Shaik Yajash

Software Development Engineer

Garden.finance

• Engineered a Rust service to enable HTLC-based atomic swaps between Spark and various blockchain networks including Bitcoin, Ethereum, and Solana — spawning isolated per-swap wallets and driving each through a custom state machine to reliably settle trades.
• Architected a scalable analytics service in Rust with advanced device fingerprinting, improving user tracking accuracy by 15% across 50K+ daily active users.
• Built an AI-integrated MCP agent and LangChain adaptor with a frontend interface, reducing agent-to-user response latency by 30%.
• Implemented a Rust-based cryptographic algorithm for internal tools, enhancing performance and maintaining compliance with security standards.
• Engineered the backend for “Standard,” a multi-chain Wallet-as-a-Service (WaaS) serving dApps with HD wallet capabilities, and reduced inter-service coupling through migration to a hexagonal architecture.

• Built a passwordless polling platform in Rust with passkey authentication and Server-Sent Events (SSE), achieving sub-200ms vote propagation to concurrent users.
• Ensured atomic vote recording using PostgreSQL transactions with zero data inconsistencies, and reduced Docker image size by 60% through optimized multi-stage builds.
• Deployed on Amazon ECS with auto-scaling, maintaining 99.9% uptime.

RustPostgreSQLDockerAmazon ECSPasskey AuthSSE

• Built a Rust CLI tool mirroring GNU Parallel, enabling concurrent command execution across threads and achieving a 40% reduction in batch script execution time.
• Implemented channel-based and shared-state concurrency models with a custom thread pool for efficient parallel task scheduling.

RustConcurrencyMultithreadingThread Pools

• Developed a real-time multiplayer game using WebSockets, achieving sub-50ms state synchronization latency for 20+ simultaneous players.
• Integrated WebRTC for peer-to-peer video communication with under 100ms connection setup, enabling seamless live in-game interaction.

WebSocketsWebRTCNode.jsJavaScript

Smart India Hackathon (SIH) Finalist

Built a healthcare services platform serving 3 user roles as part of a 6-member team.

1st Runner-Up, Datathon (Pickl.AI × TansOrg)

Developed an ML model achieving 92% accuracy for automated loan approval.

Lovely Professional University

Bachelor of Technology – Computer Science and Engineering · Phagwara, Punjab

Sri Chaitanya College

Intermediate; Percentage: 95% · Andhra Pradesh, India