Open to opportunities

Rishabh Das

@rishabhdas

Message

Founding AI/ML Engineer building AI-native platforms and deploying large-scale models with Kubernetes and AWS.

India

Message

What I'm looking for

I’m looking to build AI-native, enterprise-grade products end-to-end—shipping reliable model-serving, agents, and backend services with strong DevOps, observability, and evaluation practices at scale.

I’m a Founding AI/ML Engineer and Software Developer specializing in enterprise applications and deploying machine learning models at scale. I’ve built AI-native platform capabilities from scratch, focusing on high-throughput infrastructure and end-to-end production delivery.

In my founding role, I engineer model-serving and agent workloads using Docker and Kubernetes, stabilizing inference services by addressing issues like OOMKilled and CrashLoopBackOff. I’ve also shipped production AI agents with LangGraph and open-source LLMs, owning the full lifecycle from fine-tuning on AWS SageMaker to deployment and monitoring.

I bring deep experience across the stack—building CI/CD with ArgoCD and CircleCI and observability pipelines with Kibana across a Next.js/Spring Boot stack. Earlier, as a cofounder, I built a serverless AWS backend (Lambda + API Gateway) targeting sub-200ms P95 latency and designed custom transformer encoders to improve financial retrieval precision for downstream LLM pipelines.

Experience

Work history, roles, and key accomplishments

Current

Founding Engineer (AI/ML)

Current

Loylty Rewardz

Nov 2025 - Present (8 months)

Engineer building AI-native platforms for 1B+ customer profiles and 200M+ monthly transactions, supporting 60+ BFSI/retail enterprise clients. Containerizes and deploys model-serving/agent workloads on Kubernetes, and delivers production LLM agents end-to-end from SageMaker fine-tuning through monitoring.

Docker Kubernetes Model Serving Resource Optimization OOM Kill CrashLoopBackOff LangGraph LLM Fine tuning AWS Sagemaker CI CD ArgoCD CircleCi Observability Kibana Next.js Spring Boot

Cofounder

Centaur

Sep 2023 - Oct 2025 (2 years 1 month)

Architected and deployed a serverless backend on AWS Lambda and API Gateway with sub-200ms P95 latency. Built transformer encoders for financial-document chunking to improve retrieval precision for downstream LLM pipelines.

AWS Lambda API Gateway Serverless Encoder Retrieval Precision Financial Document Chunking

Remote Mentor

Stanford Code in Place

Apr 2025 - May 2025 (1 month)

Mentored a global cohort in a Stanford-hosted program by running interactive sessions on Python and core CS concepts with live debugging.

Python Mentor Debugging Computer Science Fundamentals

Product Development Intern

LC Adroit Vantage

Jan 2023 - May 2023 (4 months)

Refactored React components and rebuilt an admin dashboard, reducing bundle size and improving Lighthouse performance. Automated OWASP dependency checks in GitHub Actions to catch XSS vulnerabilities pre-prod.

React Admin JavaScript GitHub Actions OWASP Dependency Check XSS Performance Optimization Lighthouse

Software Development Intern

PredLabs

Jun 2022 - Jul 2022 (1 month)

Built web components and fixed bugs to improve site maintainability. Implemented database sanitation measures to improve data integrity and accessibility.

Web Components Data Integrity Accessibility

Ethical Hacker and Security Researcher

Cryptonite

Jul 2020 - Jul 2022 (2 years)

Competed in CTF competitions with multiple global wins and achieved a national CTFtime ranking of #8. Organized and led the annual NiteCTF event and mentored junior members in security research and web exploitation.

CTF Security Research Web Exploitation Ethical Hacking Event Organization Mentor