I specialize in the intersection of systems architecture, software engineering, and performance optimization. My research explores:

• Storage Systems & Database Internals - Building next-generation storage systems optimized for modern analytical workloads
• Distributed Computing & Machine Learning - Developing scalable frameworks for distributed data processing and federated learning
• Systems Performance - Analyzing and optimizing performance bottlenecks in complex environments, including energy efficiency
• Software Engineering - Designing robust architectures for large-scale systems infrastructure and worklows/processes for people.

As the Founder of Vitality AI, I'm leading the development of WarpDrive, an open-source object storage service designed for:

• Modern analytical workloads requiring high throughput
• Storage disaggregated architectures (SDAs)
• Resource-efficient data management at scale

As the leader of this open-source effort with 10+ contributors, I:

• Create a welcoming space for both beginners and experienced devs
• Mentor others and write clear docs to help people get hands-on with systems programming
• In a world driven by AI, advocate for understanding the fundamentals
• Build a community grounded in curiosity and learning from first principles
• Keep everyone motivated by explaining why we're building what we're building

Research Associate, Indian Institute of Science (IISc) (Aug 2024 – Present)

• Working in the DREAM:Lab on distributed systems, federated learning, and energy-efficient computing
• Developed and benchmarked federated learning frameworks for client selection and aggregation strategies
• Conducted scalability experiments on Nvidia Jetson clusters to improve performance within fixed energy budgets

• Flotilla: A Scalable, Modular and Resilient Federated Learning Framework for Heterogeneous Resources - Journal of Parallel and Distributed Computing, May 2025 A framework that outperforms existing solutions for federated learning across heterogeneous computing environments

• Federated Learning within Global Energy Budget over Heterogeneous Edge Accelerators - Euro-Par 2025 (To appear) FedJoule: An energy-efficient client selection strategy that jointly optimizes power and time on heterogeneous devices

• Software Engineer in Research at Manhattan Associates (Feb 2023 - Aug 2024)

  • Designed and developed microservices with Java, Spring, Angular, and RabbitMQ
  • Led migration of the Carrier Mobile App from Angular 5 to Angular 17 with Ionic and Capacitor
  • Proposed schema-aware copilot for database queries, selected as a top-10 innovation

• Product Engineer at Maybank, MBB Labs (June 2020 - Feb 2023)

  • Developed React-based design system used by all development teams
  • Built document management service serving 3000+ branches in Malaysia

💻 Languages: Java, C++, JavaScript/TypeScript, SQL, Python, Rust
🛠️ Frameworks: Spring, React/React Native, Angular, Ionic, PyTorch, TensorFlow
📊 Databases: OracleDB, MySQL, MariaDB, MongoDB, Cassandra, Redis
🔄 Messaging: Apache Kafka, RabbitMQ
☁️ Infrastructure: AWS, Docker, Linux, Proxmox

📊 Database Internals & Storage Systems
🔄 Distributed Systems & Transaction Processing
🔍 Performance Analysis & Optimization
💻 Software Engineering & Architecture
🌐 Federated Learning & Edge Computing

I'm actively seeking research collaborations in:

• Novel storage architecture design
• Distributed systems performance optimization
• Software engineering for systems infrastructure
• Open-source infrastructure development

Feel free to reach out via LinkedIn or email at tchandrashekar@acm.org to discuss potential research partnerships, technical challenges, or opportunities at the intersection of systems research and practical implementation.