Hi, I'm Gaurav.
I architect systems at scale.
From sub-10ms betting engines to 30+ microservices and autonomous AI agents. Welcome to my engineering space.
VERIFIED PRODUCTION SKILLS • STACK FROM RESUME
How I Leverage AI: Daily Power Tools & Production Architectures
People frequently ask: “Which AI tools do you know?” I make a sharp, practical distinction between the frontier tools I use daily to build at 10x velocity, and the production agentic architectures I design and deploy.
Daily Frontier AI Tools
Every day, I pair program with frontier foundation models and autonomous agentic IDEs to accelerate ideation, eliminate boilerplate, stress-test architectural decisions, and maintain peak engineering output.
Claude (Anthropic)
Daily DriverPrimary Architecture & Logic Sparring
Complex system design decomposition, heavy refactors, deep algorithmic reasoning, and exhaustive edge-case code reviews.
Google Gemini & Antigravity
Core WorkflowAgentic Engineering & Million-Token Context
DeepMind autonomous agentic pairing, terminal-level workflows, multi-file architectural refactoring, and whole-repository synthesis.
ChatGPT & OpenAI Models
Daily DriverReasoning (o1/o3) & Rapid Prototyping
Fast exploratory logic validation, prompt synthesis, automated unit test suites, and schema contract benchmarking.
Antigravity Autonomous Agents
Agentic NativeTerminal & Subagent Task Orchestration
Executing complex multi-step build validation, automated browser verification, and asynchronous system tasks without friction.
Engineered AI Systems
Beyond consumer chat interfaces, I build production-grade AI platforms: cyclic multi-agent graphs, RAG knowledge systems, telemetry observability tracing, and high-concurrency async streaming APIs.
LangGraph
Production BuiltCyclic State Machines & Multi-Agent Graphs
Building deterministic stateful agent loops, branching decision pathways, memory checkpointing, and human-in-the-loop oversight.
LangChain
Framework CoreModular LLM Harness & Tool Chaining
Integrating toolkits, structured schema output parsing, prompt templates, and vendor-agnostic foundation model adapters.
LangSmith
Telemetry & EvalsObservability, Telemetry & LLM Evals
Real-time production tracing, latency profiling across agent execution steps, prompt versioning, and regression eval suites.
RAG (Retrieval-Augmented Gen)
Production ArchitectureVector Search & Grounded Context Pipelines
Document chunking pipelines, dense semantic embeddings, hybrid keyword + vector retrieval, and zero-hallucination context injection.
FastAPI & Python
High-Throughput RuntimeAsync Inference Endpoints & Streaming (SSE)
High-concurrency async Python runtime, Server-Sent Events (SSE) token streaming, thread pools, and sub-second Time-to-First-Token (TTFT).
How It All Integrates in Production
From user prompt ingestion to cyclic agent reasoning, vector embeddings retrieval, and real-time observability.
Flagship Architectures Engineered for Scale
Real-world systems handling multi-tenant PaaS orchestration, sub-10ms betting odds, 10k+ daily fintech settlements, real-time POS sync, and stateful multi-agent AI graphs.
White-Label Casino Platform & 30+ Microservices Engine
Distributed 30+ microservices architecture powering multi-tenant casino operators with infinite-level dynamic RBAC.
High-Frequency Sports Betting & Market Odds Engine
Processes high-load live market odds data feeds with sub-10ms wager execution via BullMQ and gRPC.
Resilient Fintech Transaction & Settlement Platform
High-volume payment gateway handling ~10,000 daily transactions with multi-bank routing and ACID ledger consistency.
Omnichannel Restaurant POS & Operations Engine
Sub-150ms asynchronous order pipeline with <500ms real-time kitchen tracking across channels.
Autonomous AI Multi-Agent & RAG Orchestration Engine
LangGraph cyclic multi-agent graphs with LangSmith telemetry, hybrid vector RAG retrieval, and async streaming APIs.
Engineering Leadership & Education Timeline
Proven track record leading engineering teams (up to 5 engineers), architecting 30+ distributed microservices, and solving sub-10ms real-time concurrency bottlenecks.