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@enamhussain1
Senior Python full‑stack engineer delivering scalable cloud and ML solutions.
I am a Senior Python Full Stack Engineer with 12 years of experience building large-scale applications across healthcare, finance, and cloud platforms. I specialize in Python frameworks (Django, Flask, FastAPI) and modern front-end stacks like React and TypeScript.
I design and deploy cloud-agnostic, secure architectures across AWS, Azure, and GCP, including serverless remediation controls and multi-cloud high-availability microservices. I lead cross-functional teams and have driven reductions in manual audits and release errors while improving availability and latency.
My work includes building event-driven pipelines with Kafka, Spark, and Airflow, optimizing Elasticsearch at scale, and integrating ML models (PyTorch, scikit-learn) for computer vision, NLP, and fraud detection. I have delivered production systems processing millions of transactions with strong compliance (SOC2, HIPAA, SOX).
I am results-oriented, focused on automation, CI/CD, and cloud security, and I prioritize measurable impact—reducing audit preparation time, cutting false positives, and improving system reliability for enterprise users.
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Work history, roles, and key accomplishments
CVS Health
Apr 2023 - Present (2 years 7 months)
Designed and deployed a cloud-agnostic corrective control framework across AWS, Azure, and GCP, automating detection and remediation of compliance/security violations and reducing manual audits by 40%. Built Django/Flask/FastAPI backend APIs and scalable microservices to support 20 product teams and improved log search latency by 50%.
Morgan Stanley
Aug 2020 - Mar 2023 (2 years 7 months)
Led backend/API development for the Shareworks equity compensation platform, building microservices and Kafka pipelines that processed millions of equity transactions daily with 99.9% uptime and reduced developer onboarding time by 25%.
Principal Financial Group
May 2018 - Jun 2020 (2 years 1 month)
Developed ML models in PyTorch that reduced fraud false positives by 15% and modernized legacy retirement/insurance systems to Python microservices, cutting data latency by 40% via Kafka/Spark/Airflow pipelines.
Humana
Feb 2013 - Aug 2015 (2 years 6 months)
Developed Django/Flask services and AngularJS frontends for healthcare eligibility, claims, and enrollment workflows, created Kafka/Spark ETL pipelines that halved batch job times and reduced support tickets by 25%.
Degrees, certifications, and relevant coursework
Master of Science, Computer Science
2010 - 2011
Completed a Master of Science in Computer Science, focusing on scalable architectures, AI/ML integration, and cloud-native services.
Bachelor of Science, Computer Science
2006 - 2010
Completed a Bachelor of Science in Computer Science with coursework and projects in software engineering, distributed systems, and databases.
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