Oct 2024 – May 2025 · 7 mos · Tempe, Arizona, United States

Aug 2024 – Nov 2024 · 3 mos · Tempe, Arizona, United States

May 2024 – Aug 2024 · 3 mos · Tempe, Arizona, United States · On-site

• Designed and developed a real-time data stream processing pipeline using Apache Flink in Java and AWS Kinesis to enhance intruder detection in smart homes.
• Implemented multi-GPU parallel processing on AWS SageMaker to optimize data preprocessing and model inference, reducing inference time by 75%.
• Developed an ensemble machine learning model combining SVM, Random Forest, and MLP classifiers to classify properties under trespasser threat with 85% accuracy.

Aug 2021 – Jul 2023 · 1 yr 11 mos

• Designed and integrated modular test framework enhancements using C and Cmocka, incorporating modular compilation to decrease test compilation time by 93% and improve test coverage by 30%.
• Diagnosed and resolved critical memory leaks in Layer 2 VPN configurations using heap analysis and leak detection with Valgrind, ensuring stable and reliable performance.
• Restructured the tracing system using LTrace, standardizing trace logs, which enhanced code clarity and enabled 30% faster resolution of network issues.
• Created Yang models for Layer 2 VPN configurations, enabling complete feature configuration through an intuitive GUI, improving the user experience and feature accessibility for network operators.
• Awarded quarterly quality award by Cisco Systems for producing high-quality and innovative solutions

Jan 2021 – Jul 2021 · 6 mos

• Streamlined debugging and boosted code clarity by restructuring the tracing system.
• Diagnosed and fixed memory leaks causing Layer 2 VPN tunnel instability.

Jun 2020 – Dec 2020 · 6 mos · Hyderabad, Telangana, India · On-site

• Developed a custom protocol using XMPP and Java, integrating encryption techniques to secure and anonymize user chat functionality, enhancing privacy and communication security.
• Diagnosed and resolved a critical performance bottleneck in the application by optimizing threading and memory allocation, improving responsiveness by 50%, and significantly enhancing user experience and application efficiency.
• Engineered and optimized the notification system by tuning the inbuilt chat system to efficiently reuse existing resources, improving system performance and responsiveness.