Headline

Systems Engineer @ Qualcomm | IIT-KGP CSE ’24

About

I’m a software engineer who enjoys working close to the system — understanding how things actually run under the hood and making them faster, cleaner, and more reliable. Over the past few years, I’ve worked on a mix of systems and infrastructure problems — from building and optimizing deep learning inference pipelines to improving memory management and debugging complex low-level issues like leaks and invalid accesses. A lot of my work revolves around performance: reducing latency, improving throughput, and making software align better with the underlying hardware.

Location

Hyderabad

AI stack

antigravity

opencode

Work experience

Engineer at Qualcomm, Jul 2025 - Present · 1 yr 2 mos, Hyderabad, Telangana, India, Team: eNPU LPAI Systems

Associate Engineer at MathWorks, Jun 2024 - Jul 2025 · 1 yr 2 mos, Hyderabad, Telangana, India, - Built low-latency inference pipelines using Nvidia DeepStream SDK and Gstreamer on Jetson platforms - INT8 Code Generation Optimization of Deep Learning Layers for Infineon Aurix Boards - Optimized Deep Learning Model Deployment on NPUs for efficient Edge AI inferences

Engineering Development Intern at MathWorks, May 2023 - Jul 2023 · 3 mos, Hyderabad, Telangana, India, Enhance PCAP/PCAPNG readers and writers in the 5G toolbox (MATLAB).

Research Intern at Indian Institute of Technology, Kharagpur, Dec 2021 - May 2022 · 6 mos, Kharagpur, West Bengal, India, topic: Few-shot Cross-lingual Event Detection for low-resource languages

Mathematics Tutor at CoachIO, Aug 2021 - Sep 2021 · 2 mos, www.coachio.co.in, Tutored and mentored 46 students for KVPY and JEE.

Education

Bachelor of Technology, Computer Science and Engineering, Indian Institute of Technology, Kharagpur

CBSE Class-12, Physics, Chemistry, Math, Computer Science (C++), Aditya Academy