Software Engineer

Rahul Vijaykumar

***********@*****.*** • +1-315-***-**** • linkedin.com/in/rahulvijaykumar • New Jersey, USA Objective

Software Engineer with 5 years of experience in building secure, scalable healthcare applications and biometric systems. Proven track record in enhancing patient registration platforms, optimizing clinical workflows, and improving system resiliency. Seeking to contribute to innovative patient engagement solutions by combining deep domain expertise with full-stack development, automation, and AI-driven healthcare insights.

Education

Master of Science in Electrical and Computer Engineering, Clarkson University (Aug 2023 – Dec 2024) GPA: 3.78 — Focus: Cloud Computing, Software Engineering, Databases, Deep Learning, Machine Learning Bachelor of Engineering, Electronics and Communication, Visvesvaraya Technological University (2012 – 2016) Skills

AI & ML Large Language Models (LLMs), Natural User Interactions (NUI), TensorFlow, PyTorch, Keras. Automation & Scripting Python, Bash, Shell, Jenkins, GitHub Actions, CI/CD Pipelines DevOps & Infrastructure Docker, RedHat OpenShift, ServiceNow, OAT, Load Balancing Backend & Full Stack C#, .NET, REST APIs, React, Node.js, Python, MVC Architecture Database & Cloud Oracle, SQL Server, MySQL, MongoDB, GCP, Azure Soft Skills Incident response, RCA, stakeholder engagement, agile collaboration, peer mentoring Experience

Software Engineer Jan 2025 – Apr 2025

PrivateID LLC (Remote)

• Built and optimized biometric AI models to improve deepfake detection accuracy, reducing False Rejection Rate (FRR) by 20% through advanced data preprocessing and training techniques.

• Collaborated with infra and platform teams to implement production-grade monitoring dashboards. Research Assistant Aug 2023 – Dec 2024

Clarkson University, Potsdam, NY

• Developed an Android app and AI-based deepfake detection system using Python and deep learning, optimizing database performance and securing $300K in funding through biometric innovation.

• Integrated AWS cloud infrastructure, CI/CD pipelines, and monitoring dashboards to automate biometric data workflows and improve system reliability; reduced MTTR by 40%.

Software Engineer 3 Mar 2019 – Jul 2023

Cerner Healthcare Solutions, Bangalore, India

• Built and customized patient intake and registration workflows using C#, Python, HL7, CCD/CDA, and FHIR JSON, improving data accuracy and streamlining onboarding for 4 hospital systems.

• Enhanced EMR scheduling reliability by optimizing HL7 message handling and platform sync, reducing software issues by 15% and contributing to a 95% CSAT score.

• Migrated IAM, Profiles, and Weblogin systems to React with MFA, cutting page load times by 30% and improving user satisfaction by 20%; mentored 3 junior engineers.

• Automated deployment pipelines for registration modules, reducing manual intervention by 70% and improving release stability across patient-facing applications.

Software Engineer Oct 2017 – Feb 2019

Vuelogix Technologies, Bangalore, India

• Delivered log automation pipelines and performance metrics extraction for critical banking APIs.

• Hardened production environments through firewall configuration, load balancing, and secure service handoffs. Publications

Deepfake Attacks on Biometric Recognition: Evaluation of Resistance to Injection Attacks – IEEE Developed biometric security mechanisms integrated into web and mobile apps. Built with C# MVC, Python, React. Face Liveness Detection Competition (LiveDet-Face)-2024 – IEEE Benchmarked PAD systems for biometric spoofing; implemented resilient AI pipelines and achieved leading accuracy. 1

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