Product and AI Engineer
Atul Rai
AI-powered products, data platforms, and production backends — built to ship and stay up.
- Data platforms at million-record scale, designed for analytics and AI workloads.
- Production LLM systems with tools, context, and multi-tenant isolation.
- AWS Aurora DataMart that improved downstream ML accuracy by 13%.
- Cut API latency ~80% with Redis on high-traffic Django services.
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0+ years
Experience
0M+ records
Scale
0% accuracy gain
ML Impact
~0% reduction
API Latency
Product + AI
Focus
Python · FastAPI · AWS
Stack
About
I build products and platforms that have to work in production — APIs, data pipelines, and AI features on top of reliable backends. The range is wide on purpose: ingestion and governance, multi-tenant services, LLM workflows, and product surfaces. The through-line is the same: clear contracts, systems that scale, and judgment about what actually belongs in production.
Skills
Backend
AI Systems
Cloud
Database
Frontend
Featured Projects
Selected work across data platforms, AI systems, and product.
Spatial project publishing for interiors
A platform where an interior project is photographed spaces with products and materials pinned on the image — the photo is the source of truth, not a detached spreadsheet.
Photograph a space, tag it, publish — overlays, copy, and print from one graph
Healthcare Intelligence Platform
Re-architecting a healthcare data platform supporting 1M+ patient records — FHIR/EHR ingestion, RAF scoring, and AI-driven patient insights.
1M+ patient records · FHIR/EHR · RAF scoring
Tech
Voice AI Agent Platform
Real-time, multilingual voice AI for inbound, outbound, and web calls — configurable agents with tool setup and multi-tenant isolation.
Multi-tenant SaaS · SIP + WebRTC · Vector DB context ingestion
Tech
Enterprise Data Platform
Centralized DataMart on AWS Aurora with ingestion, governance, and quality pipelines powering ML workflows across teams.
13% ML accuracy gain · AWS Aurora DataMart · Cross-team analytics
Tech
Let's build something that lasts
Products, platforms, and the systems that keep them running.
Experience
Aug 2025 – Present
Independent Practice
Sr. Software Engineer
Healthcare AI Startup
- ·Re-architecting a platform supporting 1M+ patient records
- ·FHIR/EHR ingestion for multi-provider normalization
- ·RAF score computation pipelines
- ·PostgreSQL and ETL optimization for AI analytics
Member of Founding Team (Sr. AI Engineer)
Voice AI Startup
- ·Real-time multilingual voice AI (SIP, web, outbound)
- ·Configurable agents with LiveKit, Deepgram, and LLMs
- ·Firecrawl → vector DB ingestion via SQS and Lambda
- ·Multi-tenant security: RBAC, Logto, and RLS
Product Engineer
Client · Leading Architect / Interior Designer
- ·Built a platform for interior projects: photograph a space, tag what’s in it, publish it
- ·Hotspot overlays on master/angle shots (spatial media model)
- ·Vision annotation + constrained multimodal copy (editorial vs. social)
- ·Canonical taxonomy with regional names and synonym fallback
Jan 2022 – Aug 2025
Sr. Software Engineer (Data Platform)
Aideo Technologies / Rule14
- ·Centralized DataMart on AWS Aurora
- ·Data governance & quality-check pipelines
- ·Customer ingestion & egestion at scale
- ·13% ML accuracy improvement via anomaly detection
Nov 2020 – Dec 2021
Software Engineer
Ajackus Consultancy
- ·RASA chatbots on WhatsApp (production)
- ·~80% API latency reduction with Redis
- ·Django backend services
Jun 2019 – Jul 2020
Software Engineer
Bulk MRO Industrial Supply
- ·Django/DRF procurement & logistics APIs
- ·Legacy-to-platform migration scripts
Notes
Writing on product, AI, and production engineering — on Medium.