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KARAN User

@karanuser12

Software engineer building full-stack applications and systems tools, including a C++ deep packet inspection engine and a published FinTech fraud detection paper.

India
Message

I built a Deep Packet Inspection system in C++ that parses network traffic across Ethernet, IP, and TCP/UDP layers. It extracts TLS SNI and uses a multi-threaded architecture with thread-safe queues.

As a Freelance Frontend Developer at Self-employed, I build responsive, animated client websites with React, Next.js, Tailwind CSS, and GSAP. I’ve also delivered UI/UX-focused interfaces for clients.

At DI3 Infotech LLP, I assisted with R&D projects involving OS-level development and systems programming, and contributed to GUI development for an IP-MPLS Router. I also gained hands-on exposure to full-stack workflows and enterprise networking systems.

At Bennett University, I authored “AI Driven Fraud Detection in FinTech,” published in Springer conference proceedings, and worked on Legendre Kernel optimization for applied machine learning research.

Experience

Work history, roles, and key accomplishments

SE
Current

Freelance Frontend Developer

Self-employed

Jan 2024 - Present (2 years 10 months)

Built responsive and animated client websites using React, Next.js, Tailwind CSS, and GSAP. Delivered UI/UX-focused interfaces that improved usability and user retention for clients.

DL

R&D Intern

DI3 Infotech LLP

Jun 2025 - Aug 2025 (2 months)

Assisted in R&D projects including OS-level development and systems programming. Contributed to GUI development for an IP-MPLS Router using low-level networking concepts.

BU

Research Intern

Bennett University

Jun 2024 - Jul 2024 (1 month)

Authored a research paper titled 'AI Driven Fraud Detection in FinTech', accepted and published in Springer conference proceedings. Worked on Legendre Kernel optimization for applied machine learning research.

Education

Degrees, certifications, and relevant coursework

Bennett University logoBU

Bennett University

B.Tech, Computer Science and Engineering

Grade: 8.3/10

Pursuing a B.Tech in Computer Science and Engineering with a CGPA of 8.3/10, expected to graduate in 2027.

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