I am Rahul, and this document presents an overview of my contributions to Solana, Web3, and blockchain development. This is my Proof of Work (PoW).
Twitter: @rhul_am
LinkedIn: My LinkedIn
GitHub: Artimus100
I worked on the architecture and implementation of CollectorCrypt’s production NFT marketplace, building the system across smart contracts, backend infrastructure, transaction execution, indexing, asset handling, offers, escrow, and payments.
The marketplace supports multiple Solana asset types, including standard NFTs, programmable NFTs, compressed NFTs, and Core assets. I worked on the underlying delegation, listing, offer, escrow, settlement, and transfer flows required to support these assets safely.
One of the larger systems I worked on was the marketplace offer infrastructure, which grew to support 800K+ offers. I designed the offer lifecycle around escrow funding, matching, editing, cancellation, claiming, and settlement, while working on a compressed-state architecture using Light Protocol to reduce the cost and storage overhead associated with large amounts of marketplace state.
I also worked extensively on the backend infrastructure surrounding the marketplace, including Node.js/TypeScript services, PostgreSQL, Redis, Solana RPC, transaction simulation, blockhash management, Address Lookup Tables, Compute Budget instructions, priority fees, retries, and state reconciliation.
I contributed to an EVM-to-Solana bridge, working on the infrastructure required to connect transaction flows and backend services across the two ecosystems.
The broader CollectorCrypt platform has publicly reported $1B+ in cumulative transaction volume, providing the production environment and scale in which this marketplace infrastructure was developed.
At an early-stage startup, I worked directly with the founders and eventually took on Founding Engineer → CTO responsibilities.
I designed and operated backend infrastructure across Node.js, Bun, Edge Workers, WebSockets, Redis, and blockchain systems, with an emphasis on low latency and reliability.
The infrastructure included real-time streaming of trades, prices, and analytics; Redis Pub/Sub and queueing; backpressure handling; retry and recovery systems; autoscaling; rate limiting; failure isolation; CI/CD; and production observability.
I also integrated Solana and EVM systems into the backend for transaction processing and state synchronization. The systems were designed to remain stable during traffic spikes and adversarial bot activity, with production reliability reaching 99.99% uptime.