Available to hire
I am a Backend/Full Stack Python Engineer with 4+ years of experience delivering enterprise-grade applications using FastAPI, Django, Flask, and cloud-native microservices. I build secure APIs, data-intensive systems, and AI/ML integrations. I am skilled with AWS (EKS, ECS, Lambda, RDS, S3, EC2, CloudWatch, API Gateway) and hybrid infrastructure with Terraform, Ansible, and GitHub Actions/Jenkins CI/CD. I have hands-on experience with LLM/AI/ML, including RAG pipelines, fine-tuning, and deploying inference services via FastAPI/Flask. I enjoy integrating AI/ML into full-stack apps with data preprocessing, distributed training, and real-time inference pipelines for enterprise-scale projects.
I thrive in Agile teams and bring strong DevOps fundamentals, real-time streaming (Kafka, Redis, Spark), ETL/ELT (Airflow, Spark), and data governance (HL7/FHIR, HIPAA) into product delivery. My background spans secure API design, serverless/event-driven architectures, and data visualization dashboards (React + D3). I am passionate about mentoring, async programming, debugging, and seamless AI integration to drive business impact.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Work Experience
Full Stack Developer at United Rentals
February 1, 2025 - PresentScaled FastAPI microservices for booking, billing, and fleet tracking; implemented high-concurrency APIs and real-time data pipelines using Kafka and Spark; deployed on AWS EKS with Terraform/CDK-based infrastructure; integrated IoT telemetry and LLM-powered contract parsing to extract financial and compliance insights; extended frontend modules with Angular/Redux; improved application performance with Redis caching and CloudFront; established end-to-end observability with New Relic and ELK; automated deployments with GitHub Actions and SonarQube; mentored junior engineers.
Research Engineer at St. Louis University
January 31, 2025 - September 22, 2025Developed end-to-end biomedical ML systems using PyTorch and TensorFlow on HPC and AWS GPU clusters; built Python ETL pipelines for biomedical, genomic, and clinical datasets with AWS Glue Data Catalog integration; deployed ML services via FastAPI/Flask for clinical dashboards; created interactive visualizations using React/D3; enabled GPU-accelerated training with CUDA and SageMaker; performed reproducible research with MLFlow and ablation studies; collaborated with robotics teams to integrate real-time biomedical sensor streams.
Python AI Engineer at Anthropic
May 31, 2024 - September 22, 2025Built FastAPI-based endpoints for Claude LLMs with HWT/OAuth2 authentication and adaptive batching for low-latency inference on AWS EKS; designed retrieval-augmented generation (RAG) pipelines with Pinecone/Weaviate; processed billions of multilingual documents with distributed Python pipelines; implemented distributed PyTorch training with mixed precision and sharding; engineered Spark+Kafka pipelines for multilingual corpora; ETL workflows loading unstructured chat logs into Snowflake for model fine-tuning; deployed services on GCP (GKE) and OpenShift with RBAC compliance; established full observability with New Relic, Prometheus, Grafana, CloudWatch; automated infrastructure provisioning with Terraform/CDK; authored internal Python SDKs for Claude integration; implemented safety checks and adversarial prompt regression tests.
Python Developer at IRIS Solutions
June 30, 2022 - September 22, 2025Built Django and FastAPI services, Spark and Airflow ETL pipelines, and AWS serverless workflows for secure, compliant trading and financial workflows; developed REST APIs and backend microservices; created ML-ready data pipelines for fraud detection and credit scoring by consolidating transactional data; collaborated with data science teams on predictive analytics models; delivered Angular/Redux frontends for reporting and compliance; engineered hybrid data pipelines with Snowflake and Redshift; orchestrated ETL with Airflow and Spark and ensured OAuth2/HWT security.
Software Developer at Metacube
June 30, 2021 - September 22, 2025Developed Django backend modules for authentication, real-time CRM migration, and integrations with payment processors; automated ETL pipelines to cleanse millions of CRM records; designed multi-tenant PostgreSQL/DynamoDB schemas with indexing and partitioning; delivered RESTful and GraphQL APIs for payments, Salesforce integration, and React apps; built event-driven microservices on AWS ECS/Lambda orchestrated by API Gateway; implemented CI/CD with Terraform, Ansible, and Bitbucket/GitHub Actions; established full-stack observability with New Relic, Splunk, and CloudWatch.
Full Stack Developer at United Rentals
February 1, 2025 - PresentLed the development of a full-stack rental lifecycle platform, integrating FastAPI microservices, Kafka streams, Spark processing, and AWS EKS. Implemented IoT insights and LLM-powered contract parsing to optimize fleet utilization and financial workflows. Scaled booking, billing, and fleet-tracking services for high concurrency and reliable API performance. Built LLM-powered contract parsing to extract financial and compliance insights, integrating outputs into operational and legal APIs. Designed Python pipelines for predictive fleet analytics using telematics data, enabling ML-driven maintenance alerts and utilization optimization. Ingested GPS telemetry via async endpoints and Kafka streams, feeding Spark and AWS Glue for real-time dashboards and analytics. Extended frontend modules with Angular/Redux for booking dashboards and fleet portals. Implemented Node.js middleware for internal integrations, improving routing and consistency. Integrated Snowflake and Redshift as analytics s
Research Engineer at St. Louis University
January 1, 2025 - September 22, 2025Developed end-to-end biomedical ML systems using PyTorch, TensorFlow, and MONAI, containerized for reproducibility and deployed on HPC and AWS GPU clusters for large-scale medical imaging analysis. Built Python ETL/preprocessing pipelines for biomedical, genomic, and clinical datasets, normalizing millions of patient records and cataloging schemas in AWS Glue Data Catalog. Created deep learning models for MR/CT segmentation, disease prediction, and drug-response modeling, optimized with CUDA, SageMaker, and scalable GPU training. Exposed ML services via FastAPI/Flask for real-time integration into clinical dashboards and partner systems. Delivered interactive visualizations with React/D3.js/Recharts/VTK for exploring patient trends and 3D imaging outputs. Conducted ML experiments with PyTorch/TensorFlow, including hyperparameter tuning and MLflow-based reproducibility. Deployed services on Google Cloud Functions and orchestrated ETL workflows with Airflow, AWS Glue, S3, and Redshift, e
Python AI Engineer at Anthropic
May 1, 2024 - September 22, 2025Developed FastAPI-based LLM endpoints, RAG pipelines, and Spark + Kafka preprocessing for enterprise AI workloads. Containerized on AWS EKS with Terraform/CDK automation and GitOps deployments via ArgoCD, with full observability. Built endpoints for Claude LLMs with OAuth2 authentication, adaptive batching, and low-latency inference. Designed retrieval-augmented generation (RAG) pipelines using Pinecone and Weaviate for secure enterprise Q&A with sub-100ms latency and custom embedding workflows. Created large-scale Python pipelines for preprocessing billions of multilingual documents for LLM training (Claude 2/3), including tokenization, deduplication, and distributed I/O. Implemented distributed PyTorch training with mixed precision, gradient accumulation, and sharding. Built Spark + Kafka pipelines for multilingual corpora preprocessing, including deduplication, tokenization, and entity resolution. ETL workflows load unstructured chat logs into Snowflake for model fine-tuning/evaluat
Python Developer at IRIS Solutions
June 1, 2022 - September 22, 2025Developed Django and FastAPI services, Spark and Airflow ETL pipelines, and AWS serverless workflows for trading and financial compliance. Built REST APIs and backend microservices in Python/Node.js for trading, onboarding, and payment validation, securing transactions with OAuth2/HWT. Created ML-ready data pipelines for fraud detection and credit scoring by consolidating transactional data from APIs and partner systems. Collaborated with data science teams to implement predictive analytics models for loan defaults and customer risk scoring using Python and SageMaker/MLflow. Built Angular/Redux frontends for reporting dashboards and compliance portals. Engineered hybrid data pipelines storing processed trade data in Snowflake alongside Redshift for analytics. Orchestrated ETL pipelines with Airflow and Spark for data from Oracle Exadata, Redshift, MongoDB, and external sources. Automated Terraform/CloudFormation-driven infrastructure across EC2/Lambda/RDS/S3 with CI/CD via Bitbucket an
Software Developer at Metacube
June 1, 2021 - September 22, 2025Developed Django services, PostgreSQL and DynamoDB schemas, and AWS microservices to enable secure, real-time CRM migration for enterprise clients. Built Django backend modules for authentication, provisioning, and real-time synchronization pipelines for multi-tenant operations. Automated ETL pipelines to cleanse and normalize millions of CRM records for ML-driven insights. Created reproducible Python workflows for multi-tenant datasets for analytics and ML reporting dashboards. Modeled and optimized PostgreSQL/DynamoDB schemas with indexing, caching, and partitioning for high performance. Delivered RESTful and GraphQL APIs for integrations with payment processors, Salesforce Marketing Cloud, and React apps. Built event-driven microservices on AWS ECS/Lambda, orchestrated via API Gateway, with Celery for long-running tasks. Implemented Terraform/Ansible-based infrastructure provisioning and deployed across EC2/RDS/S3 with auto-scaling and CloudWatch monitoring. Implemented CI/CD via Gi
Full Stack Developer at United Rentals
February 1, 2025 - PresentBuilt a full-stack rental lifecycle platform integrating FastAPI, Kafka, Spark, AWS EKS, IoT insights, and LLM-powered contract parsing to optimize fleet utilization and financial workflows. Scaled FastAPI microservices for booking, billing, and fleet tracking, handling high-concurrency operations and ensuring reliable API performance. Designed Python pipelines for predictive fleet analytics using IoT telemetry, enabling AI-driven maintenance alerts and utilization optimization. Ingested GPS-enabled IoT telemetry via async endpoints and Kafka streams, feeding Spark and AWS Glue pipelines for real-time dashboards and predictive analytics. Extended frontend modules with Angular and Redux for customer booking dashboards and fleet management portals. Developed Node.js middleware for internal integrations, improving routing and operational consistency across services. Integrated Snowflake and Redshift as analytics sinks, with metadata and schemas documented in AWS Glue Data Catalog for cons
Research Engineer at St. Louis University
January 31, 2025 - September 22, 2025Developed end-to-end biomedical ML systems with PyTorch, TensorFlow, and MONAI, containerized for reproducibility and deployed on HPC and AWS GPU clusters, enabling large-scale medical imaging analysis and clinical research integration. Built Python pre-processing and ETL pipelines for biomedical, genomic, and clinical datasets, normalizing millions of patient records with HL7/FHIR standards and cataloguing schemas in AWS Glue Data Catalog for consistent discovery. Developed deep learning models for MRI/CT segmentation, classification, disease prediction, and drug-response modeling, optimized with CUDA acceleration, SageMaker, and scalable GPU training. Exposed ML services via FastAPI and Flask for real-time integration into clinical dashboards and partner systems, supporting research workflows and visualization pipelines. Delivered interactive visualization tools using React, D3.js, Recharts, and VTK for exploring patient-level trends and 3D medical imaging outputs. Implemented ML exp
Python AI Engineer at Anthropic
May 31, 2024 - September 22, 2025Developed FastAPI-based LLM endpoints, RAG pipelines, and Spark + Kafka pre-processing systems, containerized on AWS EKS with Terraform/CDK automation, GitOps deployments, and full observability for enterprise AI workloads. Built and deployed FastAPI endpoints for Claude LLMs with JWT/OAuth2 authentication, adaptive batching, and low-latency inference on AWS EKS, using Helm and ArgoCD for GitOps-driven deployments. Designed retrieval-augmented generation (RAG) pipelines with Pinecone and Weaviate, enabling secure enterprise Q&A with sub-100ms latency and custom embedding workflows. Developed large-scale Python pipelines for pre-processing billions of multilingual documents for LLM training (Claude 2/3), including tokenization, deduplication, and parallelized distributed I/O. Implemented distributed PyTorch training scripts with mixed-precision, gradient accumulation, and sharding strategies to improve convergence and compute efficiency. Engineered Spark + Kafka pipelines for multilingu
Python Developer at IRIS Solutions
June 30, 2022 - September 22, 2025Developed Django and FastAPI services, Spark and Airflow ETL pipelines, and AWS serverless workflows to deliver secure, compliant, and scalable solutions for trading and financial compliance. Built REST APIs and backend microservices in Python and Node.js for trading, onboarding, and payment validation workflows, securing transactions with OAuth2/JWT. Created ML-ready data pipelines for fraud detection and credit scoring by consolidating transactional data from APIs, partner systems, and flat files, ensuring high-quality structured datasets. Collaborated with data science teams to implement predictive analytics models for loan defaults and customer risk scoring using Python and SageMaker/MLflow. Developed Angular and Redux frontends for reporting dashboards and compliance portals, ensuring responsive user experiences. Engineered hybrid data pipelines storing processed trade and claims data in Snowflake alongside Redshift, providing unified access for analytics and ML teams. Orchestrate
Software Developer at Metacube
June 30, 2021 - September 22, 2025Developed Django services, PostgreSQL and DynamoDB schemas, and AWS microservices to enable secure, real-time CRM migration for enterprise clients. Built Django backend modules for authentication, user provisioning, and real-time synchronization pipelines for multi-tenant operations. Automated ETL pipelines to cleanse and normalize millions of CRM records for ML-driven insights. Created reproducible Python workflows to prepare multi-tenant datasets for downstream analytics and AI-based reporting dashboards. Modeled PostgreSQL and DynamoDB (single-table design) schemas with indexing, caching, and partitioning to improve responsiveness for large datasets. Delivered RESTful and GraphQL APIs for integrations with payment processors, Salesforce Marketing Cloud, and React applications. Engineered event-driven microservices on AWS ECS and Lambda, orchestrated via API Gateway, and automated heavy background tasks with Celery. Implemented CI/CD pipelines using Jenkins and GitHub Actions with au
Education
Qualifications
Industry Experience
Software & Internet, Professional Services, Financial Services, Healthcare, Education
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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