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FAIDH FEISAL

I build AI products that ship | 10+ years | Engineer turned Leader

Summary

I've spent 10+ years turning complex AI ideas into products people actually use. From shipping an enterprise RAG platform serving thousands in just 8 weeks, to building a conversational AI engine that automated 1 million human minutes — I operate at the intersection of hands-on engineering and strategic product leadership. I architect systems (Agentic AI, Conversational AI, data pipelines, cloud-native on AWS/Azure/Kubernetes), write code, lead teams, and make sure what we build creates real business impact. I don't just manage — I build, ship, and scale.

Experience

Dec 2025 – Present Abu Dhabi, UAE

Senior Technical Product Owner

Abu Dhabi Commercial Bank (ADCB)

Conversational AI Stream | Enterprise RAG Platform

  • Zero to production in 8 weeks — took a conversational AI concept and shipped a fully secure, enterprise-grade RAG platform using Semantic Kernel, Azure Document Intelligence, Azure Search, Embedding Models, and Compass LLM
  • 2,000+ users live, 2M on the roadmap — platform is already serving internal customers with a plan to roll out to ADCB's entire customer base by end of March 2026
  • Leading a team of 10 across AI Engineers, DevOps, Conversation Design, Solution Architecture, and Delivery — driving the entire conversational AI stream
  • Built the eval pipeline from scratch — automated evaluation framework and performance dashboard to continuously monitor model quality and results
  • Broke through banking bureaucracy — navigated legacy policies and complex processes to unlock the critical data the team needed to ship
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Jan 2025 – Nov 2025 Abu Dhabi, UAE

Technical Delivery Manager

EPAM Systems

Client: ADNOC / AIQ | EnergyAI – World's first large-scale agentic AI for energy

  • First-in-program go-live — secured client sign-off and launched on two reservoirs, the first team in the entire EnergyAI program to reach production
  • 20+ person cross-functional team — orchestrated SMEs, PMs, Data Scientists, Engineers, and QA/QC to deliver against OKRs on an ambitious timeline
  • Hands-on with the AI — co-developed the Reservoir Monitoring Plan Agent integrating GPT-4o, Semantic Kernel, and LangChain for predictive decision support
  • Architected the data backbone — built multi-environment pipelines using Microsoft Fabric lakehouse, Azure Functions, and Blob storage across gold/silver data layers
  • ML at scale — designed ML pipelines on Azure ML with MLFlow for reproducibility, deployed agents and models on Kubernetes (AKS) for scalable production
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Nov 2022 – Sep 2024 London, UK

Head of Engineering

Elerian AI — B2B Conversational AI Startup

  • 1 million human minutes automated per year — built and shipped a multi-tenant AI voice agent for a major insurance client (5,000+ employees), cutting operational costs by 20%
  • 99.9% uptime, zero excuses — multi-cloud architecture across AWS, Azure, and on-prem, keeping production humming for multiple clients simultaneously
  • 25% engagement boost — shipped omnichannel capabilities via WhatsApp and Telegram integration
  • $1M in additional funding secured — presented directly to investors as part of the leadership team, backed by delivery results
  • 30% revenue growth — scaled the client base across finance and insurance by providing technical expertise and automation strategies to the sales pipeline
  • Built the voice pipeline — architected real-time voice processing with custom VAD and voice biometrics on a microservices architecture
  • 10 engineers, 3 regions — grew and led a global team, recruiting top talent from companies like Expedia
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Jan 2022 – Nov 2022 London, UK

Head of Product & Engineering

CourtCorrect — B2B SaaS Legal Tech

  • 20% revenue uplift — led product diversification into new features and markets that directly moved the top line
  • 50% faster team output — introduced Docker, CI/CD with GitHub Actions, and DevOps practices that cut release cycles from days to hours
  • Killed the monolith — migrated the entire architecture to microservices (Python/FastAPI/Node.js) with Vue.js micro frontends, giving teams true autonomy
  • Heroku to AWS Fargate — moved to serverless with autoscaling, slashing infrastructure costs while boosting reliability
  • NLP for legal automation — integrated Spacy for document processing, entity extraction, and classification, replacing manual legal review workflows
  • 25% faster database — led GDPR-compliant data migration to AWS RDS while improving performance and cutting costs
  • Built the team from scratch — grew to 10+ engineers, recruiting senior talent from DXC and establishing Agile/Scrum across the department
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Aug 2016 – Dec 2021 London, UK

Senior Associate Software Engineer

JPMorgan Chase

  • Discover DXD — 150+ users in year one — full-stack lead on an internal design search engine (Python/Flask + React), drove 50% engagement boost through data-driven A/B testing and NLP-powered search with Spacy
  • DXD Onboarding — hiring time cut by 5x — automated the hiring pipeline for 50+ roles with Python, slashed UI testing time by 45% with Selenium & Jest
  • DocuBot — AI that writes presentations — built an NLP-powered PowerPoint automation tool, presented to leadership and secured executive buy-in to productionise
  • DPS & You — 90% org-wide adoption — objectives visualization tool that became the standard across the org, with 60% faster APIs via PostgreSQL optimization
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Projects

🏆
2ND PLACE - $15K

HotLabel

Crowdsourced Data Labeling Platform for LLM Alignment

Replaces intrusive online ads with micro data-labeling tasks embedded directly into websites. Built the entire platform from scratch for TII's global CrowdLabel Challenge — won 2nd place for Most Innovative Solution. A full microservices ecosystem with multi-layer QA validation, privacy-first user profiling, and an API gateway orchestrating everything.

7 Microservices
4 Databases
$15K Prize Won

Architecture

Kong Gateway Tasks Publishers Users QA
PostgreSQL Redis Prometheus Grafana
FastAPI SQLAlchemy PostgreSQL Redis Kong Docker Alembic Celery Pydantic v2 GCP
🤖
R&D

Banking AI Agents

Multi-Agent Orchestration with Semantic Kernel

Personal R&D project: a 6-agent banking assistant with a semantic orchestrator that routes queries via hybrid intent classification (70% LLM + 30% pattern matching). Agents handle product discovery, onboarding, financial guidance, and cross-selling — with cross-agent data sharing, ZKP-style context handoffs, and a shared skills layer backed by Azure Cosmos DB.

6 AI Agents
Hybrid Intent Engine
E2E Tested

Agent Architecture

Orchestrator Intent Classifier Agent Router
Welcome Products Onboard Finance CrossSell General
Semantic Kernel Azure OpenAI Cosmos DB Azure AI Search Streamlit Pydantic v2 Docker httpx
FULL PRODUCT

OwnIt

Decentralised Data Marketplace on Blockchain

A full-stack decentralised data marketplace where users truly own their data. Handles the entire lifecycle: DID-based identity, AES-256 encrypted storage on IPFS via Pinata, real-time data streaming on the Streamr network (Polygon), and smart contract transactions with zero-knowledge proof verification. Five repos, three languages, one product.

5 Repositories
ZKP Verified
Web3 Native

System Design

Core (DID + ZKP) Store (IPFS) Stream (Streamr) Transact (EVM)
Solidity Web3.py AES-256-GCM Pinata/IPFS
Python TypeScript Solidity Web3.py ethers.js FastAPI Express Streamr SDK Hardhat Truffle IPFS
📈
OPEN SOURCE

Financial RAG

Full-Stack RAG for Regulatory Document Analysis

Production-grade RAG system for querying financial regulatory documents (ISO 20022, ISO 27001) in natural language. Full-stack with a React frontend, FastAPI backend, Qdrant vector store, and Redis caching. Includes RBAC auth, streaming responses with source citations, and a built-in evaluation framework for relevance scoring and completeness.

4 Containers
RBAC Auth
Eval Pipeline

Stack

React + Vite FastAPI Azure OpenAI
Qdrant Redis Azure Blob
FastAPI React Qdrant Azure OpenAI Redis Tailwind Docker JWT Radix UI

Skills

🤖

AI / ML

Semantic Kernel LangChain Azure OpenAI RAG Architectures Multi-Agent Systems Conversational AI NLP / Spacy ASR / VAD MLOps / MLFlow Vector Databases LLM Evaluation
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Languages & Frameworks

Python TypeScript JavaScript Solidity Go SQL FastAPI Flask Express React Vue.js Streamlit Pydantic SQLAlchemy

Cloud & Infrastructure

AWS (Fargate, RDS, S3, SQS) Azure (AI Search, Cosmos DB, Functions, Blob, AKS) GCP MS Fabric Kubernetes Docker Terraform Kong API Gateway
🛠

Data & DevOps

PostgreSQL Redis Qdrant Cosmos DB Alembic CI/CD GitHub Actions Prometheus Grafana Celery

Web3 & Security

Web3.py / ethers.js Solidity Smart Contracts Hardhat / Truffle IPFS / Pinata DID / ZKP AES-256 Encryption JWT / OAuth 2.0 RBAC

Product & Leadership

Roadmapping Backlog Prioritization Stakeholder Management Agile / Scrum OKRs Team Building Investor Presentations Vendor Management

Education

BSc (Hons) Computing with Industrial Experience

University of the West of England

2013 – 2016