Forward Deployed Engineer · Production LLM Systems

Carson Rodrigues

Available · London / UK or remote · UK right to work, no sponsorship needed

I'm a forward deployed engineer. I embed with the customer and take LLM systems from prototype to production, end to end: agents, RAG and evals, real-time voice agents, MCP servers and the integrations around them. Seven client products and three in-house ones, plus twenty research papers on the same systems (one published at ICANN 2026).

Customer-embeddedAgentsRAGEvalsVoice AIMCPClaude Code
Relocating to London · UK or remote · globalLinkedInGitHub@carsonmarz

Impact at a glance

1st place in Data & Visualization at the AutoScientist Challenge, Part 2

1st place · 18 August 2026

$4,000Data & Visualization · AutoScientist Challenge, Part 2

Won Adaption Labs's AutoScientist Challenge in Data & Visualization

PolyChart scores how much a chart lies, giving every distortion an exact lie factor rather than a yes/no label. Built on a controlled study of more than 200 fine-tuning jobs, driven through a headless client I wrote before the platform's official API shipped. Entered in all seven categories; placed first in this one.

VoiceQube 🇺🇸
ICMR
Smart India Hackathon
AIDEC

Speaking

Talks, workshops and live demos

A live OmniDirector demo at Google's AI Day for Startups India 2026, a 3-hour AI for Marketing masterclass at BITS Law, Mumbai, and guest sessions back at my alma mater.

All talks

Mobile apps

Live on the App Store and Play Store

7 React Native / Expo apps across health-tech and consumer products, each on both stores. Multi-market customers downloading them today.

See more projects
Amorelle app icon

01 / 07

Amorelle

AI-native couples app for connection & intimacy

Featured

Production systems shipped

All projects

Spotlight · Brillianse CRM

Every new lead gets a call within five seconds.

An AI admissions CRM for Indian junior colleges: Meta and Google ads in, an AI voice agent on the phone in seconds, relationship managers on bridged, coached calls, and every paid lead landing in Brillianse as a student. Twilio and Plivo on SIP trunks, set up for three institutions.

lead to AI call
5 s
lead to AI call
institutions
3
institutions
merged PRs
125
merged PRs
  1. Lead arrivesMeta and Google ads, branded landing pages, WhatsApp
  2. AI calls in 5 secondsVoice agent qualifies the lead and fills the form
  3. RM on a coached callBridged call, live suggestions, sentiment
  4. PaymentLead becomes an applicant, then pays
  5. Student in BrillianseRecord moves to the admin panel, no retyping
Read the case study

Selected work · 4 of 14

  • Phiny.ai learner dashboard: continue-your-trainings cards for Product Designer and Lead Software Developer roles, with progress bars and overall skill progress

    AI Career Prep Platform

    Senior Software Engineer, Forward Deployed & Team Lead · VoiceQube

    Real-time AI mock interviews with low-latency voice, LLM-driven resume tailoring per JD, job matching, and university partnerships. Smart Recruiter unified backend.
    516 TS files / ~101k LoC~17k LoC Python WebRTC microservice
    • Real-time AI voice mock interviews — Pipecat + LiveKit + Claude + ElevenLabs + Deepgram
    • LLM-driven resume tailoring per JD with RAG over candidate documents
    • Job matching, application tracker, interview prep, upskilling paths
    • Resume parsing pipeline: Tesseract OCR + pdf-parse + mammoth
    • Multi-payment integration: Razorpay, Stripe, Apple Pay
    Read case study
    NestJS
    FastAPI
    Pipecat
    LiveKit
    Claude (Anthropic SDK)
    ElevenLabs
    Deepgram
    OpenRouter
    MongoDB
    BullMQ
    AWS
  • Northway banner: The Virtual Caddie for Everyone, with Andy North beside the app on a phone and an Apple Watch

    AI Voice Caddie ft. Andy North (2× US Open Champion)

    Senior Software Engineer, Forward Deployed & Team Lead · VoiceQube

    Voice-enabled golf companion: hands-free course navigation, contextual AI shot recommendations from course / weather / player history, AI shot recording with analytics.
    • Real-time voice caddie via LiveKit + WebRTC stack
    • MongoDB geospatial indexing for live GPS course position
    • AWS Lambda + MediaConvert for shot video capture and processing
    • Production-grade across 40,000+ golf courses (event-driven backend)
    • Voice + intent stack with Anthropic Claude in the loop
    Read case study
    LiveKit
    WebRTC
    Pipecat
    ElevenLabs
    Deepgram
    Claude
    MongoDB (geospatial)
    AWS Lambda
    MediaConvert
    CloudFront
  • Academic Operations Platform

    Senior Software Engineer, Forward Deployed & Team Lead · VoiceQube

    13-app monorepo running an Indian junior-college group end to end: attendance, exams, AI question generation, handwritten-paper grading, analytics and parent comms. Live across 12 campuses; launched publicly as Brillianse AI in Hyderabad in October 2026.
    13 apps4,735 students live7.6M exam answers
    In the news · The New Indian Express · 12 Oct 2026“IT & Industries Minister Sridhar launches Hyderabad-developed Brilliance AI”
    • 447 of the repo's 2,688 merged PRs are mine; most commits of any contributor
    • Admissions CRM with an AI voice agent that calls new enquiries in five seconds (~220k LoC)
    • IPE: AI grading of handwritten answer sheets, 12,847 marks reviewed by faculty in prod
    • Hono API (152 route modules), Drizzle over Postgres — 323 tables, 216 migrations
    • 125,299 questions in the bank, 78% AI-drafted, none published without faculty approval
    Read case study
    Next.js 15
    React 19
    Expo SDK 55
    Hono
    Effect v3
    Drizzle ORM
    PostgreSQL
    Redis
    BullMQ
    Claude
    LiveKit
    AWS ECS Fargate
  • CELABE home page hero: Life. Celebrated. Plan your perfect celebration, with vendor search, popular categories and buttons to create an invite or browse vendors
    CELABE app icon
    CELABELive

    AI-Powered Wedding & Events Platform

    Co-Founder & Technical Lead

    Co-founded multi-market wedding / events platform. iOS, Android, web; ML-powered planning, vendor marketplace, viral QR photo-sharing. Founding engineering leader.
    • Architected end-to-end across iOS, Android, web, vendor ecosystem
    • ML-powered planning workflows and intelligent vendor matching
    • Viral QR photo-sharing for live event capture
    • Live on App Store and Google Play; multi-market customer base
    • Established engineering culture, CI/CD automation, technical roadmap
    Read case study
    React Native (Expo)
    Next.js
    NestJS
    MongoDB
    AWS
    Stripe
    ML pipelines

Stack

What I build with

295 tools and practices across 15 layers of a forward deployed engagement, from the discovery call to the dashboards that prove it still works after go-live.

FDE workflow

At the customer · 13 tools

Sit with the team whose work is changing, map how it really runs, and agree the success metric before any code. Then demo early, ship with a runbook and stay through hypercare.

  1. 1Discovery
  2. 2Success metric
  3. 3Working demo
  4. 4Sign-off
Discovery
  • Client discovery
  • Workflow mapping
  • Success metrics
  • Acceptance criteria
Delivery
  • Working demos
  • Deployment runbooks
  • Hypercare
  • Field feedback
Tools
  • Notion
  • Linear
  • Jira
  • Miro
  • Mermaid

Where I used it: VoiceQube. Three years forward deployed, running discovery and delivery directly with clients in the US and India.

See the case studies

Research

Twenty papers on the systems I ship

Voice AI latency, intent detection, MCP architecture, multi-agent reliability — measured on production workloads, not benchmarks. One published at ICANN 2026 (Springer LNCS), 10 more under peer review.

Published at ICANN 2026 (peer-reviewed, Springer LNCS) — “Latency Optimization in Production Voice AI Pipelines: A Systems Approach,” −41.8% end-to-end latency. doi:10.1007/978-3-032-38404-1_36

What I do

From customer problem to production AI.

Four forward deployed disciplines in one engagement: uncover the problem, integrate with the customer's stack, ship AI that holds up, and build the team that owns it next.

  1. 01 / Discover

    Find the real problem.

    Turn an ambiguous customer request into a scoped, technically viable system. Map the workflow, the constraints and what success means before writing code.

    7

    client products, forward deployed

    plus 3 in-house products at VoiceQube

    • Discovery
    • Workflow mapping
    • Scoping
    • Security review
    Client case studies
  2. 02 / Integrate

    Make it work in their stack.

    Build the prototype against the customer's real APIs, webhooks, enterprise systems and identity boundaries, not mock data.

    5

    hotel PMS adapters behind one sync runner

    • REST APIs
    • OAuth
    • Webhooks
    • Vendor SDKs
    • MCP
    HotelClaw.ai integration work
  3. 03 / Productionize

    Ship AI that holds up.

    Agents, RAG pipelines and real-time voice systems with evals, observability and guardrails: measured, then made faster.

    −41.8%

    end-to-end voice latency (p50), published at ICANN 2026

    • LLM evals
    • RAG
    • Voice AI
    • Observability
    • Guardrails
    The ICANN 2026 paper
  4. 04 / Transfer

    Build the team that owns it.

    Lead the engineering team, set delivery standards and document how the system behaves, then hand over ownership without losing what the field taught us.

    30–40

    engineers led across four product lines

    447 merged PRs on Brillianse

    • Technical leadership
    • Mentoring
    • Evals
    • Documentation
    Brillianse case study

One engagement rarely follows a neat sequence. Discovery, integration and production engineering often run in parallel, with customer feedback shaping every stage.

Explore production work

Experience

Where I've shipped

HotelClaw.ai logo
Full-Stack & AI Engineer (contract)
HotelClaw.ai · Remote · multi-tenant AI platform for hotel operations
Jun 2026 – Present

HotelClaw.ai case study
Supabase
pgvector
OpenRouter
n8n
Next.js 16
WhatsApp
CELABE logo
Co-Founder & Technical Lead
CELABE · Self-employed · London, UK
Jan 2026 – Present

CELABE case study
React Native
Next.js
NestJS
AWS
ML
VoiceQube Inc. logo
Senior Software Engineer, Forward Deployed & Team Lead
VoiceQube Inc. · Remote · United States · forward deployed
Sep 2023 – Sep 2026

Client case studies
NestJS
Pipecat
LiveKit
Deepgram
ElevenLabs
AWS
Ôdasie (Water of Asia) logo
Senior Full Stack Engineer & Team Lead (contract)
Ôdasie (Water of Asia) · Remote · Thailand on-site
Jan 2025 – Dec 2025

Claude
MCP
LiveKit
n8n
AWS
Next.js
Siemens Ltd. logo
Application Developer
Siemens Ltd. · Goa, India
Oct 2023 – Oct 2024

Angular
Electron
MQTT
NestJS
RxJS

Available · London / UK · senior AI, FDE, contract

Building something with AI?

Voice agents, MCP servers, LLM pipelines, agentic workflows — pick a slot, drop a message, or send your email and I'll reply within a day.

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Replies within ~24 hours · London, UK · on-site, hybrid or remote