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Sajankumar – AWS, Python, React, experts in Lemon.io

Sajankumar

From Netherlands (UTC+2)flag

Full-stack Web Developer
Architect
Tech lead
AI Engineer
Front-end Web Developer

Sajankumar – AWS, Python, React

19 years of commercial experience in
Administration
Advertising
AI
Architecture
Cloud computing
Healthtech
Productivity
Open source
AI software
Web development
Main technologies
AWS
4 years
Python
4 years
React
7 years
Typescript
5 years
Node.js
7 years
Additional skills
Next.js
Direct hire
Possible
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Experience Highlights

Architect, Fullstack Engineer, CEO
Jul 2025 - Feb 20267 months
Project Overview

A software which transforms static documents like PDFs, Excel models, scanned contracts, and images into an intelligent, searchable knowledge base.

Responsibilities:
  • Created front-end and back-end architecture.
  • Configured RAG and Vertex embeddings.
  • Built deployable chatbot.
  • Implemented voice integration.
  • Configured payments and subscriptions along with complete k8s infrastructure with Tailscale.
  • Configured complete CI/CD via Github workflow.
Project Tech stack:
Next.js
React
Typescript
Python
MongoDB
Qdrant
Kubernetes
AWS
FastAPI
Chat bots
Cloudflare Worker
Cloud Architecture
Cloudflare
Kafka
Stripe API
RAG
Node.js
Architect, Lead Engineer
Feb 2025 - May 20253 months
Project Overview

A high-concurrency voice agent integrated via real-time API with Practice Management Software (Dentrix, Curve). An intent recognition layer differentiates clinical emergencies from routine bookings and routes each appropriately. The agent reads live calendar availability to confirm appointment slots inside the same call. A sentiment-detection layer monitors caller frustration and triggers an instant SMS escalation to the human receptionist when the conversation exceeds its confidence threshold.

Responsibilities:
  • Successfully plugged a "revenue leak" by capturing inquiries that previously went unanswered outside of business hours leading to 40% increase in after-hours lead capture.
  • Automated repetitive scheduling tasks, significantly lowering the administrative burden on receptionists which led to 15% reduction in staff burnout.
  • Freed up staff to prioritize high-value, in-chair patient care rather than managing phone lines leading to enhanced clinical focus.
  • Achieved continuous, 24/7 operation with zero incremental labor costs per patient interaction.
Project Tech stack:
React
AI agent development
Typescript
Supabase
Stripe API
Node.js

Languages

Dutch
Intermediate
Tamil
Advanced
Malayalam
Upper-intermediate
Hindi
Intermediate
English
Advanced

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