Shakthivel
Arumugam
Associate Software Engineer at PibyThree Consulting Services, specializing in cloud-native backend systems, Kubernetes orchestration, and DevOps automation. AWS Certified Solutions Architect with a passion for building high-performance, scalable platforms.
9.02
CGPA / 10
1608
CodeChef Rating
1K+
App Downloads
2
Certifications
Education
Academic foundations in AI, Data Science, and Computer Engineering
University of Mumbai
Bachelor of Engineering — Artificial Intelligence & Data Science
St. Anne's Junior College
Higher Secondary School Certificate — Science
Technical Skills
Battle-tested across cloud infrastructure, DevOps pipelines, and backend systems
Professional Experience
Building production-grade systems and delivering measurable impact
PibyThree Consulting Services Pvt. Ltd.
CurrentAssociate Software Engineer
Working on cloud-native infrastructure, Kubernetes orchestration, DevOps automation, and enterprise migration tooling.
- Migrated application from Docker to Kubernetes with KEDA event-driven autoscaling and Redis queue depth for worker pods, achieving 45% reduction in job processing latency and 35% improvement in cluster resource utilization
- Constructed a secure end-to-end CI/CD pipeline on Amazon EKS integrating static analysis, container scanning, and GitOps-based deployments, reducing scan-to-production time by 25% with blue-green releases via ArgoCD and Argo Rollout
- Developed lightweight, cross-platform Migration Agents for Debian, RPM-based Linux, and Windows with less than 2% CPU overhead, enabling accurate migration assessments across enterprise environments
- Achieved 50% reduction in Kubernetes NetworkPolicy configuration size by designing reusable Go templates, enhancing maintainability and deployment scalability
Semi Hyphen
Back-End Intern
Streamlined recruitment operations and optimized backend systems using modern technologies.
- Streamlined recruitment operations by automating email processes and creating a dashboard for administrators, utilizing Express.js and MongoDB
- Optimized NoSQL database queries, resulting in a 20% reduction in data retrieval time
- Implemented token-based authentication (JWT) to secure all API endpoints
Featured Projects
Innovative systems built with a focus on scalability, performance, and reliability
Horizontally scalable HLS video processing pipeline on AWS supporting 1K+ concurrent uploads/day with zero message loss.
- Designed and built an event-driven, horizontally scalable HLS video processing pipeline on AWS with zero message loss
- Implemented fault-tolerant async workflow utilizing SQS buffering and EC2-based consumers, handling 10x traffic spikes
- Containerized FFmpeg-based video encoding on ECS, decreasing processing time by ~60% with streaming-ready S3 outputs
Production-grade Kubernetes observability platform with real-time visibility and AI-assisted incident diagnostics across multi-namespace clusters.
- Built a production-grade Kubernetes observability platform for real-time visibility into 100% of pods, services, and deployments
- Implemented AI-assisted incident diagnostics by correlating pod logs, events, and container states, cutting troubleshooting time by 30–50%
- Integrated Prometheus-backed telemetry with graceful degradation maintaining ~99% dashboard availability
RAG-powered mobile learning app providing context-accurate academic answers for engineering students using FAISS vector search.
- Developed a mobile learning app powered by Retrieval-Augmented Generation (RAG) for context-accurate academic answers
- Architected a scalable semantic search pipeline leveraging FAISS vector databases for university curriculum content
- Improved real-time Q&A accuracy by combining context-aware LLM responses with optimized, quantized vector search
Achievements
Milestones in competitive programming, hackathons, and app development
MLSC COHERENCE 1.0 Hackathon
Secured 3rd position in the AI/ML domain hackathon, competing against teams from multiple colleges and universities.
- Secured 3rd position in the MLSC COHERENCE 1.0 Hackathon
- Showcased proficiency in the AI/ML domain
- Developed innovative solutions using machine learning techniques
CodeChef Rating: 1608
Achieved 3-star rating with a peak of 1608, placing in the top 20,000 competitive programmers globally.
- Peak rating of 1608 on CodeChef — 3-star status
- Placed in the top 20,000 competitive programmers globally
- Consistent performance in algorithmic contests across data structures and algorithms
AquaTrace — 1K+ Downloads
Launched the AquaTrace environmental awareness app with 1,000+ downloads on Android, built with Flutter and PostgreSQL.
- Drove the successful launch of the AquaTrace app on Android Play Store
- Garnered over 1,000 downloads focusing on individual water footprint tracking
- Built with Flutter and PostgreSQL backend
Certifications
Industry-recognized credentials in cloud architecture and observability
AWS Certified Solutions Architect – Associate
Datadog Certified: APM & Distributed Tracing Fundamentals
Volunteer Experience
Giving back to the technical community through mentoring and problem-setting
SIESGST ARENA
Problem Setter
Authored and tested competitive programming problems for SIESGST ARENA, ensuring challenge, clarity, and accuracy for participants.
- Authored and tested competitive programming problems ensuring challenge, clarity, and accuracy
- Curated a diverse set of problems for BUG4EVER and TuringCup — national-level contests organized by the chapter
- Acted as Problem Tester for SIESGST ARENA, validating problem statements and test cases