Rizz Policy New York, NY Lead Software Engineer 2/10/2022–12/23/2024 Designed and implemented secure, scalable AWS cloud platforms, improving backend throughput by 30% by leveraging IAM, API Gateway, Lambda, RDS, and S3 with least privilege access controls. Led cloud native microservices architecture, reducing deployment time by 50% by containerizing services with Docker and orchestrating workloads on ECS and Kubernetes aligned patterns. Implemented multi account AWS governance, improving security posture by 35% by standardizing IAM roles, policies, and environment isolation aligned with enterprise compliance requirements. Automated CI/CD pipelines, increasing release reliability by 30% by integrating Jenkins-style workflows, infrastructure validation, and policy as code checks. Championed infrastructure-as-code adoption, improving environment consistency by 40% by codifying AWS resources using repeatable, version controlled provisioning patterns. Designed event driven architectures, reducing system coupling by 25% by integrating asynchronous processing with SNS/SQS style messaging and resilient worker patterns. FactSet New York, NY Software Engineer 3/9/2020 –12/23/2021 Integrated observability and audit logging, reducing MTTR by 30% by instrumenting Cloud watch metrics, structured logs, and traceable execution paths. Built and secured REST and GraphQL APIs, improving client performance by 25% by enforcing IAM based authentication, authorization boundaries, and API Gateway throttling. Automated ETL and analytics pipelines, increasing reporting efficiency by 40% by orchestrating Spark based transformations and cloud native storage integrations. Designed and deployed ML enabled services, improving inference response times by 35% by serving SageMaker trained models through IAM secured Lambda endpoints. Implemented asynchronous processing frameworks, reducing end to end latency by 25% by integrating Celery style workers and distributed caching patterns. Led production incident response, reducing repeat failures by 20% by driving root cause analysis, postmortems, and resiliency focused design changes.

Jamie Abdiev

Rizz Policy New York, NY Lead Software Engineer 2/10/2022–12/23/2024 Designed and implemented secure, scalable AWS cloud platforms, improving backend throughput by 30% by leveraging IAM, API Gateway, Lambda, RDS, and S3 with least privilege access controls. Led cloud native microservices architecture, reducing deployment time by 50% by containerizing services with Docker and orchestrating workloads on ECS and Kubernetes aligned patterns. Implemented multi account AWS governance, improving security posture by 35% by standardizing IAM roles, policies, and environment isolation aligned with enterprise compliance requirements. Automated CI/CD pipelines, increasing release reliability by 30% by integrating Jenkins-style workflows, infrastructure validation, and policy as code checks. Championed infrastructure-as-code adoption, improving environment consistency by 40% by codifying AWS resources using repeatable, version controlled provisioning patterns. Designed event driven architectures, reducing system coupling by 25% by integrating asynchronous processing with SNS/SQS style messaging and resilient worker patterns. FactSet New York, NY Software Engineer 3/9/2020 –12/23/2021 Integrated observability and audit logging, reducing MTTR by 30% by instrumenting Cloud watch metrics, structured logs, and traceable execution paths. Built and secured REST and GraphQL APIs, improving client performance by 25% by enforcing IAM based authentication, authorization boundaries, and API Gateway throttling. Automated ETL and analytics pipelines, increasing reporting efficiency by 40% by orchestrating Spark based transformations and cloud native storage integrations. Designed and deployed ML enabled services, improving inference response times by 35% by serving SageMaker trained models through IAM secured Lambda endpoints. Implemented asynchronous processing frameworks, reducing end to end latency by 25% by integrating Celery style workers and distributed caching patterns. Led production incident response, reducing repeat failures by 20% by driving root cause analysis, postmortems, and resiliency focused design changes.

Available to hire

Rizz Policy New York, NY
Lead Software Engineer 2/10/2022–12/23/2024
Designed and implemented secure, scalable AWS cloud platforms, improving backend throughput by 30% by leveraging IAM, API Gateway, Lambda, RDS, and S3 with least privilege access controls.
Led cloud native microservices architecture, reducing deployment time by 50% by containerizing services with Docker and orchestrating workloads on ECS and Kubernetes aligned patterns.
Implemented multi account AWS governance, improving security posture by 35% by standardizing IAM roles, policies, and environment isolation aligned with enterprise compliance requirements.
Automated CI/CD pipelines, increasing release reliability by 30% by integrating Jenkins-style workflows, infrastructure validation, and policy as code checks.
Championed infrastructure-as-code adoption, improving environment consistency by 40% by codifying AWS resources using repeatable, version controlled provisioning patterns.
Designed event driven architectures, reducing system coupling by 25% by integrating asynchronous processing with SNS/SQS style messaging and resilient worker patterns.
FactSet New York, NY
Software Engineer 3/9/2020 –12/23/2021
Integrated observability and audit logging, reducing MTTR by 30% by instrumenting Cloud watch metrics, structured logs, and traceable execution paths.
Built and secured REST and GraphQL APIs, improving client performance by 25% by enforcing IAM based authentication, authorization boundaries, and API Gateway throttling.
Automated ETL and analytics pipelines, increasing reporting efficiency by 40% by orchestrating Spark based transformations and cloud native storage integrations.
Designed and deployed ML enabled services, improving inference response times by 35% by serving SageMaker trained models through IAM secured Lambda endpoints.
Implemented asynchronous processing frameworks, reducing end to end latency by 25% by integrating Celery style workers and distributed caching patterns.
Led production incident response, reducing repeat failures by 20% by driving root cause analysis, postmortems, and resiliency focused design changes.

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Work Experience

Lead Software Engineer
February 10, 2022 - December 23, 2024
Designed and implemented AI driven recommendation services, improving decision accuracy by 30% by building Python-based rule engines and ML backed APIs for domain specific recommendations. Built scalable cloud backends, increasing system throughput by 30% by deploying Python services on AWS (Lambda, API Gateway, S3, RDS) with real time request handling. Integrated ML models into production APIs, reducing response latency by 35% by serving TensorFlow-based models via containerized AWS Lambda workflows. Automated data validation and preprocessing pipelines, reducing input errors by 25% by normalizing and enforcing schema checks on multi-source data sets. Designed extensible system architectures, accelerating feature iteration by 40% by modularizing microservices with Docker and clear API contracts. Implemented asynchronous processing pipelines, reducing computation time by 25% by integrating Celery and Redis for background model inference and rule evaluation.
Software Engineer at FactSet
March 9, 2020 - December 23, 2021
Built secure, high-availability APIs, improving reliability by 40% by configuring API Gateway, load balancing, and caching strategies. Integrated LLM powered components, increasing analytical coverage by 40% by orchestrating prompt-driven workflows using Amazon Bedrock for structured decision support. Collaborated with cross-functional domain experts, reducing rework by 20% by translating complex business rules into deterministic logic and ML features. Developed user facing interfaces, increasing engagement by 25% by integrating React and TypeScript client with GraphQL and FastAPI backends. Implemented end-to-end monitoring and logging, improving issue detection by 30% by instrumenting cloud native metrics across AI inference and data pipelines. Documented system architecture and ML workflows, reducing onboarding time by 20% by maintaining clear technical specifications and iteration guides.
Software Risk Engineer at Korea Development Bank
August 1, 2011 - July 1, 2015
Analyzed internal financial transaction data using Python and Tableau for data visualization, updated and maintained risk models, and collaborated with Ops teams to track key performance indicators (KPIs) for model accuracy and effectiveness. Used Python (Pandas, NumPy, SciPy, Matplotlib), R, Bloomberg Terminal, and SQL to assess risk exposure in government and corporate bonds by analyzing external market trends and interest rate fluctuations, supporting trading decisions and ensuring regulatory compliance. Built ETL pipelines using Apache Airflow, Python (Pandas), Kafka, and Linux-based services to ingest multi-source bond market data, auto-updating the Vue frontend for real-time risk exposure tracking and faster regulatory compliance.

Education

Master of Information Systems Management (MISSM) at Carnegie Mellon University
August 13, 2018 - December 18, 2019
Master of Business Administration at Eastern Illinois University
August 17, 2015 - July 21, 2018
Bachelor's Degree in Information Systems & Banking at Tashkent Financial Institute
September 2, 2009 - June 21, 2013

Qualifications

AWS Certified Developer - Associate
January 11, 2030 - February 1, 2026
Azure Data Engineer Associate
January 11, 2030 - February 1, 2026

Industry Experience

Software & Internet