AI Engineer in India • FastAPI • Multi-Agent Systems

Backend/AI engineerProduct teams • Startups • Applied AI

Priyanshu Pratap Singh

India-based .

I build production AI systems and scalable backend platforms that move from idea to reliable deployment fast.

If you are searching for Priyanshu Pratap Singh, AI engineer, software engineer, backend engineer, FastAPI developer, or Python developer in India, this portfolio highlights production AI systems, scalable backends, and real-world LLM delivery.

Hire me for AI and backend workpriyanshusinghpps786@gmail.com
Currently shippingAgent runtimes, FastAPI systems, and retrieval workflows
Priyanshu Pratap Singh portrait
Best fitAI engineer, backend engineer, and Python developer roles

Searching for Priyanshu Pratap Singh, AI engineer, software engineer, backend engineer, FastAPI developer, or Python developer? This portfolio is built to make that fit immediately clear.

2+Years shipping AI and backend products
40%Latency reduction through async and task offloading
0→1AI platforms built from architecture to production
Open to AI engineer, backend engineer, and FastAPI developer rolesStrong fit for product companies, startups, and applied AI teamsComfortable owning architecture, backend delivery, and AI integrationFocused on reliable systems, clean APIs, and production deployment

AI systems

Multi-agent workflows, RAG pipelines, semantic memory, and MCP tooling.

Backend delivery

FastAPI, async APIs, streaming services, PostgreSQL, Redis, and Celery.

Production mindset

Built for reliability, speed, maintainability, and real product deployment.

Multi-agent systems with LangGraph and HITL controls

FastAPI backends, async systems, streaming APIs, and Celery workers

RAG pipelines, vector databases, semantic memory, and MCP integrations

PostgreSQL data modeling, AWS deployments, and full-stack AI product delivery

Why teams reach out

Software engineering depth with an AI systems mindset

Multi-agent systems with LangGraph and HITL controls

FastAPI backends, async systems, streaming APIs, and Celery workers

RAG pipelines, vector databases, semantic memory, and MCP integrations

PostgreSQL data modeling, AWS deployments, and full-stack AI product delivery

AI Systems

Multi-agent orchestration

LangGraph, MCP servers, HITL approvals, memory, and model routing.

Backend Engineering

FastAPI at production scale

Async APIs, Celery workers, streaming responses, auth, and observability.

LLM Applications

RAG and semantic retrieval

Chunking, embeddings, vector storage, prompt pipelines, and grounded answers.

Databases

PostgreSQL and vector data

Schema design, pgvector, filtering, performance tuning, and multi-tenant thinking.

Cloud Delivery

AWS-ready systems

S3, Bedrock, Cognito, Dockerized services, and deployment-ready architecture.

Team Impact

0 to 1 execution

Product thinking, API design, debugging, documentation, and practical shipping speed.

Experience

Building AI products that hold up in production

Software Engineer

SVAHNAR

May 2024 - Present
  • Engineered a multi-agent orchestration engine using LangGraph with PostgreSQL-backed state, Celery queues, and real-time SSE token streaming across OpenAI and AWS Bedrock models.
  • Integrated MCP servers and Human-in-the-Loop approval flows so operators can pause, inspect, edit, or reject tool calls during execution.
  • Applied async programming, multithreading, FastAPI background tasks, and Celery workers to reduce API response latency by about 40%.
  • Architected an AI platform with Next.js, FastAPI, AWS Cognito, RBAC, and connectors for S3, SharePoint, and Confluence.

Associate Software Engineer Intern

Blackcoffer

Nov 2023 - May 2024
  • Led two client projects end to end and delivered RAG pipelines, data mining scripts, and Python scraping tools that cut manual research effort.
  • Designed secure REST APIs and collaborated across distributed teams using GitHub, Jira, and Agile delivery practices.

Why hire me

Value packaged for recruiters, founders, and engineering teams

Strong for AI Engineer roles

Production experience with AI systems, LLM orchestration, RAG pipelines, semantic search, and tool-enabled agent workflows.

Reliable Backend Engineer profile

FastAPI, PostgreSQL, async services, Redis, Celery, AWS, and scalable API design for customer-facing systems.

FastAPI Developer with delivery speed

Comfortable shipping APIs, streaming endpoints, WebSockets, background jobs, and auth-enabled services that are ready for production.

Software Engineer who can own 0 to 1

Able to connect product thinking, engineering execution, and modern AI capabilities to help teams move quickly without sacrificing reliability.

Search-friendly profile

What I do as an AI engineer, software engineer, and backend engineer in India

This section covers the role phrases recruiters and founders actually search for, from Priyanshu Pratap Singh and AI engineer to backend engineer, FastAPI developer, and Python developer.

AI Engineer

I design and ship production AI systems with multi-agent workflows, RAG pipelines, semantic memory, model routing, and Human-in-the-Loop controls for reliability.

Backend Engineer

My backend work covers PostgreSQL design, Redis, Celery, AWS deployment, service orchestration, performance optimization, and production observability.

FastAPI Developer

I build FastAPI backends with async execution, streaming responses, WebSockets, task queues, authentication flows, and scalable API architecture for real products.

Python Developer

I use Python for APIs, agent runtimes, data pipelines, automation, retrieval systems, and maintainable backend services that are ready for production.

Software Engineer

I take products from idea to deployment by combining software engineering discipline with strong AI implementation, clear system design, and practical delivery speed.

Software Developer

I build full product experiences across APIs, integrations, workflows, and frontend/backend collaboration so teams can ship useful software faster.

Selected work

From agent runtimes to voice-first RAG systems

Open-source AI agent runtime

ARCA

A platform turning natural language into deployed agents in under a minute, with a builder layer, runtime workers, semantic memory, and a CLI-first developer interface.

LangGraphPostgreSQLpgvectorRedisDockerCelery

Voice-first multi-agent assistant

Voice With RAG

A FastAPI system with route-aware agents, token-level WebSocket streaming, PDF ingestion, semantic chunking, Qdrant retrieval, and live search augmentation.

FastAPILangGraphQdrantOllamaWebSocketsTavily

Technical profile

Tools I use to ship fast and responsibly

languages

PythonJavaScriptC++

frameworks

FastAPILangChainLangGraphNext.jsDjangoDRF

ai

RAG PipelinesMulti-Agent SystemsMCP ServersHITL WorkflowsLangSmith

data

PostgreSQLpgvectorQdrantMongoDBMySQL

infra

DockerAWSRedisCelerySystem DesignGitHub

Education

Bachelor of Technology in Computer Science and Engineering

2020 - 2024 • CGPA: 7.6

Contact

Let’s build something sharp, reliable, and hard to ignore

AI engineer and backend engineer with 2+ years building multi-agent systems, RAG pipelines, LLM orchestration platforms, and production-ready FastAPI services.

priyanshusinghpps786@gmail.com+91-7275984821India