Arpit Khetan profile photo 2 on Tal
Arpit Khetan profile photo 1 on Tal
Arpit Khetan profile photo 2 on Tal
Arpit Khetan profile photo 1 on Tal

Arpit Khetan

Software Engineer @Cisco | StartUp Enthusiast | DTU 25’

Delhi

1+ year of work experience

Cisco
Jul 20251 yr 3 mosPresent

• Owned end-to-end design and development of security features across EDLP and DSPM — from architecture to production rollout • Designed system workflows for data monitoring, classification, and enforcement with focus on clean architecture and reliability • Built low-level integrations with OS/system APIs to enable deep data visibility for Endpoint DLP • Delivered multiple features in DSPM, contributing to data discovery, classification, and risk analysis pipelines • Worked on Cisco DLP (legacy Java codebase), quickly ramping up and shipping production features under tight timelines • Extended legacy systems while maintaining stability and backward compatibility • Contributed to Project Vimaan, enhancing backend services and system integrations
Cisco
Jan 20256 mosJun 2025

DLP CCS Scanner – Extraction Engine • Engineered a high-performance cross-platform text extraction engine supporting 1000+ file types (documents, emails, archives, images) • Designed modular extractor architecture with auto-routing using MIME type detection • Integrated Tesseract OCR and Leptonica for image-based text extraction • Built a C++ ↔ Rust FFI bridge (.dylib/.dll) for cross-platform execution • Improved processing latency by ~85% (500ms → 75ms for 1MB files) Bloom Filter Integration • Implemented probabilistic detection pipeline for sensitive data (PII, passwords, etc.) • Built Rust deserialization layer for Java-based Bloom Filters using jaded CloudBroker Client • Developed a C++ REST client library for DLP Core ↔ Cloud communication • Designed thread-safe architecture with shared connection pool and token manager • Achieved 95% unit test coverage using LLVM tooling
Accenture
May 20243 mosJul 2024

Bengaluru, Karnataka, India

• Built a Kubernetes cluster with multiple nodes to deploy a robust and scalable application, ensuring high availability and performance. • Gained hands-on experience with Docker images, containers, and various Kubernetes services, enhancing skills in modern application deployment. • Learned and executed best practices for container orchestration and management and optimizing resource utilization.

Arpit’s AI Stack

claude code
claude code
cursor
cursor
github copilot
github copilot
openai
openai
ChatGPT
ChatGPT
JetBrains AI Assistant
JetBrains AI Assistant

Education

Delhi Technological University (Formerly DCE)

Bachelor of Technology - BTech, Information Technology

Delhi Technological University (Formerly DCE)

20214 yrs2025
Birla School ,Pilani

Secondary Education, Engineerig science

Birla School ,Pilani

20192 yrs2021

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Headline

Software Engineer @Cisco | StartUp Enthusiast | DTU 25’

About

👋 Hi, I’m Arpit Khetan — a Software Development Engineer at Cisco working on Data Security Systems ( Data Loss Prevention, Endpoint Data Loss Prevention, Data Security Posture Management, etc. ) with a focus on systems design and production-grade backend engineering. 💻 I specialize in backend and systems engineering, with hands-on experience building production-grade features across C++, Rust, and Java — from architecture design to deployment. 🚀 At Cisco, I’ve been driving end-to-end development of features, working on: • Endpoint DLP with deep OS/system-level integrations • DSPM systems for data discovery, classification, and risk analysis across various platforms • Legacy DLP platforms, delivering production features in fast-paced environments ⚙️ I enjoy working on low-level systems, performance optimization, and cross-language architectures (C++ ,Rust), especially where design meets real-world constraints. 🏆 Previously, I led DTU’s INFERNO Mars Rover Team and contributed as a Placement Coordinator, managing large-scale campus recruitment efforts. 🌱 I’m always looking to learn, build, and collaborate on impactful systems in security, backend, and distributed architectures

Location

Delhi

AI stack

claude code

cursor

github copilot

openai

ChatGPT

JetBrains AI Assistant

Work experience

Software Developer 1 at Cisco, Jul 2025 - Present · 1 yr 3 mos, • Owned end-to-end design and development of security features across EDLP and DSPM — from architecture to production rollout • Designed system workflows for data monitoring, classification, and enforcement with focus on clean architecture and reliability • Built low-level integrations with OS/system APIs to enable deep data visibility for Endpoint DLP • Delivered multiple features in DSPM, contributing to data discovery, classification, and risk analysis pipelines • Worked on Cisco DLP (legacy Java codebase), quickly ramping up and shipping production features under tight timelines • Extended legacy systems while maintaining stability and backward compatibility • Contributed to Project Vimaan, enhancing backend services and system integrations

Software Engineer Intern at Cisco, Jan 2025 - Jun 2025 · 6 mos, DLP CCS Scanner – Extraction Engine • Engineered a high-performance cross-platform text extraction engine supporting 1000+ file types (documents, emails, archives, images) • Designed modular extractor architecture with auto-routing using MIME type detection • Integrated Tesseract OCR and Leptonica for image-based text extraction • Built a C++ ↔ Rust FFI bridge (.dylib/.dll) for cross-platform execution • Improved processing latency by ~85% (500ms → 75ms for 1MB files) Bloom Filter Integration • Implemented probabilistic detection pipeline for sensitive data (PII, passwords, etc.) • Built Rust deserialization layer for Java-based Bloom Filters using jaded CloudBroker Client • Developed a C++ REST client library for DLP Core ↔ Cloud communication • Designed thread-safe architecture with shared connection pool and token manager • Achieved 95% unit test coverage using LLVM tooling

Software Engineer Intern at Accenture, May 2024 - Jul 2024 · 3 mos, Bengaluru, Karnataka, India, • Built a Kubernetes cluster with multiple nodes to deploy a robust and scalable application, ensuring high availability and performance. • Gained hands-on experience with Docker images, containers, and various Kubernetes services, enhancing skills in modern application deployment. • Learned and executed best practices for container orchestration and management and optimizing resource utilization.

Education

Bachelor of Technology - BTech, Information Technology, Delhi Technological University (Formerly DCE)

Secondary Education, Engineerig science, Birla School ,Pilani