Question 1

What kind of problems does Rahul Ladumor solve?

Accepted Answer

Rahul Ladumor is a Forward Deployed AI Engineer and Production AWS/GenAI Platform Architect. He helps CTOs, founders, and platform leads when AI pilots need to become production systems, cloud bills climb, GenAI systems become unreliable with real users, releases feel risky, migrations stall, or teams lack a clear rollback and observability path. Technical work often includes AWS cost optimization, production RAG and agents, serverless or container modernization, Terraform/CDK, CI/CD, and cloud reliability.

Question 2

How much can Rahul Ladumor save on AWS cloud costs?

Accepted Answer

As an AWS cost optimization specialist, Rahul typically saves clients 40-70% on their AWS spend through analytics-driven right-sizing, Savings Plans, Spot instances, serverless refactoring, and S3 lifecycle enforcement. Cumulative client savings across engagements total ₹50Cr+ (~$6M+) over a decade of consulting; methodology aligned per engagement on the first call.

Question 3

Does Rahul Ladumor offer free consultations for AWS architecture?

Accepted Answer

Yes. Rahul offers a free 30-minute production triage for CTOs, VPs of Engineering, founders, and platform leads: what is hurting, what to measure first, where cost and reliability risk may be hiding, and whether there is a fit. Worldwide remote. No commitment.

Question 4

What are Rahul Ladumor's AWS certifications and qualifications?

Accepted Answer

Rahul holds 3 AWS Professional certifications (Solutions Architect Professional, DevOps Engineer Professional, Generative AI Developer Professional), plus AWS Developer Associate and HashiCorp Terraform Associate. He is an IIT Roorkee alumnus (PG Certificate in Agentic AI & ML), a 5x recognized AWS Community Builder, and an Upwork Top Rated freelancer with 9+ years of experience.

Question 5

Can Rahul Ladumor help build GenAI and AI/ML systems on AWS?

Accepted Answer

Yes. Rahul helps teams move GenAI from demo to production on AWS. Typical work includes RAG pipelines, AI agents, AWS Bedrock, cost controls, guardrails, evaluation, audit logging, vector search, and observability so the system can be trusted after launch.

Question 6

Is Rahul Ladumor available for hire as a freelance cloud architect or backend engineer?

Accepted Answer

Yes. Rahul is available worldwide for consulting, project-based work, and selected senior platform or architecture roles. Recruiters and hiring teams can use the resume page, LinkedIn profile, or email hello@rahulladumor.com. Consulting leads can book a 30-minute triage via cal.com/rahul-ladumor/30min.

Question 7

What programming languages and technologies does Rahul Ladumor specialize in?

Accepted Answer

Rahul is a full stack cloud engineer proficient in Python (FastAPI, Flask, Celery), TypeScript/Node.js (Express, NestJS), Go (microservices), and React. On AWS: Lambda, ECS/EKS, Fargate, DynamoDB, API Gateway, SQS/SNS, EventBridge, Step Functions, Bedrock, SageMaker. DevOps: Terraform, AWS CDK, GitHub Actions, Docker, Kubernetes, ArgoCD. Databases: PostgreSQL, MySQL, Redis, Kafka, RabbitMQ.

Question 8

Does Rahul Ladumor work with international clients remotely?

Accepted Answer

Yes. Rahul works with clients worldwide remotely from Surat, India (IST, UTC+5:30). Past clients include ASTM International (USA), KFC Thailand (Asia), Turing (USA), and startups across India, USA, and Europe. He maintains overlap with US and EU business hours and has a response time of less than 24 hours.