and RAG pipelines. Deployed microservices on Azure AKS, GCP GKE, and AWS EKS with Docker, Kubernetes, Istio, and Helm; automated CI/CD with GitHub Actions/GitLab CI/CD; monitored pipelines with Prometheus, Grafana, and Splunk.

Software Delivery Engineer at T-Mobile

Delivered real-time speech data processing and analytics platform supporting multilingual compliance monitoring and customer insights. Built OO data models with SQLAlchemy ORM and Pydantic, developed ETL pipelines with Pandas and PyArrow, persisted results in PostgreSQL, Cassandra, and AWS S3. Implemented FastAPI and GraphQL APIs to unify multimodal data, integrated Whisper, Hugging Face Transformers, and GPT-3.5/4 into analytics workflows, and delivered AI-enabled dashboards. Ensured scalability and compliance via Kubernetes, Docker, and CI/CD across AWS ECS/Lambda/EC2. Implemented multilingual noise filtering (Whisper) and retrieval/embedding pipelines for semantic search; monitored AI workflows with Prometheus and Grafana.

Sr. Software Engineer at Pramati Technologies

Architected pricing and inventory optimization platform using Python (Django, FastAPI) and Java (Spring Boot). Built OO data models with SQLAlchemy ORM + Pydantic, integrated PostgreSQL, Redshift, and DynamoDB; orchestrated ETL pipelines with AWS Glue, PySpark, Pandas, and PyArrow for analytics. Designed FastAPI + GraphQL APIs for pricing/anomaly detection, developed predictive models with Scikit-learn and Redis caching, and deployed microservices on AWS ECS Fargate, Docker, and Kubernetes. Delivered Angular dashboards and Power BI/Tableau visualizations; implemented LangChain-style orchestration to improve anomaly detection with embeddings and transformer models. Automated validation with PyTest, Alembic, Selenium, and JUnit; deployed with Terraform and CI/CD; monitored with CloudWatch and Prometheus.

Application Data Engineer at Thomson Reuters

Developed a large-scale legal document intelligence platform leveraging Python (FastAPI, Flask) and Java microservices for clause extraction, tagging, and classification. Used SQLAlchemy ORM + Pydantic for schema validation; built ETL pipelines with Pandas + PyArrow; partitioned PostgreSQL + Oracle; deployed on AWS (Lambda, SageMaker, Kinesis, S3, EC2, RDS) with Terraform + Ansible. Created real-time dashboards enriched with LLM tagging insights for compliance teams and built real-time APIs (FastAPI + GraphQL) to unify reporting with Salesforce datasets. Implemented GDPR workflows and audit-ready dashboards; monitored pipelines with Redis, Prometheus, CloudWatch.