SHUBH Systems Engineer
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SHUBH / INDEPENDENT SOFTWARE ENGINEER

I build software systems that are meant to survive production.

Web applications, APIs, automation and internal tools — designed, engineered and shipped end to end.

Start a Project → View Selected Work ↓
Selected Work
01
SHUBH X LAB →

Platform Engineering & Internal Tools

02
PAYMENT ORCHESTRATOR →

High-Concurrency API & Ledger Queue

03
RETRIEVAL & AI GATEWAY →

Autonomous Systems & Vector Cache

LOCATION

India (IST / UTC+5:30)
Working globally

CORE PRACTICE

Web applications, APIs
Automation & infrastructure

AVAILABILITY

Open for selected
technical engagements

01 /

WORK

A selection of systems, applications and infrastructure I've designed and engineered.

01 / SHUBH X LAB

SHUBH X LAB

Platform Engineering & Internal Tools
ROLE Systems Architecture
Full-stack Engineering
STACK PHP 8.2 · MySQL
JavaScript
YEAR 2026
STATUS Production

A modular web platform combining authentication, internal tools, API integrations and automated administrative workflows.

SHUBH X LAB

A modular platform for authentication, internal tooling, API integrations and automated administrative workflows.

01 PLATFORM
02 API
03 AUTOMATION
04 ADMINISTRATION

01 — CONTEXT

Operational scripts, intake endpoints, and file management were previously scattered across ad-hoc tools and manual server uploads, creating maintenance overhead and inconsistent error logging.

02 — ENGINEERING

Engineered a centralized PHP 8 web application featuring a REST endpoint for inquiry routing, a honeypot anti-spam verification layer without third-party tracking, and a dedicated Python deployment pipeline that synchronizes code directly to the cPanel web root.

03 — OUTCOME

Consolidated administrative workflows and project intake into a single self-contained system with predictable deployments, instant email notifications, and zero external framework maintenance overhead.

TECHNOLOGY & ARCHITECTURE

CORE RUNTIME

PHP 8.2 with OPcache on Apache web server, running directly on Linux hosting without external framework overhead.

API & INGESTION

JSON REST endpoint with honeypot anti-spam validation, sanitized payloads, and disk fallback logging.

DATA STORAGE

MySQL database for inquiry logs and records, backed by structured JSON archives on disk.

DEPLOYMENT PIPELINE

Custom Python CLI automation suite executing local-to-cPanel file synchronization, backups, and live server updates.

01 / 03 Next Project →
02 / PAYMENT ORCHESTRATOR

PAYMENT ORCHESTRATOR

High-Concurrency API & Ledger Queue
ROLE Systems Architecture
Backend Engineering
STACK Node.js · Fastify
Redis · PostgreSQL
YEAR 2025–2026
STATUS Production

An idempotent transaction settlement and webhook dispatch engine designed to prevent race conditions during high-volume checkout events. Features asynchronous Redis queues and PostgreSQL transactional isolation.

PAYMENT ORCHESTRATOR

An idempotent transaction engine ensuring ledger consistency and guaranteed delivery across high-concurrency payment events.

01 INGESTION
02 QUEUES
03 LEDGER
04 DISPATCH

01 — CONTEXT

Legacy checkout pipelines relied on synchronous database writes during webhook delivery. When traffic surged during peak events, database connection exhaustion caused cascaded timeouts and dropped confirmations.

02 — ENGINEERING

Decoupled the ingestion endpoint from the database layer using Fastify and Redis BullMQ queues. Implemented distributed Redis mutexes to enforce strict idempotency keys across incoming webhooks, backed by ACID double-entry bookkeeping in PostgreSQL.

03 — OUTCOME

Eliminated transaction race conditions and dropped webhooks entirely. Ingestion response times remained consistent under heavy bursts, with automatic dead-letter queue recovery for failed third-party endpoints.

TECHNOLOGY & ARCHITECTURE

INGESTION LAYER

Lightweight Fastify HTTP service validating incoming webhook signatures and immediately acknowledging requests with 202 Accepted.

QUEUE ORCHESTRATION

Redis BullMQ message queue distributing settlement tasks across asynchronous worker pools with exponential backoff retries.

CONSISTENCY MODEL

PostgreSQL transactional isolation enforcing double-entry bookkeeping with strict idempotency keys to eliminate duplicate debits.

FAILURE RECOVERY

Dead-letter queue isolation for malformed payloads and automated replay tooling for upstream service outages.

02 / 03 Next Project →
03 / RETRIEVAL & AI GATEWAY

RETRIEVAL & AI GATEWAY

Autonomous Systems & Vector Cache
ROLE AI Systems Engineer
STACK Python 3.11 · FastAPI
Qdrant · LangChain
YEAR 2025–2026
STATUS Production

An asynchronous AI coordination gateway with semantic vector caching and streaming fallbacks for document querying. Intercepts repeated semantic queries via vector similarity in Qdrant before reaching upstream model endpoints.

RETRIEVAL & AI GATEWAY

A high-throughput inference gateway providing semantic vector caching, response schema validation, and streaming token dispatch.

01 GATEWAY
02 VECTOR CACHE
03 STREAMING
04 VALIDATION

01 — CONTEXT

Client operations required continuous document querying across distributed datasets. Direct calls to hosted LLM APIs incurred compounding costs, high latency spikes, and fragile prompt parsing failures on complex schemas.

02 — ENGINEERING

Engineered a self-hosted gateway using FastAPI. Built an upstream semantic cache using Qdrant vector similarity to intercept repeated questions before reaching model APIs. Structured fallback chains with Pydantic JSON validation and SSE token streaming.

03 — OUTCOME

Significantly decreased monthly token expenditure for repeated internal queries, eliminated parsing crashes via schema guarantees, and maintained consistent low-latency response streams for client applications.

TECHNOLOGY & ARCHITECTURE

GATEWAY RUNTIME

Python 3.11 with FastAPI and Uvicorn providing asynchronous request handling and Server-Sent Events (SSE) streaming.

SEMANTIC CACHE

Qdrant vector database computing cosine similarity embeddings to intercept duplicate or near-identical queries before API invocation.

OUTPUT VALIDATION

Pydantic strict schema verification guaranteeing validated JSON responses before payloads are returned to downstream clients.

ROUTING & FALLBACKS

Automatic fallback chaining across primary and secondary model endpoints during upstream provider latency spikes.

03 / 03 Explore Capabilities →
02 /

CAPABILITIES

Technical competencies and architectural domains across the modern software engineering stack.

01

Web Applications & Frontends

Next.js · React · TypeScript · Tailwind

High-performance, accessible web interfaces engineered for speed, clean component hierarchy, and resilient client-state management. Focused on fast initial render times, semantic HTML, and zero bloat.

02

API Architecture & Microservices

Fastify · Node.js · Python FastAPI · OpenAPI

Deterministic, documented REST and event-driven backends. Built with strict schema validation, token-bucket rate limiting, idempotent mutations, and robust JWT/OAuth2 authentication topologies.

03

Database Engineering & Caching

PostgreSQL · MySQL · Redis · Index Optimization

Relational schema design, normalization, foreign-key constraints, index optimization, and transaction boundaries. In-memory caching strategies, distributed locks, and asynchronous queue management via Redis.

04

Automation & Data Extraction

Python · Playwright · Headless Workers · Scrapers

Headless browser automation, resilient data scraping pipelines, scheduled reconciliation jobs, and automated webhook parsers built to execute continuously in headless Linux environments.

05

Applied AI & Intelligent Software

Vector DBs · LangChain · Structured Output · RAG

Production LLM integration: Retrieval-Augmented Generation (RAG) over structured and unstructured datasets, vector similarity search, semantic query caching, and guaranteed structured output schemas.

06

Cloud Infrastructure & Security

Docker · Linux · Nginx · cPanel Auto · SSL/TLS

Server hardening, containerized services, automated release scripts, SSL/TLS configuration, reverse-proxy caching, and real-time error logging with proactive telemetry.

03 /

PROCESS

A disciplined, milestone-driven workflow that guarantees architectural transparency, predictable progress, and reliable deliverables.

PHASE 01

Discovery & Specification

Deconstructing business goals into technical constraints: data models, concurrency limits, external API boundaries, and security requirements before writing code.

Output: Written Technical Spec
PHASE 02

Schema & System Design

Drafting relational database schemas, OpenAPI contracts, caching hierarchies, and infrastructure blueprints for client sign-off.

Output: Schema & Contract Approval
PHASE 03

Sprint Execution

Clean, modular code implementation in rapid, testable sprints. Regular staging previews allow you to test actual working software in real environments.

Output: Verified Staging Deployments
PHASE 04

Hardening & Cutover

Integration testing, database migration dry-runs, OWASP security hardening, zero-downtime cutover, and comprehensive handover documentation.

Output: Live Production & Handover
04 /

ABOUT

Engineering philosophy, professional background, and principles of direct senior partnership.

Shubh

Shubh

Systems Engineer & Full-Stack Architect

LOCATION India (IST / UTC+5:30)

DIRECT shubhxlab@gmail.com

REPOSITORY @shubhXlab

Direct Senior Partnership. Zero Agency Layers.

I operate as an independent software engineer. When founders and engineering teams work with me, they engage directly with the engineer writing the architecture specifications, writing the code, and deploying the servers.

Traditional software agencies introduce layers of project managers, account executives, and outsourced junior developers. This inflates budgets and dilutes accountability. My model is the inverse: small, high-leverage engagements where technical decisions are resolved with precision and executed rapidly.

Pragmatic Tech

Choosing dependable, proven technologies tailored to real system requirements rather than following framework hype.

Clean Codebases

Writing self-documenting, modular software with strict type boundaries, complete error handling, and maintainable schemas.

Full Ownership

Every repository, commit, migration script, and infrastructure configuration is 100% owned by your organization from day one.

05 /

INQUIRE

Start a Technical Engagement

Have an upcoming system build, an API to architect, or an existing platform requiring optimization? Submit your parameters below or reach out directly.

Direct Technical Inquiries shubhxlab@gmail.com
Repository & Work github.com/shubhXlab
Response Window Within 24 business hours · Technical reply directly from Shubh
1. Engagement Type / System Focus
2. Architectural Components Needed (Optional)
Direct reply within 24 hours. Confidential.