Dedeepya DSenior Generative AI & Python
Available to hire
Senior Generative AI Engineer | Python Full Stack Engineer | AWS Bedrock | RAG | AI Agents | LangChain | FastAPI | AWS Cloud
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Work Experience
Gen AI Engineer at Fidelity Investment
September 1, 2024 - PresentDeveloped enterprise-grade generative AI applications using Python, FastAPI, AWS Bedrock, and LangChain for portfolio analytics, investment research, and advisor productivity. Designed RAG architectures using Amazon OpenSearch and vector embeddings for improved contextual accuracy. Integrated Claude, Llama, and Bedrock foundation models for summarization, document analysis, risk interpretation, and knowledge extraction. Built MCP-based integrations to let agents securely access enterprise APIs and knowledge repositories via standardized tool interfaces. Implemented FastAPI microservices and REST APIs for agent orchestration, document retrieval, and enterprise search. Created agent workflows that call portfolio, market, and research APIs for context-aware responses. Built scalable ingestion pipelines using AWS Glue, PySpark, Pandas, and S3 to transform financial documents into vectorized assets. Implemented semantic search with OpenSearch k-NN indexing for low-latency retrieval. Added p
Sr. Python Full Stack Developer at Cox Communications
June 1, 2021 - August 31, 2024Modernized customer engagement, subscription management, and billing using Python, FastAPI, Django, and React. Built secure REST APIs with FastAPI and DRF for integrations across customer portals, billing, payments, and provisioning. Developed responsive React dashboards for accounts, billing, payments, subscriptions, and analytics. Designed microservices for onboarding, activation, account management, and subscription lifecycle workflows using Python and AWS. Conducted early NLP/AI evaluations (transformer models, prompt engineering) for support automation and knowledge retrieval. Implemented AI-assisted support features such as intent classification, ticket categorization, response generation, and summarization. Added semantic search using vector embeddings and OpenSearch. Built ingestion/reporting pipelines using AWS Glue, S3, and PostgreSQL. Implemented event-driven workflows using Kafka, Celery, Redis, SQS, and SNS for asynchronous business processing. Containerized services with
Sr. Python Full Stack Developer at Johnson and Johnson
June 1, 2019 - May 31, 2021Developed secure healthcare applications using Python, Flask, and Django for patient data management, clinical workflows, and analytics in HIPAA-compliant environments. Built REST APIs using Flask and DRF for integration between clinical systems and internal platforms. Created responsive web UI in React and JavaScript technologies for real-time clinician access. Built microservices with Python and Django to improve modularity and deployment flexibility. Implemented event-driven processing with Kafka and Celery for asynchronous handling of patient records, notifications, and reporting. Developed data ingestion/validation/transformation pipelines to improve dataset reliability. Optimized PostgreSQL and MongoDB with schema design, indexing, and query tuning. Integrated AWS (EC2, S3, RDS, Lambda, API Gateway) for scalable infrastructure. Improved background automation using Redis and Celery. Implemented security controls including RBAC and encrypted handling of sensitive data. Automated CI
Python Developer at Amazon
March 1, 2015 - October 31, 2018Contributed to backend development using Python and Django for retail operations including inventory management, order processing, and supply chain workflows. Designed REST APIs for secure communication among inventory, fulfillment, reporting, and warehouse management systems. Collaborated with product teams to implement scalable order lifecycle management and operational reporting. Built modular Django/Python services to improve reusability across business functions. Enhanced data processing and reporting using Python, SQL, and stored procedures for high-volume datasets. Designed and optimized PostgreSQL/MySQL structures with indexing and performance tuning. Developed MongoDB data models for inventory tracking and shipment processing. Implemented asynchronous processing with Celery and Redis for reconciliation, scheduled notifications, and background jobs. Integrated AWS (EC2, S3, RDS, Lambda, Elastic Beanstalk) for hosting and storage. Automated builds and deployments using Jenkins a
Software Developer at Chubb Insurance
June 1, 2014 - January 31, 2015Enhanced commercial insurance policy administration applications using Python and Django across underwriting, policy issuance, endorsements, renewals, and billing. Implemented backend business logic for underwriting rules, premium calculations, policy validations, and claims workflows. Designed and optimized relational schemas in MySQL and Oracle for data integrity and performance on high-volume operations. Built secure web modules using HTML/CSS/JavaScript/jQuery/Bootstrap. Created REST and XML integration components for exchanging data between policy, claims, billing, and accounting systems. Automated renewal notifications and reporting using Python, shell scripting, and cron jobs. Implemented RBAC, authentication, and authorization within Django for enterprise security and compliance. Developed ETL/data validation using Python, SQL, XML, and CSV. Ensured quality via unit testing, Selenium testing, debugging, and code reviews with Jenkins/Git in Agile/Waterfall environments.
Education
Bachelor’s in Computer Science at KL University
January 11, 2030 - July 13, 2026Qualifications
AWS Certified Generative AI Developer – Professional
January 11, 2030 - July 13, 2026AWS Certified Developer - Associate
January 11, 2030 - July 13, 2026Industry Experience
Financial Services, Healthcare, Telecommunications, Other, Professional Services
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