Pragya Dhakar

Kota

Summary

Platform Engineer with over 1.5 years of experience building high-performance system tools and internal monitoring platforms. Specialized in creating debugging frameworks, memory tracers, and automated diagnostic interfaces that accelerate developer velocity and system reliability. Proven track record in optimizing developer workflows through Linux modernization and real-time performance analysis

Overview

years of professional experience

Work History

System S/W development

Samsung Research Institute

Delhi

07.2024 - Current

Internal Tooling & DevEx: Engineered a specialized /proc interface and GPU kernel APIs to provide developers with real-time visibility into GPU memory utilization, directly improving debugging speed for graphics teams.
Automation & Efficiency: Reduced system boot-up time by automating the identification and removal of redundant memcg files in systemd-udevd, utilizing Bootchart analysis to validate productivity gains.
Platform Reliability: Ported and modernized critical system watchdogs and memory tracers from Linux 4.9 to 6.12, ensuring a stable and consistent environment for application developers across Qualcomm and Amlogic platforms.
Observability & Monitoring: Developed and maintained core diagnostic modules including Address Sanitizer (ASan) and Kernel Concurrency Sanitizer (KCSAN), providing developers with automated error detection tools.
Incident Response: Enhanced "Greatest Memory Consumer" features to automate the identification of top kernel memory leaks, reducing mean time to resolution (MTTR) during system failures

Platform Software Intern

Samsung India

Noida

05.2023 - 07.2023

Computer Vision Frameworks: Built an end-to-end real-time object detection pipeline using YOLOv5 and depth estimation, focusing on model efficiency and inference speed.
Custom Dataset Training: Developed a sign language recognition system by training custom CNNs, demonstrating an ability to build full-stack ML tooling from data collection to deployment.

Education

B.Tech and M.Tech - Mathematics &Computing

Indian Institute of Technology Delhi

Hauz Khas, Delhi

01.2024

Skills

Languages and Tools : C, C, Python, SQL, GDB, QEMU-emulator

Core Competencies: System Design, Performance Optimization, Debugging

Projects

Linux Shell Simulation ,(August – October 2022)

Built a C-based shell supporting background execution, piping, history, and process status monitoring.

Maternal Health Risk Classification, (March-April 2022)

Using data-mining tools build a classifier based on patient's medical records to help them identify maternal health risks.
Trained decision tree and KNN classifier on Python module with prediction accuracy of nearly 99.35%.

Awards

Samsung Quarterly Star Award

Awarded Samsung Star Award with Rs.10,000 cash prize for exceptional contribution and kernel expertise.

JEE Advanced

Cleared JEE Advanced with an All India Percentile of 99.835 in JEE mains.

Samsung Competency Test

Cleared SWC Advanced and Professional levels in C++.

Timeline