Software Engineer | Distributed Systems · Event-Driven Architecture · Backend Engineering

📍 Tallahassee, FL  |  📧 ysanju10@gmail.com  |  🔗 LinkedIn

I'm a Software Engineer with 6 years of experience building high-throughput, fault-tolerant distributed systems at scale. I specialize in event-driven architectures, async I/O, concurrency models, and production reliability engineering.

I've delivered mission-critical platforms for enterprise clients (AstraZeneca, Ahold) and government agencies — from systems sustaining 10,000+ concurrent TCP connections at sub-10ms p99 latency to AI-assisted pipelines that cut manual effort by 40%. I care deeply about systems that are observable, resilient, and built to last.

Languages

Backend & Architecture

Messaging & Streaming

Cloud & Infrastructure

Data & Storage

Python · FastAPI · React · Docker · Kubernetes

Built a fault-tolerant distributed key-value store from scratch implementing the full Raft consensus algorithm across a 3-node cluster.

• Full leader election, log replication, log compaction, and InstallSnapshot RPC for lagging nodes
• Non-blocking TCP server using Python selectors with connection pooling and custom message framing
• Crash recovery via write-ahead log, voted-for state, and periodic KV snapshots to disk
• REST API with API key auth + React dashboard for live cluster state visualization
• Deployed on Kubernetes with StatefulSets for stable DNS-based node identity

Python · epoll · TCP · Distributed Systems

Built a high-concurrency TCP server sustaining 10,000+ concurrent connections at sub-10ms p99 latency.

• Epoll-based event loop using Python selectors
• Connection lifecycle management with backpressure detection and graceful degradation
• Resolved event loop bottlenecks causing 15% throughput degradation via /proc and ss instrumentation
• Cut load test setup time by 70%, replacing all ad-hoc manual testing

AWS Lambda · API Gateway · DynamoDB · SQS/SNS · CloudFormation

Fully serverless order processing platform with event-driven workflows, Cognito-based RBAC, and full infrastructure-as-code.

Flask · TensorFlow · scikit-learn · NLP

End-to-end NLP pipeline with tokenization, vectorization, and sentiment classification — improved F1-score by 15%.

Key wins:

• 🤖 Built an AI-assisted ticket triage platform (spaCy + NLTK + RabbitMQ) cutting manual effort by 40%
• ☁️ Deployed serverless AWS infrastructure saving $1,000/year in third-party tooling
• ⚡ Delivered 40+ REST/SOAP APIs for AstraZeneca & Ahold as reusable MuleSoft microservices
• 🔒 Enforced enterprise security via OAuth 2.0, LDAP, and client ID validation with Splunk observability

• M.S. Computer Science — Middle Tennessee State University (Dec 2023)
• B.Tech Electronics & Communication — Lovely Professional University, India (Jun 2017)

✔ Distributed Systems & Consensus Algorithms
✔ High-Concurrency Networking (TCP, Async IO, epoll)
✔ Event-Driven Architecture (RabbitMQ, SQS, Kafka)
✔ System Design, Fault Tolerance & Observability
✔ Cloud-Native Development (AWS, Docker, Kubernetes)
✔ NLP / ML Integration in Production Systems

Feel free to explore my repos or reach out — always happy to connect with fellow engineers building things that matter.