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Software/AI engineering professional with experience building risk, trade monitoring, and data pipelines at scale, using modern cloud infrastructure and robust automation. Strong focus on low-latency systems, scalable ETL, and standards-aligned engineering across teams. Recent research experience applying reinforcement learning (epsilon-greedy multi-armed bandit scheduling) to enable more autonomous server routing in MCP systems, with measurable latency and variance improvements.…Software/AI engineering professional with experience building risk, trade monitoring, and data pipelines at scale, using modern cloud infrastructure and robust automation. Strong focus on low-latency systems, scalable ETL, and standards-aligned engineering across teams. Recent research experience applying reinforcement learning (epsilon-greedy multi-armed bandit scheduling) to enable more autonomous server routing in MCP systems, with measurable latency and variance improvements.

Shalini Maknoor

Software Engineer, DevOps Developer, Data Engineer, +1

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Software/AI engineering professional with experience building risk, trade monitoring, and data pipelines at scale, using modern cloud infrastructure and robust automation. Strong focus on low-latency systems, scalable ETL, and standards-aligned engineering across teams. Recent research experience applying reinforcement learning (epsilon-greedy multi-armed bandit scheduling) to enable more autonomous server routing in MCP systems, with measurable latency and variance improvements.…Software/AI engineering professional with experience building risk, trade monitoring, and data pipelines at scale, using modern cloud infrastructure and robust automation. Strong focus on low-latency systems, scalable ETL, and standards-aligned engineering across teams. Recent research experience applying reinforcement learning (epsilon-greedy multi-armed bandit scheduling) to enable more autonomous server routing in MCP systems, with measurable latency and variance improvements.

Available to hire

Software/AI engineering professional with experience building risk, trade monitoring, and data pipelines at scale, using modern cloud infrastructure and robust automation. Strong focus on low-latency systems, scalable ETL, and standards-aligned engineering across teams.

Recent research experience applying reinforcement learning (epsilon-greedy multi-armed bandit scheduling) to enable more autonomous server routing in MCP systems, with measurable latency and variance improvements.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Beginner

Work Experience

Research Assistant at George Mason University

September 1, 2025 - December 1, 2025

Designed an epsilon-greedy Multi-Armed Bandit reinforcement learning scheduler in Python/FastAPI to bridge adaptive scheduling needs for MCP systems, enabling autonomous server routing without manual configuration. Evaluated across live MCP/SQLite tool servers, achieving 33% lower average latency and 68% variance reduction versus round-robin by applying continuous reward-signal updates.

Software Engineer at NatWest

July 1, 2022 - July 1, 2024

Built risk and trade processing capabilities for hosting credit, market, and operational risk classification models in book trades, improving real-time alert response time by 30% and reducing false positives by 25%. Partnered with 15+ stakeholders across risk, trading, IT, and analytics to align system functionality with compliance and improve cross-department efficiency by 20%. Implemented scalable ingestion on GKE for 200+ GB/day, handling 3x peak volumes and reducing downtime by 30%. Managed infrastructure-as-code with Terraform for reproducible GKE environment deployments. Engineered BigQuery pipelines over 1M daily trade records and optimized SQL (partitioning/clustering/caching) to cut execution time by 50%, reduce costs by 20%, and improve trading strategy insights by 15%.

Risk Consultant - Research at PricewaterhouseCoopers (PwC)

January 1, 2022 - June 30, 2022

Implemented a structured Information Security Management System (ISMS) aligned with ISO 27001, developing incident management processes and performing risk assessments, resulting in a 35% reduction in security incidents.