Open to opportunities

Rishikesh Paudel

@rishikeshpaudel

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Computer engineering student specializing in embedded AI and blockchain development.

Nepal

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What I'm looking for

I seek roles combining embedded/FPGA work, machine learning, and blockchain in collaborative, research-driven teams with opportunities to ship performant, secure systems and grow technically.

I am a computer engineering student with hands-on experience building hardware-accelerated machine learning systems, blockchain smart contracts, and full-stack applications. I have led and contributed to multidisciplinary projects—from implementing GNNs on FPGA for CERN to developing decentralized games and mobile apps—delivering production-ready code, verifiable benchmarks, and technical reports.

I thrive in collaborative, research-driven environments and have a track record of competition wins and leadership roles, including classroom representative and IT club secretary. I focus on performance, security, and user-centered design, and I seek roles where I can combine embedded systems, ML, and blockchain expertise to drive impactful products and research.

Experience

Work history, roles, and key accomplishments

Current

External Researcher

Current

CERN

May 2025 - Present (5 months)

Implementing and optimizing CERN GNN models on FPGA with quantization and pruning for the ATLAS Inner Tracker upgrade; benchmarking custom GCN/MPNN architectures and producing technical reports for collaboration.

Verilog Pytorch Lightning GNN FPGA Deployment Model Quantization Pruning data preprocessing Benchmarking

Education

Degrees, certifications, and relevant coursework

Institute of Engineering, Pulchowk Campus

Bachelor of Engineering, Computer Engineering

Activities and societies: Classroom Representative; IOE IT Club Secretary; multiple hardware and software projects (FPGA, embedded systems, web and blockchain).

Pursuing a Bachelor in Computer Engineering at IOE Pulchowk Campus, engaging in coursework and projects related to hardware, embedded systems, and machine learning.