Thane, Maharashtra, India

Shreya Shet

Engineer

Building scalable backends, full-stack products, and production systems, with strong AI/LLM skills where they add real value.

4+ years experience
Backend · Full-stack · APIs
Python · TypeScript · React
AI/LLM · RAG · agents · voice
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About

Engineer with 4+ years shipping backend APIs, async pipelines, and full-stack applications across HealthTech, voice platforms, and document systems. Solid foundation in Python, FastAPI, Node.js, PostgreSQL, and React, with hands-on AI experience from production work: RAG pipelines, LLM integrations, and voice agents at scale (28,000+ automated calls, 20,000+ documents processed).

Experience

SSingularity Technologies

Engineer

Jan 2024 – Present

  • Led development of OutCallerAI, a production voice AI platform processing 28,000+ automated calls across real estate, healthcare, logistics, and pharma clients.
  • Designed LLM-powered conversational call flows using function calling, OpenAI/Gemini APIs, and real-time telephony integration.
  • Built multi-agent orchestration pipelines using Pipecat for speech processing, context retrieval, memory, and tool calling for autonomous call handling.
  • Designed org-specific RAG pipelines with vector embeddings and semantic search per enterprise client.
  • Architected async post-call pipelines (Celery + Redis) for lead scoring, CRM sync, and analytics.
  • Collaborated with IIT Bombay's BharatGen on MahaGR, a multilingual document ingestion pipeline (20,000+ docs) with OCR and RAG retrieval optimized for PARAM 17B.

SSingularity Technologies

Engineer Intern

Feb 2022 – Dec 2023

  • Built and maintained backend APIs for a HealthTech platform (telemedicine + course marketplace).
  • Improved API reliability and performance through query optimization, caching, and refactoring.

Featured Projects

OutCallerAI

Production voice AI platform handling 28,000+ automated calls across real estate, healthcare, logistics, and pharma. LLM call flows with real-time function calling, Pipecat orchestration, per-org RAG pipelines, async post-call processing (Celery + Redis) for lead scoring and CRM sync.

TypeScriptReactNodeLLM / voice APIs
Live site

MahaGR (with IIT Bombay BharatGen)

Multilingual document ingestion pipeline processing 20,000+ government documents (OCR, chunking, vector embeddings), RAG retrieval optimized for PARAM 17B across Hindi and regional languages. Chat interface with inline citations and document sharing.

PythonRAGOCRVector SearchPARAM 17B

DMS (OutRisk AI)

AI-powered document management platform with OCR-to-vector ingestion for semantic search. LangGraph-powered RAG workflows for risk extraction, metadata filtering, and LLM entity tagging over legal/business documents.

FastAPIPostgreSQLLangGraphAsync workers
Live site

Skills

Backend & Systems

Python
FastAPI
Node.js
REST APIs
Celery + Redis
Async Pipelines
Telephony Integration

Frontend

React.js
Next.js
Tailwind CSS
React Native

Databases & Infra

PostgreSQL
MongoDB
MySQL
FAISS
pgvector
Docker
DigitalOcean
Nginx
CI/CD

Languages

Python
JavaScript
TypeScript

AI & LLM

Conversational AI
Agent Workflows
RAG Pipelines
LLM Orchestration
Function / Tool Calling
Pipecat
ReAct Systems
OpenAI / Gemini
Vector Search
Prompt Engineering
LangChain
LangGraph

Education

Mumbai University

Bachelor of Computer Engineering

2020 – 2024

CGPA 8.57