MS Computer Science, Arizona State University | GPA 3.9
I build backend platforms where predictability is a feature. I specialize in failure isolation and low-latency performance, ensuring complex distributed systems remain stable across blockchain, cloud, and data environments.
Specialties: Distributed Systems, Solution Architecture, Full-Stack Development, Low-Latency Infrastructure, Blockchain & RAG Data Pipelines
Base-DeFi-Treasury-Guard | Solidity, Go, Base L2, Alchemy
- Architected a multi-signature treasury guard enforcing role-gated approval workflows on Base L2.
- Optimized smart contract execution to ~178k gas, maintaining minimal on-chain footprints while delegating observability to a Go-based production daemon.
- Reliability: The monitoring service maintains 99.9% uptime with sub-millisecond RPC latency across 12k+ production calls.
Validator-Transaction-Processor | Go, UDP, Concurrency
- Developed a transaction engine sustaining 10k+ packets/sec under load using account-aware conflict detection to allow independent parallel execution.
- Trade-off: Chose UDP over TCP to prioritize throughput and reduce handshake overhead in high-velocity data streams.
Mempool-Sentinel-rs | Rust, Tokio, Ethereum
- Streams Ethereum mempool data (~2k+ tx/sec) using overflow-safe math and batch-processing to track state transitions during network congestion.
- Optimizes data ingestion via Tokio/SQLx to process blocks in ~0.89s with minimal CPU overhead.
Chunking-Policies-in-RAG | Python, FAISS, OpenAI
- Benchmarks chunking strategies against vector database recall metrics to reduce query response time by ~46%.
- Focuses on context-aware retrieval logic to enable real-time Q&A over massive, unstructured document sets.
Distributed-Graph-Pipeline | Kafka, Neo4j, Kubernetes, Go
- Engineered a real-time Neo4j streaming pipeline on K8s; optimized Kafka producer settings to reduce ingestion time from 6 minutes to 10 seconds.
Architectural impact from enterprise and professional projects:
- Distributed Microservices: Designed backend services handling concurrent request loads with fault isolation and retry safety to ensure high availability.
- Infrastructure Optimization: Led the design of observability pipelines that reduced deployment friction through automated regression testing and bottleneck identification.
- Recognition: Recipient of the Infosys Maestro (2021/2022) and Rookie of the Year (2019) awards for technical contribution and system reliability.
| Category | Technologies |
|---|---|
| Infrastructure | AWS, Kubernetes, Docker, Terraform, Kafka, Linux Performance Tuning |
| Data & Core | PostgreSQL, Redis, Neo4j, FAISS, Distributed Systems Design, Git Internals |
| Languages | Rust, Go, Python, C++, Solidity, C# (.NET) |
- Blockchain: R3 Corda Certified Developer, Infosys Certified Blockchain Professional.
- Cloud & Design: Microsoft Azure Fundamentals (AZ-900), Design Thinking Primer.
- Publicity: Featured in Forbes Digital Assets (Oct 2022) for work on a state-level blockchain pilot.
- Corporate: Multiple Infosys Rise and Insta Awards for technical excellence and project delivery.
- Academic: 3.9/4.0 GPA, Master of Science in Computer Science.
- Straight-Edge Lifestyle: Committed to a clean lifestyle (no smoking/no drinking).
- Lifelong Wrestling Fan: Passionate about the storytelling and athleticism of the ring.
- Manchester United: Following the Red Devils since 2006.
- Dietary: Strict Vegetarian (no eggs).
- Pronouns: He/Him.
- LinkedIn: linkedin.com/in/naman20sharma
- Location: Bellevue, WA (Greater Seattle Area)