SSoham ShahLet's talk
Hello, I'm

Soham ShahBuilding AI Systems
That Scale

Python full-stack engineer with 5+ years of experience building scalable APIs, microservices, real-time data pipelines, and cloud-native backend systems.

View Projects Resume
AI / ML
LLM / GenAI
Data / Streaming
Backend
Infra
Databases
01 / About

Engineering with purpose, not just complexity.

I'm a Python full-stack engineer with deep experience in scalable backend systems, APIs, microservices, and cloud-native platforms.

My work spans high-volume payment workflows, content ingestion and moderation pipelines, real-time data processing, developer-facing APIs, and modern backend systems that integrate AI capabilities. I focus on performance, reliability, developer experience, and systems teams can operate with confidence.

5+Years building software
40%Moderation latency reduced
28%API latency improved
35%Developer integration success improved
PythonSQLJavaScriptTypeScriptReactNext.jsDjangoFastAPIFlaskGraphQLKafkaSparkAWSDockerKubernetesPostgreSQLRedisOpenTelemetryLLM Systems
02 / Selected projects

AI products shaped into useful systems.

Selected builds across retrieval, multimodal intelligence, and knowledge graph interfaces.

Real-Time AI Content Moderation

Built an event-driven content moderation platform that classifies user-generated text as safe or harmful in real time. The system uses Kafka-compatible Redpanda for asynchronous processing, an AI inference service for toxicity and policy-risk detection, and PostgreSQL for moderation results and audit history. Designed independent microservices for ingestion, moderation, notifications, and auditing, with Docker and Kubernetes for scalable deployment.

ReactFastAPIRedpandaPostgreSQLAI InferenceKubernetes
GitHub

Eleven Madison Park Q&A Chatbot

Built a FastAPI-based RAG chatbot that answers questions about Eleven Madison Park using scraped restaurant website data. The system uses OpenAI embeddings with Pinecone vector search for retrieval, an OpenAI chat model for response generation, and a custom browser-based chat UI. Deployed on Render with a Hostinger-managed custom subdomain.

FastAPIOpenAI APIPineconeRAGJavaScriptRender
GitHub Live Demo
03 / Experience

Where I've built, learned, and scaled.

Full Stack Engineer — Stripe

Jun 2024 - Present · San Francisco, CA

  • Engineered Python REST APIs for high-volume payment workflows, improving request processing efficiency by 32%.
  • Reduced API response latency by 28% through optimized routing, caching strategies, and query execution.
  • Improved developer integration success by 35% through clearer API usability, error handling, and documentation.
  • Built Python and Node.js SDK integrations that abstracted API complexity for client applications.
  • Implemented backward-compatible API versioning for stable feature rollouts and version-controlled contracts.
  • Designed microservices for payment, billing, and identity workflows with independently deployable services.
  • Integrated AWS SQS and Kinesis for reliable asynchronous event handling, retries, and failure scenarios.
  • Deployed containerized services with Docker, Kubernetes, and AWS EKS for production-grade scalability.
  • Improved observability with AWS CloudWatch, centralized logging, debugging workflows, and reliability tooling.

Software Engineer — Meta

May 2020 - Jul 2023 · India

  • Built Python backend services for content ingestion and moderation, improving processing efficiency by 35%.
  • Reduced moderation latency by 40% by optimizing real-time content pipelines with ML inference and event streaming.
  • Enhanced classification accuracy by 28% through ML scoring pipelines and refined feature processing logic.
  • Developed Python, REST, and GraphQL APIs connecting ingestion systems, ML scoring services, and review applications.
  • Engineered Python, SQL, and Apache Spark pipelines for batch and streaming feature processing.
  • Integrated Kafka event streaming for asynchronous high-throughput content scoring and moderation flows.
  • Designed modular microservices for ingestion, scoring, and review workflows across private cloud environments.
  • Built React dashboards and API integrations for moderation decisions, tracking, and operational metrics.
  • Implemented distributed data store and caching integrations for low-latency content processing.
04 / Education

A strong foundation in computer science.

2023 — 2025

Master of Science in Computer Science

Binghamton University, State University of New York

2017 — 2021

Bachelor of Engineering in Computer Engineering

University of Mumbai

05 / Contact

Let's build something
great together.

I'm open to software engineering opportunities, product collaborations, and conversations about backend, cloud, or AI systems.

Start a conversation