Software Engineer

Sahil
Shah

Building scalable backend systems, distributed architectures, and cloud-native platforms.

Shipping production‑ready Go services
View ProjectsGet in Touch
01 / About

A bit about me

I'maSoftwareEngineeratCloudanix,whereIbuildmulti-cloudsecurityinfrastructurespanningAWS,GCP,andAzure.Myday-to-dayinvolvesdesigningdistributedsystems,buildingJITaccesscontrols,andarchitectingeventprocessingpipelinesonKubernetes.

I studied AI & Machine Learning at Pune University (2020–2024), which gave me a strong foundation in both systems thinking and intelligent automation. These days I lean heavily into backend engineering, cloud-native platforms, and GenAI tooling.

Outside of work, I'm usually building side projects that push me into unfamiliar territory — whether that's a deployment platform, a distributed judge system, or an AI-powered expense tracker. Web3 is on the radar next.

📍

Location

India (Remote)

⚡

Currently

Learning K8s & gRPC🚀

🎯

Interests

Systems · Cloud · GenAI

🔮

Next Up

Exploring Web3 & WebRTC

Sahil Shah

Sahil Abhijit Shah

@sash2721

GoPythonTypeScript

4+

Projects Shipped

1+

Years Experience

02 / Skills

Tech Stack

Tools and technologies I use to build scalable, production-grade systems.

30+

Technologies

6

Categories

{ }

Languages

5
GoPythonTypeScriptJavaC++
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Backend & APIs

9
REST APIsgRPCMicroservicesFastAPIFlaskNode.jsExpressFastifyChi
☁

Cloud & DevOps

7
AWSGCPAzureDockerKubernetesCloudflareCloud Run
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Databases & Messaging

6
PostgreSQLMongoDBMySQLRedisRabbitMQKafka
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Systems & Architecture

5
Distributed SystemsEvent-drivenQueue ProcessingService DiscoveryObservability
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AI / Data

8
LLMsRAGsMCPsPyTorchLangChainOCROpenCVPrompt Engineering
03 / Projects

Things I've Built

A selection of projects that showcase my passion for backend engineering, distributed systems, and building tools that solve real problems.

01

Visora

AI-Powered Expense Tracking Platform

Microservices-based platform that extracts, structures, and analyzes receipt data using OCR and LLMs. Features a Go REST API with JWT auth, GenAI pipeline with FastAPI, and intelligent expense categorization.

OCR + LLM pipeline for receipt-to-data transformation
Analytics caching to reduce LLM calls and latency
AWS ECS Fargate with Cloud Map service discovery
Secured via AWS SSM + Cloudflare Tunnel
GoPostgreSQLFastAPIReactGemini/GroqDockerAWS ECS Fargate
02

Relay

Rapid Deployment Platform

A deployment platform designed to build and ship applications within minutes, supporting Node.js, Python, Go, and modern frontend frameworks.

Container-based deployment pipeline
Queue-driven job orchestration with Redis
Multi-language project support
Low-latency provisioning
GoTypeScriptNext.jsDockerRedis QueuesPostgreSQL
03

CodeStars

Distributed Online Judge System

A distributed online judge handling problem management, code submission, and secure evaluation at scale using microservices.

Secure Docker-sandboxed code execution
Async evaluation via RabbitMQ
Real-time updates with WebSockets
Multi-service architecture
TypeScriptNode.jsFastifyDockerRabbitMQMongoDBWebSockets
04

NovaNest

Real-Time Chat Application

Real-time chat application enabling instant communication through WebSocket-based messaging with persistent storage.

WebSocket-based low-latency messaging
Scalable concurrent user handling
Persistent message storage with MongoDB
JavaScriptNode.jsExpressMongoDBReactWebSockets
04 / Experience

Where I've Worked

Building cloud-native security infrastructure at scale.

Currently employed

Software Engineer

Cloudanix

·

Remote (Sunnyvale, CA, USA)

Aug 2024 – Present
  • Built multi-cloud JIT Database Access system across AWS, GCP, and Azure
  • Developed cross-cloud query logging system storing logs in S3, GCS, and Azure Blob
  • Implemented JIT VM access across EC2, GCE, Azure VMs, and on-prem environments
  • Architected centralized Wazuh-based event processing system on Kubernetes (GKE)
  • Built AutoInstall system using AWS SSM and queue-based processing for large-scale agent deployment
  • Worked extensively on distributed systems, cloud-native infrastructure, and scalable backend design
05 / Education

Background

🎓

B.Tech in AI & ML

Pune University

2020 – 2024
Machine Learning
Distributed Systems
Data Structures
Algorithms
Cloud Computing
06 / Contact

Let's Connect

I'malwaysopentointerestingconversations,collaborations,oropportunities.Whetheryouhaveaquestionorjustwanttosayhi—feelfreetoreachout.

Say Hello

sahilshah2104@gmail.com