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Revanth Christober M

@revanthchristober

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I build AI-native products, LLM systems, RAG workflows, and scalable MLOps infrastructure.

India

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What I'm looking for

I'm looking to build AI-native products and founding-stage systems, combining LLMs, agents, RAG, and scalable MLOps to deliver useful customer outcomes.

I've built AI-native products at Parlor, Sentigen, and AGIE AI—from voice-to-website generation and always-on visitor agents to RAG platforms, AI-to-SQL analytics, and legal judgment drafting systems.

As a founding and fractional CTO, I turn product theses into MVPs and scalable systems. I also bring hands-on MLOps experience from Planck, where I improved distributed ML processing efficiency by 25% and system reliability by 30%.

Experience

Work history, roles, and key accomplishments

Current

Co-Founder

Current

Stealth Startup

May 2025 - Present (1 year 5 months)

Building something.

Current

AI/ML & Data Science Consultant

Current

Self Employed

Jul 2019 - Present (7 years 3 months)

Offered a comprehensive suite of AI/ML and data science consulting services to a diverse
clientele, building a strong network and securing projects.

- Expertise Areas:
- Generative AI: Developed and deployed models for various applications (e.g., text,
image, potentially audio/video generation) using GANs, VAEs, Diffusion Models, and
Transformers.
- Machine Learning: Built, trained, and

Founding CTO (Fractional)

Parlor

Jul 2025 - May 2026 (10 months)

https://www.parlor.website

As Fractional CTO of Parlor, I led the end‑to‑end technical design and development of an AI-native website platform that lets small businesses create a fully functional, intelligent website through a five‑minute voice conversation instead of traditional page builders. I owned the architecture for the entire product: the voice-to-website generation pipeline, the always-o

Generative AI Project Management

MLOps Engineer

Planck

Jun 2022 - Jan 2026 (3 years 7 months)

Designed and implemented a scalable, distributed ML infrastructure for training and deploying models across decentralized systems, resulting in a 25% improvement in processing efficiency.

Leveraged distributed training frameworks like Ray.io and Horovod to optimize Al model performance in a decentralized compute network.

Analyzed workloads on containers (Docker) and virtual machines (Kubernetes)

MLOps Generative AI Machine Learning Data Science

Founding Engineer

Sentigen

Oct 2025 - Dec 2025 (2 months)

I collaborated directly with founder Galen Oakes to help design and build the MVP of Sentigen, an “operating system for autonomous businesses” that unifies insights, planning, and execution into a single intelligent workspace. My focus was on turning the product thesis into a usable first version, wiring together core workflows so founders and teams could see real value from day one.

Key contribu

Generative AI Engineer

AGIE AI

Feb 2023 - Jan 2025 (1 year 11 months)

Architected generative AI solutions across five domains (legal tech, astrology, contact centers, digital marketing, conversational analytics), integrating open- and closed-source LLMs with enterprise data pipelines

Fine-tuned LLMs using PPO-based reinforcement learning for Judicial CoPilot, an automated legal judgment-drafting system built on FastAPI microservices

Built a RAG-powered Vedic astr