Hirtic
Selvavinayagam
Specializing in robust backend architectures and predictive modeling to build secure, scalable, and intelligent software ecosystems.
About Me
"Building the digital future, one robust architecture at a time."
I am a results-driven Software Engineer with a passion for architecting scalable backend systems and developing predictive AI models. My journey started with a curiosity for how complex digital infrastructures interact, which led me to pursue a B.Tech in Computer Science at Vellore Institute of Technology.
I pride myself on my ability to translate complex technical requirements into elegant, high-performance solutions. Whether it's optimizing database queries, containerizing microservices, or training deep learning models, I approach every project with a focus on reliability, security, and user-centric design.
Architecture
AI / ML
Scalability
Education
Academic milestones and foundational growth.
Vellore Institute of Technology
B.Tech in Computer Science Engineering
CGPA
8.06/10
Asian International Private School
Grade 12
86.0%
Grade 10
90.8%
Skills
A comprehensive view of the languages, frameworks, and cloud technologies powering my projects and architectural decisions.
Experience
Yokogawa UAE
Software Engineer Internship
Designed modular GUI for Operator Training Simulators (OTS) using Python and CustomTkinter, enhancing operator interface responsiveness.
Built advanced LSTM and XGBoost models for sensor data analysis, achieving an 18% improvement in forecast accuracy.
Automated remote simulations through cloud integration, reducing manual deployment cycles by 40%.
Projects
AvailAPI
Engineered sub-60-second incident detection for critical API infrastructure using high-performance monitoring stacks.
Vanish Vault
Architected secure, automated data disposal platform leveraging AWS infrastructure for ephemeral storage management.
Certifications
AWS Certified Cloud Practitioner
ID: c5a46586-7b24-4f4e-a134
Microsoft Azure AI Fundamentals
ID: dUaa-DwW2