QL query · lang
CoffeeQL
A query language and orchestration engine in Rust — lexer, parser, planner, executor and adapter layer — unifying SQL, document and key-value stores under one chainable syntax.
An AI software engineer who builds the hard parts from scratch — a query language in Rust, conversational and voice AI in production, and the whole engine room that keeps them running.
I don't just use frameworks. मैं build them.
Backend & Systems Engineer → building databases, query runtimes & AI infrastructure from scratch.
Born in Gujarat · forged in code
I build the hard parts from scratch and own them end to end.
My work lives where AI meets systems engineering.I took a Industry AI product from no conversational capability to production systems from owning LLM selection, context management, dialogue state and low-latency deployment.
I'm drawn to foundations. CoffeeQL, my own query language, has a hand-written lexer, parser, planner and executor in Rust and federates across four databases under one syntax. When a problem needs a primitive that doesn't exist, I write it.
I care about the team around the code too I've introduced code-review standards, QA frameworks and Algorithm documentation processes from scratch, and mentored 100+ engineers through data structures and system design.
A query language and orchestration engine in Rust — lexer, parser, planner, executor and adapter layer — unifying SQL, document and key-value stores under one chainable syntax.
An AI-enhanced website search engine — scrape, index, structured retrieval — at sub-200ms latency. I designed stop-word filtering and autocomplete deduplication from scratch for measurably higher precision across 250K+ records.
A Rust data-transformation system built on modular concurrency pipelines for distributed processing, holding sub-100ms latency under load.
Take AI products from zero to live systems from LLM selection, context & dialogue-state management, and symbolic pipelines that turn messy sources into structured, auto-generated documents.
Design languages from the ground up from hand-written lexers, parsers, planners and executors and federate across SQL, document and key-value stores under one syntax.
Build fast, precise search across hundreds of thousands of records and custom relevance scoring, stop-word filtering and autocomplete dedup, tuned for sub-200ms retrieval.
Concurrency pipelines and data-transformation systems that hold low latency under load, built for throughput, correctness and a clean compile.
Own CI/CD, deployment workflows and service-health monitoring end to end, keeping production systems running with zero downtime.
Set up code-review standards, QA frameworks and ADR processes from scratch, and mentor engineers and students through DSA, architecture and scalability.
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