Core Research Areas

• 🚀 Serverless computing optimization
• ❄️ Cold start frequency reduction
• 📊 Intelligent autoscaling algorithms
• 🧠 Reinforcement learning for cloud systems
• 🔧 Dynamic function configuration

Applications:

• Serverless platforms (AWS Lambda, OpenFaaS)
• Cloud resource management
• Performance optimization
• Distributed systems

Advanced Techniques

• 🧠 Deep recurrent-reinforcement learning
• 🔄 Off-policy reinforcement learning
• 📊 Ensemble learning methods
• ⚡ Dynamic memory configuration
• 🎯 Input-aware function scheduling

Specializations:

• Cloud performance optimization
• Resource allocation
• Intelligent automation
• Predictive scaling

University of Melbourne | 2021 - Present

Research Focus: Cloud Computing, Distributed Systems
Thesis: Cloud Computing Optimization and Serverless Computing

Key Achievements:

• 🏆 Melbourne Research Scholarship recipient
• 📚 Multiple publications in top-tier conferences
• 🌟 Best Paper Award (Runner-Up) at CCGrid 2021

University of Melbourne | 2021

GPA: 89.85 WAM (H1 Grade)
Achievement: Dean's Honour's List Award

Focus: Advanced Computer Science and Cloud Computing

Jaypee Institute of Information Technology | 2017

Major: Computer Science and Engineering
GPA: 8.5/10

Honors: Computer Science and Engineering with Honours

Role: Doctoral Candidate in Cloud Computing

Current Research:

• 🚀 Serverless computing optimization
• ❄️ Cold start frequency reduction using RL
• 📊 Intelligent autoscaling algorithms
• 🧠 Deep learning for cloud resource management
• 🔧 Dynamic function configuration

Technologies: Python, Java, AWS, OpenStack, Kubernetes, OpenFaaS

Role: CMS Application Development

Key Achievements:

• 🛠️ Development and management of Archer-CMS applications
• 🔍 Troubleshooting Archer-CMS applications and SQL databases
• 👥 Supervised internal team meetings and client presentations
• 🎓 Trained new resources and conducted knowledge transfer
• 📚 Created application documentation and led client meetings

Technologies: Archer-CMS, SQL, Java, Application Automation

2021 - 2024

• A Deep Recurrent-Reinforcement Learning Method for Intelligent Autoscaling of Serverless Functions (IEEE TSC 2024)
• A Reinforcement Learning Approach to Reduce Serverless Function Cold Start Frequency (CCGrid 2021) - Best Paper Award (Runner-Up)
• On-demand Cold Start Frequency Reduction with Off-Policy Reinforcement Learning in Serverless Computing (ICCIDA 2024)
• Input-Based Ensemble-Learning Method for Dynamic Memory Configuration of Serverless Computing Functions (UCC 2024)

Research Impact:

• 🌟 Best Paper Award recognition
• 📊 Published in top-tier IEEE journals and conferences
• 💡 Novel contributions to serverless computing

Current & Completed

• Serverless Optimization Research (2021-Present)
• Cold Start Reduction using RL (2021-2024)
• Intelligent Autoscaling Algorithms (2022-2024)
• Dynamic Memory Configuration (2023-2024)
• Input-aware Function Scheduling (2023-Present)

Collaborations:

• 🏢 Telstra Corporation Ltd. (Vocational Placement)
• 🎓 University of Melbourne Cloud Computing Lab
• 🌍 International research community

• Distributed Systems (COMP90015)
• Distributed Algorithms (COMP90020)

Responsibilities:

• 📚 Course material development and delivery
• 🎯 Leading tutorial sessions
• 📊 Student assessment and feedback
• 🤝 Academic support and mentoring

• Cluster and Cloud Computing (COMP90024)
• Advanced Database Systems (COMP90050)
• Statistical Machine Learning (COMP90051)
• Design of Algorithms (COMP20007)
• Database Systems (INFO20003)

Total Teaching Experience: 2+ years at postgraduate levels

Platforms:

• 🚀 OpenFaaS & Kubeless
• ☁️ Melbourne Research Cloud
• 🔧 Serverless computing platforms
• 🐳 Container orchestration

Languages:

Tools:

• 🛠️ Eclipse & VS Code
• 🔧 Ansible (DevOps)
• 📊 Development frameworks
• 🎯 Vibe-Coding

Machine Learning:

• 🧠 Reinforcement Learning
• 🔄 Deep Recurrent Networks
• 📊 Ensemble Learning
• 🎯 Off-policy RL

Areas:

• Cloud performance optimization
• Resource allocation
• Predictive scaling
• System automation

• Melbourne Research Scholarship for PhD program (2021-Present)
• Dean's Honour's List Award for Master of Science (2021)
• Best Paper Award (Runner-Up) at CCGrid 2021

• IEEE Student Member
• Reviewer for multiple IEEE journals
• Research Grant Recipient (Melbourne Research Scholarship)

IEEE Journals & Conferences

• IEEE Transaction on Services Computing
• IEEE Transaction on Mobile Computing
• IEEE Transactions on Network and Service Management
• IEEE Transactions on Computers
• Future Generation Computer Systems
• Software: Practice and Experience
• Journal of Network and Computer Applications

• IEEE Student Member
• Cloud Computing Research Community
• Distributed Systems Research Group

Published: January 2025

Topics: Performance, Optimization, AWS Lambda
Read Time: 8 min read

Published: December 2024

Topics: Architecture, Scalability, Best Practices
Read Time: 12 min read

Published: November 2024

Topics: Benchmarking, FaaS, Performance Analysis
Read Time: 10 min read

Serverless Optimization

• 🚀 Cold start reduction
• 📊 Intelligent autoscaling
• 🔧 Dynamic configuration
• 🎯 Performance optimization

Reinforcement Learning

• 🧠 Deep recurrent networks
• 🔄 Off-policy algorithms
• 📊 Ensemble methods
• ⚡ Real-time optimization

System Architecture

• 🔄 Distributed algorithms
• 📊 Resource management
• 🚀 Scalable systems
• 🔧 System optimization

Community Contribution

• 🛠️ Cloud computing tools
• 📦 Serverless frameworks
• 🔧 Research utilities
• 📚 Educational resources