Available to hire
I am a Sr. Python AI/ML Engineer and Full Stack Developer with 9+ years of experience designing and deploying intelligent, scalable, cloud-native applications. I thrive on turning complex data into practical solutions, building robust ML workflows, and delivering production-ready software that drives business impact.
I enjoy collaborating with product, data, and operations teams to ship reliable AI-powered features—from NLP pipelines and semantic search to multi-agent orchestration and real-time inference—while keeping a strong focus on scalability, security, and maintainability.
Work Experience
Sr. Python AI/ML & Full Stack Developer at BMO Financial Group
September 1, 2024 - PresentDesigned and developed AI-powered backend systems using Python, Django, Flask, FastAPI; integrated LLMs and ML pipelines into enterprise applications. Built semantic search systems with VectorDB (FAISS/Milvus/Chroma) for embedding-based recommendations and knowledge retrieval. Automated data pipelines with PySpark and AWS Glue for advanced feature engineering. Implemented multi-agent Generative AI workflows with LangGraph, and real-time model serving via AWS Lambda + API Gateway. Created React dashboards to visualize ML outputs and insights. Established CI/CD for ML deployments, including drift checks and monitoring.
Sr. Python AI/ML Engineer at HCA Healthcare
October 1, 2022 - August 1, 2024Built AI-driven healthcare solutions with Python, Flask, FastAPI, and asynchronous frameworks; orchestrated multi-agent clinical workflows using LangGraph. Developed ML/NLP pipelines (spaCy, BERT, Transformers, scikit-learn) to extract medical entities, automate patient notes, and classify unstructured data. Designed predictive models for readmission risk, patient triage, and operational forecasting with MLflow. Implemented FHIR-compliant AI APIs and semantic search using VectorDBs (Chroma/Weaviate). Created ETL pipelines with PySpark/AWS Glue for EMR data and performed data quality checks with Great Expectations.
Python Developer – AI/ML at Nordstrom
June 1, 2020 - September 1, 2022Built ML-enabled microservices for retail personalization using FastAPI + Python. Automated pricing, catalog enrichment, and inventory predictions; integrated ML-based product recommendations using embeddings with Elasticsearch. Built ETL pipelines for retail forecasting with Airflow + Snowflake and implemented real-time ML inference using Kafka & Kinesis. Deployed models to AWS Lambda/ECS and developed customer dashboards with React/Next.js to visualize model outputs.
Python Developer at PNC Financial Services
March 1, 2019 - May 1, 2020Developed secure, transaction-driven backend services using Django and FastAPI for core banking, credit risk, and data reporting. Automated compliance reporting and data reconciliation with Python, SQLAlchemy, and Pandas. Created API integrations with OAuth2/JWT/OpenAPI, designed stream-based data pipelines with Kafka/Spark Streaming and AWS SQS/SNS, and implemented async I/O with Celery. Built dashboards with Plotly Dash/Streamlit; implemented logging with ELK/CloudWatch; containerized services with Docker, Terraform, and AWS ECS; ensured PCI/HIPAA security using KMS. Supported Agile development processes.
Python/Django Developer at Accenture
August 1, 2016 - December 1, 2018Built internal automation tools and reusable Django modules to manage project metadata, configuration, and user activity. Automated data ingestion and validation scripts, designed XML/JSON schemas, and improved legacy Python performance via async features and caching. Created data visualization dashboards and contributed to CI/CD via Jenkins, Git, Ansible, and Docker. Ensured secure data handling and documented processes for onboarding and standardization.
Education
Bachelor of Technology in Electronics and Communication Engineering at KL University
January 1, 2012 - January 1, 2016Qualifications
Industry Experience
Financial Services, Healthcare, Retail, Professional Services, Software & Internet
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