Architected the AI infrastructure behind a $9M Pre-Series A·Generated ~$60K ARR scaling multi-agent workflows·Saved enterprise clients $15,000+/mo in ops costs
Abhishek Singh Kushwah
Fractional AI CTO

Fractional AI CTO for companies
building serious AI products.

I help founders take AI products from MVP to reliable production systems — across RAG, Voice AI, Agents, Search and enterprise AI.

Production systems, not demos

A selection of AI systems I’ve architected and shipped — from venture-backed GTM AI to multilingual search at national scale.

Enterprise Agentic AI / GTM

Sprouts.ai

AI engineering for a venture-backed Revenue AI platform used by Hewlett Packard, Razorpay, HighRadius and Udemy — target-profile generation, enrichment, AI workflows and GTM automation.

Company subsequently raised a $9M Pre-Series A led by TGV and Accel, bringing total funding to $14M.
Autonomous Multi-Agent Workflows

Openclaw

Architected and scaled autonomous multi-agent workflows powering the product’s core operations.

Generated ~$60K ARR for the business.
Multi-Agent Governance

Commonplace Forum

Shipped the governance layer securing multi-agent AI for a U.S. Department of State education trial.

Real-Time Voice AI

Enterprise voice deployments

Deployed sub-800ms real-time AI voice agents for enterprise clients, replacing manual and legacy IVR-driven workflows.

Saved $15,000+/mo in operational costs.
AI Voice + Video

Unhamster

Built a voice/video agent platform from scratch, including self-hosted LLM infrastructure, with 500+ UAT users and multiple live client deployments.

AI Language Learning

Jolii

1,000+ beta users. LangChain-based contextual learning and search built around a YouTube learning pipeline.

AI Search at Scale

Jio / Reverie

Multilingual semantic search across Indian languages at production scale — experience that predates the current LLM boom.

Open Source · AI Evaluation

Voice Eval

A provider-neutral simulation and grading module for voice AI pipelines — scripted multi-turn conversations, per-turn audio capture, rule-based grading and cross-pipeline comparison, run before every deploy instead of manual retesting.

Public on GitHub · github.com/rand0wn/voice-eval →
Open Source · Agent Tooling

dsh-minimal-anchor

A DeepSeek Harness plugin that prunes a coding agent’s tool schema on a session’s first turn only, keeping early reasoning on exploration instead of premature action — then gets out of the way from turn 2 onward.

Public on GitHub · github.com/rand0wn/dsh-minimal-anchor →
Advisor · AI Companion / Coaching

Nudgit Lab

Technical advisor to an AI companion/coaching platform running real-time voice conversations through LiveKit and Pipecat, with swappable STT/LLM/TTS providers and a Gemini Live speech-to-speech path.

nudgit.ai →

Where AI products actually break

AI architecture

Production reliability

RAG / AI search

Voice AI

Agentic AI

Evaluation

AI infrastructure

Engineering leadership

Four ways to work with me

AI Product & Architecture Assessment

A structured review of your architecture, RAG/retrieval, agents, voice, evaluation, security, reliability and cost — delivered as an AI Production Readiness Score with prioritized risks.

Fractional AI CTO

Ongoing technical leadership: architecture decisions, AI roadmap, hiring, vendor/model decisions, evaluation strategy and production reliability.

AI Technical Due Diligence

For investors, accelerators and acquirers who need an independent technical read on an AI startup before committing capital.

AI Architecture Consulting

Focused engagements on RAG, voice AI, agentic systems or AI search — for teams that need deep expertise on one system, not a full-time CTO.

Start where you are

AI Product Health Call

Free · 20 minutes · qualification
Free

AI Product & Architecture Assessment

2 weeks · written report & readiness score
From $2.5K

Fractional AI CTO

Advisory to deep engagement · monthly retainer
From $2K/mo

Engineering execution via Jalpa

Build & ship the roadmap
From $10K

I’ve been building production AI since before “AI startup” became a category

2017

Conversational AI and recommendation systems.

2018–2021

Enterprise conversational AI, NLU and knowledge graphs / search.

2022–2023

Multilingual search at production scale (Jio / Reverie).

2023–2026

LLMs, RAG, agents, voice AI and AI SaaS engineering.

Today I work as a Fractional AI CTO for founders building AI products, and lead Jalpa, a production AI engineering studio, when a roadmap needs a team to execute it. I’m also Co-founder & CTO of Rasadhara AI Labs, where I hold direct technical leadership responsibility rather than just advising on it.

Verified feedback, not selected quotes

Pulled directly from completed, rated Upwork engagements.

★★★★★ · AI/ML Engineer, LLM Integration & Backend Development

“Abhishek delivered production-ready AI infrastructure for our platform, integrating multiple LLMs (GPT-4, Claude), vector search with Qdrant, memory persistence, and agent orchestration. His backend work using FastAPI, LangChain and tracing systems was top-tier. Highly recommended for complex AI/LLM systems.”

★★★★★ · RASA Model Conversation Search

“I had a great experience with Abhishek. He completed the project within the time frame and helped me understand the changes, which was very helpful. I would like to recommend him for my future projects.”

★★★★★ · Ollama + Fabric Local Setup

“Abhishek was wonderful. He made the process of setting up and integrating Ollama with Fabric very easy. He even dedicated his own time to make sure the setup session was efficient. I would definitely work with him again.”

View verified history on Upwork →

What is a Fractional AI CTO?

A Fractional AI CTO is a senior technology leader who helps companies make AI architecture, product, engineering and infrastructure decisions without hiring a full-time CTO. Unlike a general fractional CTO, the role requires direct experience with production LLM systems — evaluation, retrieval, agents, model infrastructure and AI reliability.

Need a conversation, not a pitch.

30 minutes. Tell me what you’re building and where it’s breaking.