Aman Goyal

Developed a sub-second User Segmentation solution for high-scale, high-performance targeted campaigns, enhancing precision and delivery speed for marketing initiatives.

Designed and deployed a Zero-cost, Zero-ops Real-Time Analytics Pipeline, successfully processing over 2.3 billion events daily with minimal overhead.

Leveraged Perf Profiling to identify and resolve CPU and memory bottlenecks, improving API response times by 79%.

Implemented Latency Aware Request Hedging strategies, significantly enhancing P99s (99th percentile latency) by over 8% for critical systems.

Achieved 2X improved efficiency during peak summer sales by utilizing Thread Pools and Synchronization Primitives to effectively handle high loads.

Revamped several APIs, resulting in a 20% improvement in response time using Elastic Search, leading to faster page load times.

Achieved a 50% improved memory footprint by optimizing Thread Locals for memory-efficient operations.

Optimized performance of APIs, microservices, and web applications using Spring and Django frameworks, implementing caching (Couchbase), load balancing, and indexing (Elastic) to boost responsiveness and scalability.

Invested significant efforts in database design and management, utilizing relational databases like MySQL and NoSQL databases like MongoDB to efficiently store and retrieve data.

Played a key role in identifying and resolving critical production bugs, collaborating with product owners and engineering leads to implement effective, preventative solutions.

Led efforts to modernize legacy codebase, resulting in improved maintainability and facilitating future development.

Collaborated with cross-functional teams to develop and implement customized technology solutions that effectively addressed client needs and requirements.

Created and maintained robust databases and interactive dashboards, utilizing SQL-based tools to support comprehensive data analysis and reporting.

Contributed to the development of intellectual property and best practices in Data Analytics and data transformation.

Demonstrated strong leadership by introducing new guidelines and methodologies, enhancing project deliverable efficiency and quality.

Delivered a Patient Health Analysis System using Django, enabling doctors to gain comprehensive insights into patient conditions.

Developed cutting-edge Python automations that transformed medical data extraction and interpretation, reducing processing time by over 1000%.

Authored scripts to automate repetitive tasks, which reduced errors by 70% and improved operational efficiency.