Khizer Mahmud

Software Engineer at Capital One

Optimized user experience for call center operations by identifying and mitigating fraud-related risks, resulting in a 13% reduction in incidents and a 24% increase in customer satisfaction. Developed front-end applications using JavaScript and Python, improving functionality and UI responsiveness by 28% based on user feedback. Engineered core features for Hibernate, a patented internal tool that schedules off-hours shutdowns of non-production AWS resources, achieving over $2M in annualized savings. Built data pipelines and adoption tracking dashboards that reduced idle resource usage by 60% and scaled Hibernate across more than 70 internal teams.

Software Engineer at TetraCore

Developed and optimized Python-based data processing pipelines to handle large-scale scientific datasets, improving processing accuracy by 36% through modular design and automated validations. Developed automated quality control systems for hardware-generated data, reducing runtime errors by 15% and increasing throughput by 9%. Engineered scalable data classification workflows using custom-built databases and Python scripting, cutting analysis time by 11% and improving processing efficiency by 7%. Integrated RESTful APIs and internal lab systems to automate real-time data syncing and reporting, enhancing cross-platform data visibility and reducing manual handoffs by 40%.

Scientist / Engineer at Systems Planning & Analysis

Engineered real-time sensor integration and situational awareness software by developing modular data pipelines and algorithms, boosting soldier response time by 5% and target acquisition accuracy by 4%. Designed and implemented scalable software tools, including dashboards and data fusion pipelines, to visualize high-resolution sensor outputs, enhancing cross-team decision-making speed by 9%. Produced technical specifications, prototypes, and analytical reports for Defense Threat Reduction Agency initiatives, resulting in a 6% improvement in strategic planning effectiveness. Collaborated with cross-functional teams to simulate battlefield scenarios using synthetic sensor data, enabling rapid prototyping and reducing system validation time by 12%.

Software Engineer at Capital One

Optimized UX for call center operations by identifying and mitigating fraud-related risks, resulting in a 13% reduction in incidents and 24% increase in customer satisfaction. Developed front-end applications using JavaScript and Python, improving functionality and UI responsiveness by 28%. Engineered core features for Hibernator, an internal tool that schedules off-hours shutdowns of non-production AWS resources based on custom tags, achieving $2M+ in annualized savings. Built data pipelines and adoption tracking dashboards that reduced idle resource usage and scaled Hibernator across 70+ internal teams.

Software Engineer at TetraCore

Developed Python-based data processing pipelines handling large-scale scientific data sheets, improving processing accuracy by 36% through modular design and automated validations. Implemented automated quality control systems for hardware-generated data (e.g., sequencing devices), reducing runtime errors by 15% and increasing data throughput by 9%. Engineered scalable data classification workflows using custom-built databases and Python scripting, cutting analysis time by 11% and improving processing efficiency by 7%. Integrated RESTful APIs and internal lab systems to automate real-time data syncing and reporting, enhancing cross-platform data visibility and reducing manual handoffs by 40%.

Scientist / Engineer at Systems Planning & Analysis

Real-time sensor integration and situational awareness software by developing modular data pipelines and algorithms, boosting soldier response time by 5% and target acquisition accuracy by 4%. Designed scalable software tools including dashboards and data fusion pipelines to visualize high-resolution sensor outputs — enabling faster cross-team decision-making.

Software Engineer at Capital One

Optimized UX for call-center operations by identifying and mitigating fraud-related risks, leading to a 13% drop in incidents and a 24% rise in customer satisfaction. Built front-end applications using JavaScript and Python to improve functionality and UI responsiveness by 28% based on user feedback. Engineered core features for Hibernator, an internal tool that schedules off-hours shutdowns of non-production AWS resources based on tags, achieving $2M+ in annualized savings. Created data pipelines and dashboards to track Hibernator usage, reducing idle resource usage by 60% and enabling rollout across 70+ internal teams.

Software Engineer at TetraCore

Developed Python-based data processing pipelines for large-scale scientific data, improving processing accuracy by 36% through modular design and automated validations. Built automated quality controls for hardware-generated data (e.g., sequencing devices), reducing runtime errors by 15% and increasing data throughput by 9%. Implemented scalable classification workflows with custom data stores and Python scripting, cutting analysis time by 11% and improving processing efficiency by 7%. Integrated RESTful APIs and internal lab systems to automate real-time data syncing and reporting, boosting cross-platform visibility and reducing manual handoffs by 40%.