AVAILABLE FOR PRODUCTION AI SYSTEMS & PRODUCTS

LUCKY
PATEL

|
4+Years Exp
15+Systems Shipped
6+AI Products
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RAG Systems/LLM Apps/AI Agents/Agentic Workflows/CrewAI/LangGraph/Next.js/Node.js/React/TypeScript/Python/GraphQL/MongoDB/OpenAI/LangChain/Vector DBs/AWS/RAG Systems/LLM Apps/AI Agents/Agentic Workflows/CrewAI/LangGraph/Next.js/Node.js/React/TypeScript/Python/GraphQL/MongoDB/OpenAI/LangChain/Vector DBs/AWS/

Engineering Philosophy // About

Turning LLM Demos into High-Throughput
Production Businesses.

I'm Lucky Patel, an AI Systems Engineer and Full-Stack Architect with 4+ years of production experience. I don't just build AI prototypes—I architect and deploy production systems that process thousands of records at scale.

As a sole engineer and founding architect, I own every layer of the engineering stack: relational schemas, dense vector search, hybrid BM25 retrieval, Next.js UI/UX, WebSocket streaming, and containerized cloud deployment on DigitalOcean.

lucky@ai-systems ~

// core convictions

$ cat /etc/convictions.log

> "First-party data moats over rented API wrappers."

> "Event-driven career identities over static PDFs."

> "Sub-second vector retrieval with hybrid BM25 search."

$ echo $FULL_STACK_OWNERSHIP

DB Schema → Vectors → Backend → Next.js UX → Docker → Infra

$

Current Obsessions & Architectural Convictions

Event-Driven Career Identity

Careers aren't static PDFs—they're continuous event streams across 3 temporal horizons. People deserve to be seen through dynamic data moats, not flat bullet points.

First-Party Data Moats

Rented API wrapper apps get commoditized overnight. Defensibility comes from owning custom vector indexing, domain data pipelines, and proprietary retrieval schemas.

Full Team Multiplier

Single-handedly replacing an entire engineering department—from PostgreSQL schema & vector indexing to Next.js UX, Node APIs, Docker, and DigitalOcean cloud infra.

Workflow-Scale Agents

Designing multi-agent autonomous swarms (LangGraph & CrewAI) that replace entire high-friction manual workflows—not just automate minor tasks.

Engineering Capabilities // Services

What I Build & Deliver.

Recruitment Tech & SaaS Startups

LLM Application Engineering

Production RAG systems, AI agents, and LLM-powered products. From dense vector retrieval pipelines to streaming chat interfaces.

RAG PipelinesLangGraphClaude / GPT-4Vector Indexing
B2B SaaS Companies & Agencies

Full-Stack SaaS Architecture

End-to-end multi-tenant SaaS platforms built with modern frameworks. Database schema design, REST/GraphQL APIs, and cloud deployments.

Next.js 16Node.jsPostgreSQLPrisma ORM
Enterprise Operations & Media

AI Integration & Automation

Embed production AI pipelines into existing products. Automated document parsing, sentiment analysis, audio transcription, and workflow swarms.

Whisper APIFastAPIRedis QueuesStreaming
Data-Intensive Applications

Production AI Infrastructure

High-throughput vector search databases, embedding pipelines, and optimized inference layers handling thousands of production requests.

pgvectorPineconeDigitalOceanDocker
FinTech & Real-Time Monitoring

Real-Time Event Systems

WebSocket-based platforms, live telemetry dashboards, and event-driven architectures for applications that demand instant latency.

WebSocketsSocket.ioRedis Pub/SubEvent-Driven
Founders & Technical Leaders

AI Strategy & Technical Scoping

Technical consulting on where AI fits in your architecture. Build-vs-buy evaluations, prompt chain optimization, and MVP roadmap design.

Architecture AuditMVP ScopingLLM StrategyRoadmaps

Have a Production System to Build or Upgrade?

Get a direct technical architecture review & scoping call for your AI pipeline or SaaS product.

Get Technical Scoping Call

Engineering Stack

Production Engineering Stack.

AI Architecture & RAG

Custom RAG Pipelines

Chunking strategies, dense vector search, hybrid BM25 retrieval

Vector Indexing

pgvector, Pinecone, Qdrant similarity search algorithms

Semantic Reranking

Cross-encoder scoring for high-precision retrieval context

LLM Orchestration

Claude, GPT-4, Llama, zero-shot structured JSON schemas

Prompt Engineering

Few-shot optimization, Chain-of-Thought reasoning

Agentic Workflows

LangGraph

Stateful multi-agent graphs & conditional execution routing

CrewAI

Role-based agent teams & collaborative task delegation

Python / FastAPI

High-concurrency async AI backend services

Function Calling

Tool use, API orchestration, and agentic workflows

Full-Stack SaaS Stack

Next.js 16

App Router, SSR, Server Components, Edge routes

React 19 & TS

Strict TypeScript, hooks, reactive UI state

Node.js

Express, WebSockets, real-time event streaming

Tailwind & WebGL

TailwindCSS, Three.js 3D shaders, Framer Motion

Data Infra & DevOps

PostgreSQL & Prisma

Relational schema design, Prisma ORM, query tuning

Redis

Caching layers, pub/sub event queues, job workers

DigitalOcean

Droplet orchestration, Nginx reverse proxy, SSL

Docker & CI/CD

Containerized builds, GitHub Actions automated deployment

Production AI Systems

Systems & Infrastructure I've Built.

FLAGSHIP SYSTEM // PRODUCTION ARCHITECTURE

Estana

End-to-end multi-tenant SaaS ATS built for SME recruitment agencies. Engineered with custom RAG retrieval pipelines, structured LLM prompt chains for resume parsing, and semantic candidate matching across active talent pools.

  • 3,000+ candidates processed in 1.5 months
  • RAG & Few-Shot Prompts for 98% Parsing Precision
  • Sole Architect & Engineer from Schema to Infra
Next.jsNode.jsPostgreSQLPrisma
FLAGSHIP SYSTEM // PRODUCTION ARCHITECTURE

Graph

Event-driven professional identity system built as a Founding Engineer. Replaces static resume PDFs with a dynamic timeline powered by RAG embeddings, AI skill enrichment, and persistent Graph IDs.

  • Founding Engineer
  • Event-Driven Professional Identity Engine
  • 3-Horizon Timeline (Today, Event-Driven, Over-Time)
Next.jsTypeScriptRAG EmbeddingsVector Search

ChatGenius

Production RAG assistant that ingests company documents and answers questions with source citations. Custom retrieval pipeline with vector search, chunking strategies, and streaming LLM responses.

  • 10K+ documents indexed
  • <800ms time-to-first-token
  • 95% citation accuracy
Next.jsOpenAIPineconeLangChain

AI Interview Analyst

End-to-end system that transcribes interview recordings, extracts key insights, and generates structured analysis reports. Audio processing, speaker diarization, and LLM-powered summarization.

  • 60min audio → report in <2min
  • 90%+ speaker diarization accuracy
  • Structured scoring across 12 dimensions
PythonWhisperGPT-4FastAPI

Semantic Search Engine

Document search platform converting unstructured text into vector embeddings with contextually relevant retrieval. Multi-tenant indexing, hybrid keyword + semantic search, and relevance tuning.

  • 100K+ documents indexed
  • <500ms p95 retrieval latency
  • 30% relevance lift over keyword-only
OpenAI EmbeddingsPineconeNext.jsNode.js

AI Content Pipeline

Automated content generation system running inputs through LLM chains for drafting, editing, and formatting. Human-in-the-loop review and version tracking built in.

  • 3-stage LLM chain
  • 70% reduction in drafting time
  • Full version diff audit trail
LangChainGPT-4RedisReact

Multi-Agent Research Bot

Agentic workflow system where specialized AI agents collaborate to research topics, gather data, cross-verify facts, and produce comprehensive reports. Role-based agent teams with shared memory.

  • 4 specialized agents coordinated via LangGraph
  • 85% fact-check agreement rate
  • Reports generated in <5min
CrewAILangGraphOpenAIPython
+

More Systems & Workflows

Private Enterprise & Client Repos

Contact

Let's build something real.

Building an AI product, need a technical co-builder, or want to integrate LLMs into your stack? I ship production AI systems. Let's talk.

Location

Ahmedabad, Gujarat, India