Nabeel Hussain

Senior AI Engineer: Agentic AI · Voice AI · LLM Systems

I build production LLM systems on scalable Python backends: multi-agent platforms, real-time voice agents and RAG with hybrid search, from architecture to evaluation, including on-premise AI for regulated banks.

  • 6+years in production
  • 10×faster RAG queries
  • 35%cut in LLM API costs
  • 1M+records per pipeline run
Start the line
OverviewAt a glance

Impact in production

Now
Senior AI Engineer, Conovo Technologies (Aug 2023 – Present, remote)
Focus
Multi-agent systems, voice agents, RAG, LLM evaluation and grounding
Stack
Python, FastAPI, Django, LangGraph, LangChain, PostgreSQL, Redis
Infra
AWS, Azure, Docker, GitHub Actions
Hours
Full EU overlap, 4–6 hours with US Eastern
Open to
Relocation to the Gulf or Europe
  • 10×faster query responses on RAG systems, from hybrid BM25 and dense retrieval with reranking Conovo, RAG
  • 35%cut in LLM API costs via multi-provider routing and semantic caching Conovo
  • 1M+records processed per pipeline run, across 20+ daily Airflow pipelines Conovo, data
  • 250+data sources running in production, from AWS S3 to the web Conovo, data
  • 70%less manual work with document AI: OCR and NLP over scanned legal and financial documents ArhamSoft
Project 01Financial services

10 specialist agents

PersonifAI

Multi-agent procedure analysis for regulated banks: consulting-grade findings in minutes, shipped on-premise.

  • Ten specialist agents audit each procedure for compliance, controls, risk and automation readiness.
  • Produces audit-ready reports and BPMN process maps.
  • An anti-hallucination layer verifies every regulatory citation live against 11 UK and US regulator sources.
  • Provider-agnostic across 4 LLM providers, with 1,300+ automated tests.
  • Multi-agent LLM
  • Citation grounding
  • 4 LLM providers
  • BPMN 2.0
  • On-premise
  • 1,300+ tests
Project 02Agent marketplace

10,000 agents per request

Global Agentic Market Exchange

The G.A.M.E.: a neutral exchange where AI agents hire other agents and get paid per call.

  • Agents call each other through an HMAC-signed gateway, with per-call pricing.
  • A double-entry ledger holds each fee in escrow and releases it on a good response; the agent keeps 95%, paid out through Stripe Connect.
  • Built the entry and anti-fraud systems for a $10M prize challenge: batch registration of 10,000 agents per request, liveness and uniqueness checks, near-duplicate detection.
  • Designed to scale to 1M+ agents.
  • Django
  • PostgreSQL
  • Celery
  • Redis
  • Stripe Connect
  • AWS
Project 03Voice agent audits

ProofDial

Independent audits for voice agents: every failure comes back with its line, its recording and the control it breaks.

  • Audits the calls an agent already took, and places automated test calls against production voice agents.
  • Scores every call with Claude as LLM judge.
  • Redacts personal data with Presidio before anything is stored.
  • Maps 13 failure types to 38 named controls, on a multi-tenant backend.
  • Pipecat
  • Deepgram
  • Cartesia
  • Silero VAD
  • Claude
  • Presidio
  • Supabase
Project 04AI recruiting

7 stages, requisition to hire

SharpSource ATS

An applicant tracking system built as AI: the system does the work, recruiters review and decide.

  • Writes the job description, screens and ranks every applicant, and schedules the interviews.
  • Must-have skills gate eligibility; a weighted fit score shows its reasoning and confidence.
  • Drafts the offer and forecasts whether it will be accepted.
  • Every AI call can be overridden, and critical actions land in an audit log nothing can edit.
  • AI screening
  • Fit scoring
  • Interview scheduling
  • Offer forecasting
  • Audit log
Project 05Fraud detection

+30% performance

Webcurve

Counterfeit seller intelligence: a fraud detection platform that tracks sellers of counterfeit products.

  • Led a team of three building the platform.
  • Scheduled the scraper DAGs with Apache Airflow.
  • Automated scraper maintenance with a custom-trained LLM.
  • Query optimisation gave a 30% performance gain.
  • Qwen2.5
  • Claude 3.5
  • Apache Airflow
  • Scrapy
  • PostgreSQL
  • AWS
Project 06Due diligence

4 steps, data room to Golden Record

LiquidDocs

Expert-verified AI due diligence: a messy data room becomes a signed Golden Record.

  • AI agents extract, structure and classify every document at machine speed.
  • A named professional verifies, corrects and signs off every finding.
  • Every finding is scored for risk and linked to its source, with a full audit trail.
  • The same engine runs AI transformation for firms, built on the Vault.
  • Due diligence
  • Golden Record
  • Expert sign-off
  • Audit trail
  • The Vault
Project 07Face transformation

−40% inference time

21Swap

Deep-learning face transformation for images and video.

  • Led development of the face transformation system.
  • GPU acceleration cut inference time by 40%.
  • Python
  • TensorFlow
  • OpenCV
  • Flask
  • AWS GPU
Read the case study
Project 08Asset management

AssetCurve

An enterprise platform for IT assets and hardware.

  • Tracks equipment costs and recertifications.
  • Built on Django REST Framework, with Stripe payments, on AWS.
  • Django
  • DRF
  • PostgreSQL
  • AWS
  • Nginx
  • Stripe
Read the case study
Project 09AI receptionist

24/7 website and WhatsApp

Balie

An AI receptionist for growing businesses: it answers customers around the clock and fills the diary.

  • Answers customer questions on the website chat and on WhatsApp, in Dutch and English.
  • Books appointments straight into Google Calendar or Outlook, with confirmations and reminders.
  • Trained on the business’s own site, PDFs, Notion and Drive; live in five minutes with one line of code.
  • Captures leads, and hands the conversation to a person when needed.
  • Website chat
  • WhatsApp Business API
  • Knowledge base
  • Appointment booking
  • Universal inbox
Project 10Healthcare innovation

3 roles: nurse, investor, employer

NX Innoverse

A healthcare-innovation platform built around nurses: pitch, fund and hire in one place.

  • Nurses showcase and pitch their innovations, projects and career opportunities.
  • Investors discover and back the ideas they believe in.
  • Employers post jobs and hire nursing talent.
  • Pitches stay private, with confidentiality and intellectual property protected.
  • Pitches
  • Investments
  • Job board
  • Career moves
  • Role-based onboarding
ToolkitThe stack

Skills

  • Python
  • LLM systems
  • Agentic AI & multi-agent
  • Voice AI
  • RAG & vector search
  • LLM evaluation
  • FastAPI & Django
  • AWS & Azure

LLM & Agentic AI

  • LangGraph
  • LangChain
  • Multi-agent orchestration
  • Tool / function calling
  • Structured outputs
  • LLM-as-judge evaluation
  • Citation grounding
  • Hallucination correction
  • Multi-provider routing: Claude, GPT-4, Gemini, Grok, Mistral, Qwen
  • Semantic caching
  • Token cost optimisation
  • Prompt engineering

Voice AI & Real-Time

  • Pipecat
  • Daily.co WebRTC
  • Deepgram STT
  • Cartesia TTS
  • ElevenLabs TTS
  • Silero VAD
  • Turn detection
  • Barge-in handling
  • Latency budgets
  • Wav2Vec2

RAG & Vector

  • Hybrid retrieval: BM25 + dense
  • Reranking
  • Chunking strategy
  • BGE-M3 embeddings
  • Qdrant
  • pgvector
  • Elasticsearch
  • Retrieval evaluation

ML & Computer Vision

  • PyTorch
  • TensorFlow
  • OpenCV
  • YOLOv8
  • OCR
  • Hugging Face
  • NLP
  • Anomaly detection

Backend & APIs

  • FastAPI
  • Django
  • Django REST Framework
  • Flask
  • Celery
  • SQLAlchemy
  • Pydantic
  • asyncio
  • REST
  • GraphQL
  • WebSockets
  • SSE
  • Microservices
  • HMAC-signed gateways

Databases

  • PostgreSQL
  • Supabase with row-level security
  • MySQL
  • MongoDB
  • Redis
  • Elasticsearch

Cloud & DevOps

  • AWS: EC2, S3, RDS, Lambda, CloudFront
  • Azure: Container Apps, Static Web Apps
  • Docker
  • Nginx
  • CI/CD
  • GitHub Actions
  • Git
  • Linux

Data & Payments

  • Apache Airflow
  • Scrapy
  • Playwright
  • ETL pipelines
  • Stripe
  • Stripe Connect
  • Double-entry ledgers

Security & Compliance

  • Presidio PII redaction
  • GLiNER
  • GDPR
  • On-premise deployment
  • Encryption at rest
  • Tamper-evident audit logs
  • RBAC
  • Automated testing

Languages

  • Python
  • JavaScript
  • C++
  • SQL
Career2019 – Present

Experience

  1. Senior AI Engineer Conovo Technologies · Remote

    Aug 2023 – Present

    • Designed the retrieval layer behind production RAG systems: hybrid BM25 and dense search over BGE-M3 embeddings in Qdrant, with reranking, making query responses 10× faster.
    • Built multi-provider LLM routing across Claude, GPT-4 and Gemini with semantic caching, streaming and per-call cost logging, cutting LLM API costs by 35% while improving reliability.
    • Set up LLM-as-judge validation gates in CI covering response quality, hallucination rate and retrieval precision.
    • Engineered GDPR-compliant AI pipelines for regulated clients: Presidio and GLiNER PII redaction, consent handling, audit logging and data-residency controls.
    • Built an intelligent document assistant on LangChain and vector search, making document search 2× faster.
    • Orchestrated 20+ daily Apache Airflow pipelines across 250+ production data sources, syncing terabytes of structured and unstructured data from AWS S3 and the web and processing 1M+ records per run.
    • Led a distributed engineering team, running weekly code reviews and maintaining CI/CD with Docker and GitHub Actions.
  2. Python Developer ArhamSoft Technologies · Lahore, Pakistan

    Oct 2019 – Aug 2023

    • Led design and rollout of backend platforms for finance, healthcare and e-commerce clients, scaling to tens of thousands of active users.
    • Improved application responsiveness by up to 60% through query optimisation, refactoring and in-memory caching.
    • Built document-processing pipelines combining OCR and NLP, turning scanned legal and financial documents into structured data and cutting manual work by 70%.
    • Managed AWS infrastructure (EC2, RDS, S3) with auto-scaling and monitoring, sustaining 99.9% uptime while cutting operational costs by 20%.
    • Integrated Stripe billing, Slack and Jira into enterprise client platforms, and mentored junior engineers through code reviews and pair programming.
CredentialsCertified

Education and certifications

  • Bachelor of Software EngineeringUniversity of Agriculture, Faisalabad · 2017 – 2021

Certifications

  • Microsoft Certified Azure AI Apps and Agents Developer Associate Issued Oct 2026ID E422A7A52272A76A
  • Microsoft Certified Azure Fundamentals Issued Jun 2026ID 2D1D6BFDB7790618
  • Amazon Web Services AWS Certified Cloud Practitioner Jul 2024 – Jul 2027
  • Udemy Machine Learning A-Z: AI, Python & R + ChatGPT Prize Issued Dec 2025View certificate (opens in a new tab)