Research Papers

Foundational to DynamoDB, which you used extensively at Amazon for the Work Allocation Platform.

Foundational paper for distributed storage — the architecture behind HDFS and cloud object stores you work with on OCI/AWS.

The programming model behind large-scale batch processing — relevant to distributed task allocation patterns in your Oracle platform.

You use Kafka for event-driven architectures at Oracle. This paper explains the core design decisions behind its throughput.

Consensus is central to the distributed systems you build. Raft is used inside etcd (Kubernetes' brain), which you deploy on daily.

Distributed locking and leader election — patterns you implement in cross-region Oracle services.

Globally consistent transactions — relevant to your cross-region service architecture at Oracle Health.

The transformer architecture that likely underpins your M.Tech thesis work on biomedical text classification.

Directly relevant to your M.Tech thesis on Biomedical Knowledge Graphs for ADR classification.

The paper that started the transformer revolution — essential context for your NLP research at IIT Kharagpur.

Core knowledge graph embedding technique — directly applicable to your KG-based ADR classification thesis.

Comprehensive survey of KG embedding methods — essential reference for your thesis work on biomedical KGs.

Borg is the predecessor to Kubernetes, which you use for container orchestration at Oracle.

The design behind wide-column stores (HBase, Cassandra) — architectural patterns you encounter in OCI cloud services.

A beautiful randomized algorithm — as a GATE AIR 116 holder and former Algorithms-1 TA at IIT KGP, this is a worthwhile deep read.

Redis sorted sets use skip lists internally — connects your algorithms expertise to your distributed systems work.

Combines Dynamo's partitioning with Bigtable's data model — patterns you encounter across Oracle and Amazon services.

RAG connects your KG expertise with modern LLM architectures — the bridge between your thesis and current AI trends.

Consistent hashing is used in DynamoDB, Cassandra, and your distributed cache project — bridges algorithms and systems.

Bridges your SDE background with ML — essential reading given your hybrid engineering + research profile.

Distributed ML infrastructure — connects your distributed systems expertise with ML training at scale.

The paper that invented relational databases.

Foundation of Go's concurrency model.

Logical clocks, vector clocks — foundational for everything you build.

Shapes how TCP/IP, microservices, and API design are reasoned about.

Why distributed objects aren't the same as local ones — still misunderstood today.

PageRank + early Google — still relevant for graph ranking and search.