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║  PROCESS  : sahil.sharma                                                         ║
║  ROLE     : AI-Native Software Engineer · Systems Architect                      ║
║  STACK    : GenAI · AWS (EKS, ECS, EC2) · Kubernetes · MERN · PostgreSQL · Pinecone ║
║  UPTIME   : B.Tech CSE Sem 5 @ JSS Academy of Technical Education, Noida         ║
║  STATUS   : ▶ ARCHITECTING INTELLIGENT, PRODUCTION-GRADE DISTRIBUTED SYSTEMS    ║
╚═══════════════════════════════════════════════════════════════════════════════════╝

I design and engineer AI-native platforms and resilient cloud infrastructure — deterministic LangGraph multi-agent workflows, isolated Kubernetes and AWS execution environments, high-concurrency MERN microservices, Pinecone vector pipelines, and ACID-compliant PostgreSQL data layers. Every abstraction I implement can be traced back to the network packet, container cgroup, and disk seek beneath it.

"The abstraction layer is a lease, not a permanent home. Own the metal beneath it."

ARCHITECTURE: microservice cluster + dynamic kubernetes pod lifecycle
STATUS:       ██████████ active · production
REPOSITORY:   github.com/Sahil-coder-30/Capstone

An enterprise-grade, browser-based cloud IDE where every developer and AI agent gets an isolated Kubernetes sandbox pod with a live Vite dev server, a File System API sidecar, an interactive PTY terminal server, and a real-time S3 sync daemon. Asymmetric scaling decouples compute-heavy LangGraph agent loops from stateless JWT authentication and high-concurrency WebSocket proxies, isolating blast radiuses and guaranteeing zero cross-tenant contamination.

AWS EKS Kubernetes Docker Skaffold LangGraph GenAI Node.js Express React TypeScript MongoDB Redis AWS S3 WebSocket

ARCHITECTURE: cloud-native microservices + tamper-evident custody pipeline
STATUS:       ██████████ active · sih 2026
REPOSITORY:   github.com/Sahil-coder-30/Pharma_Chain

Decentralized pharmaceutical provenance infrastructure built for Smart India Hackathon (SIH 2026) to dismantle India's ₹40,000+ Crore counterfeit medicine crisis. Implements a dual-tier serialization model (Carton aggregation + Unit-level GS1 DataMatrix), immutable chain of custody pipelines, ECDSA P-256 (ES256) cryptographic signatures, and cross-tier custody verification spanning 3 web portals and 2 React Native mobile applications.

AWS ECS Kubernetes PostgreSQL MongoDB Spring Boot Node.js React 18 React Native (Expo) ECDSA ES256 Docker

ARCHITECTURE: real-time streaming answer synthesis + pinecone vector grounding
STATUS:       ██████████ active · shipped
REPOSITORY:   github.com/Sahil-coder-30/JIGYAZA

A Perplexity-class autonomous research and reasoning engine built from scratch. Features a sub-120ms hybrid Socket.io streaming pipeline, iterative query decomposition grounded through Pinecone vector retrieval and live search grounding, multi-agent synthesis, and deterministic source extraction. Hardened with Redis JWT blacklisting, session state caching, and Kubernetes production manifests.

GenAI LangChain Pinecone Tavily AI Socket.io Redis Node.js Express React 19 Redux Toolkit Kubernetes

ARCHITECTURE: distributed crawling + agentic legal compliance rag
STATUS:       ██████████ active · shipped
REPOSITORY:   github.com/Sahil-coder-30/YourCrawl

A high-performance enterprise crawler and legal compliance audit engine that audits web pages for deceptive UI patterns and automatically maps findings to specific statutory clauses in the DPDP Act, EU AI Act, and CCPA. Built on a modular pipeline: Puppeteer headless browser orchestration with robots.txt compliance → structured DOM token analysis → Pinecone semantic statutory retrieval → automated GenAI verification and reporting.

Next.js 14 TypeScript Puppeteer GenAI Pinecone PostgreSQL Tailwind CSS AWS EC2

GenAI & Multi-Agent Intelligence

Cloud, Containers & Infrastructure

Backend & Distributed Architecture

Databases & Vector Storage

Frontend & Mobile Engineering

  

SAHIL(1)                       Developer Manual                       SAHIL(1)

NAME
    sahil — ai-native software engineer, systems architect

SYNOPSIS
    sahil [--build] [--genai] [--cloud-aws-k8s] [--systems]

DESCRIPTION
    Designs production-grade AI-native platforms, Kubernetes & AWS sandboxes,
    and agentic intelligence loops as a B.Tech CSE undergrad.
    Engineers high-concurrency MERN & PostgreSQL distributed systems.
    Bridges foundational computer science with cutting-edge GenAI.

OPTIONS
    --build           MERN stack + PostgreSQL + Pinecone + real-time Socket.io
    --genai           LangGraph agent loops, Pinecone vector search, RAG pipelines
    --cloud-aws-k8s   AWS EKS, ECS, EC2, Kubernetes pod orchestration, Skaffold
    --systems         ACID transactions, caching topologies, fault tolerance
    --friends         Samarth, Meghanshu, Shubh
    --hardware        Apple Silicon M4 · macOS

PHILOSOPHY
    The abstraction layer is a lease, not a permanent home.
    Trace your queries to disk seeks.
    Map your variables to memory.
    Design for fault isolation at every boundary.

SEE ALSO
    github(1), genai(1), kubernetes(1), aws(1), postgresql(1)

SAHIL                           2026                                  SAHIL(1)

_{Systems don't lie. Code doesn't bluff. Ship or be shipped.}