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Adi40709/README.md
Aditya Sharma — Full Stack Engineer, AI/LLM, Automation, Cloud
Portfolio GitHub LinkedIn



AI systems · automation · distributed backends · production engineering

01 — About

I build full-stack products where AI, automation, APIs, queues, and cloud infrastructure work together as one reliable system.

My engineering focus is on real workloads: asynchronous processing, retries, worker orchestration, validation, observability, and clean service boundaries.

02 — Focus

AI / LLM RAG + Agents + MCP

Backend Node.js + Python

Systems Queues + Workers + Redis

Cloud AWS + Docker + CI/CD

03 — Engineering Stack

Layer

Stack

Frontend

React · TypeScript · Vite · Tailwind CSS · shadcn/ui

Backend

Node.js · Express.js · Python · FastAPI

AI / LLM

RAG · Embeddings · Vector Search · LLM APIs · Agents · MCP

Data

PostgreSQL · MongoDB · Redis

Messaging

RabbitMQ · Queues · Retries · DLQ · Workers

Cloud / DevOps

AWS · Docker · GitHub Actions · CI/CD

04 — Selected Systems

AI Knowledge Platform

RAG · Semantic Search · LLM

Document ingestion, embeddings, semantic retrieval and LLM-powered answers with asynchronous processing.

Repository →

AI Task Manager

React · TypeScript · AI

Modern task-management product focused on clean frontend architecture and AI-assisted workflows.

Repository →

Developer Portfolio

React · GSAP · Three.js

Interactive portfolio built as a visual engineering showcase.

Repository →

05 — Architecture Mindset

Production AI architecture

06 — Current Build Direction

Agentic AI

MCP / tool use

Multi-step workflows

Human-in-the-loop

AI evaluation

Controlled execution

Distributed Automation

Event-driven processing

Queue-based workers

Retry / DLQ strategies

Observability

Failure recovery

07 — Engineering Rules

Reliability > flashy demos Simple architecture > unnecessary complexity Async workflows > blocking long-running requests Validation > blind AI output Controlled tools > unrestricted agent access Production thinking > tutorial thinking

BUILD → AUTOMATE → MEASURE → IMPROVE


Portfolio  ·  GitHub  ·  LinkedIn

Pinned Loading

  1. ai-knowledge-platform ai-knowledge-platform Public

    Internal AI Knowledge Platform - RAG backend with semantic search

    Python

  2. docmind docmind Public

    Chat with your documents, fully offline - local LLM via Ollama, pgvector similarity search, page-level citations

    Python 1

  3. llm-gateway llm-gateway Public

    One API for many LLMs - automatic fallback across Gemini/OpenAI/Claude/Ollama, response caching, per-request cost tracking

    JavaScript 1

  4. queueforge queueforge Public

    Production-pattern distributed job queue - RabbitMQ, retries with backoff, dead-letter handling, KEDA autoscaling on Kubernetes, live dashboard

    JavaScript 1

  5. taxtract taxtract Public

    Documents in, spreadsheets out - LLM extraction with strict schema validation turning invoices and receipts into clean Excel workbooks

    Python 1

  6. webpilot webpilot Public

    Browser automation that thinks - an LLM agent that plans, acts and recovers instead of following brittle scripts

    JavaScript 1