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Nikhil Dwivedi

Available to hire

I am a passionate software engineer specializing in artificial intelligence with extensive experience in developing advanced anomaly detection systems for network security and 5G core network monitoring.

About

I am a passionate software engineer specializing in artificial intelligence with extensive experience in developing advanced anomaly detection systems for network security and 5G core network monitoring. My background in Electrical Engineering and Artificial Intelligence has empowered me to blend domain expertise with cutting-edge technology to solve complex real-world problems effectively.

Currently, I contribute to innovative projects at Rakuten Mobile in Tokyo, where I leverage machine learning, unsupervised algorithms, and backend development skills to enhance network security and operational efficiency. Throughout my career, I have embraced learning and leadership opportunities, driving impactful enterprise solutions and earning certifications like Certified Kubernetes Administrator.

  • 6 years' experience
  • Joined August 2025

Industry experience

  • Software & Internet
  • Telecommunications
  • Professional Services

Work experience

Software Engineer · Rakuten Mobile Inc.Mar 2024 – Present · 2 yrs 9 mos

Developed machine learning-based anomaly detection systems for WAF logs employing BERT architecture, achieving 0% false negatives and under 5% false positives. Led research using JEPA-based architectures for system optimization. Created unsupervised algorithm solutions for 5G core network latency and jitter detection, reducing alerts and manual monitoring significantly. Completed backend development and deployment for an eBPF-based transport network monitoring system, implementing gRPC communication and over 20 APIs with advanced features like RBAC, code refactoring, and security vulnerability resolution to ensure production stability.

Software Engineer · Ernst & Young LLPJan 2024 – Aug 2025 · 1 yr 8 mos

Led development of an Enterprise Talent Management solution on Spring MVC, contributing to successful sales to major enterprise clients. Improved application robustness through critical bug fixes and embedded a Tableau analytics dashboard providing actionable, data-driven insights.

Graduate Engineer Trainee (GET) · Johnson ControlsMay 2020 – Aug 2025 · 5 yrs 4 mos

Coordinated technical operations for over two projects in the west region, supervised subcontractor technical teams, and ensured timely completion of project deliverables.

Education

Master of Technology in Artificial Intelligence · Indian Institute of Technology Jodhpur2021 – 2023
Bachelor of Technology in Electrical Engineering · Delhi Technological University2015 – 2019

Certifications and awards

Certified Kubernetes Administrator (CKA) - The Linux Foundation2024 – 2025

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