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Kushagra Khare

SDE Backend @Navi || Ex-Software @slice, @Nvidia, @Silicon Labs || Distributed & Multithreaded Financial Systems

Bengaluru

2+ years of work experience

Navi
Jul 20262 mosPresent

Greater Bengaluru Area

Working with General Insurance team.
slice
Jul 20251 yr 1 moJul 2026

Bengaluru, Karnataka, India

Backend Engineering with Lending vertical.
NVIDIA
Jan 20257 mosJul 2025

Bengaluru, Karnataka, India

• Collaborated with the GPU workload efficiency team at NVIDIA to enhance LLM inference performance. • Utilized tools such as Slurm, Docker, and Python to identify kernel miscorrelations and performance bottlenecks. • Optimized high-performance compute clusters (H100, L40S, GB200), contributing to improved computational efficiency.
Silicon Labs
May 20247 mosNov 2024

Hyderabad, Telangana, India

• Led the development of Port Address Translation (PAT) on existing NAT, enhancing network efficiency. • Utilized Patricia Trie for optimized IP table lookups and implemented advanced port selection algorithms. • Collaborated with the NetStack team in an Agile environment, contributing to OS-level features in C/C++. • Gained proficiency in GDB, multithreading, and memory management, receiving a Pre-Placement Offer (PPO).

Kushagra’s AI Stack

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Education

Indian Institute of Technology, Bhubaneswar

Integrated B.Tech + M.Tech (5 yr), Computer Science

Indian Institute of Technology, Bhubaneswar

20205 yrs2025
FIITJEE

FIITJEE

20182 yrs2020

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Headline

SDE Backend @Navi || Ex-Software @slice, @Nvidia, @Silicon Labs || Distributed & Multithreaded Financial Systems

About

Curious.

Location

Bengaluru

AI stack

cursor

langgraph

obsidian

replit

Glean

Qdrant

Work experience

Software Development Engineer at Navi, Jul 2026 - Present · 2 mos, Greater Bengaluru Area, Working with General Insurance team.

Software Development Engineer at slice, Jul 2025 - Jul 2026 · 1 yr 1 mo, Bengaluru, Karnataka, India, Backend Engineering with Lending vertical.

Software Development Intern at NVIDIA, Jan 2025 - Jul 2025 · 7 mos, Bengaluru, Karnataka, India, • Collaborated with the GPU workload efficiency team at NVIDIA to enhance LLM inference performance. • Utilized tools such as Slurm, Docker, and Python to identify kernel miscorrelations and performance bottlenecks. • Optimized high-performance compute clusters (H100, L40S, GB200), contributing to improved computational efficiency.

Software Development Intern at Silicon Labs, May 2024 - Nov 2024 · 7 mos, Hyderabad, Telangana, India, • Led the development of Port Address Translation (PAT) on existing NAT, enhancing network efficiency. • Utilized Patricia Trie for optimized IP table lookups and implemented advanced port selection algorithms. • Collaborated with the NetStack team in an Agile environment, contributing to OS-level features in C/C++. • Gained proficiency in GDB, multithreading, and memory management, receiving a Pre-Placement Offer (PPO).

Education

Integrated B.Tech + M.Tech (5 yr), Computer Science, Indian Institute of Technology, Bhubaneswar

FIITJEE

Public links

github: https://github.com/Kushagra164

leetcode: https://leetcode.com/kushagra_khare02

codeforces: https://codeforces.com/profile/kushagra_khare02

Kushagra Khare - Software Development Engineer in Bengaluru | Tal