Faiez Tariq

AI/ML Engineer specializing in Agentic AI, RAG, and Computer Vision.

Based in: Lahore, PakistanCurrently: AI/ML Engineer, DeaimerExperience: 1 year

Faiez is an AI/ML Engineer with extensive experience in building multi-agent orchestration systems and RAG pipelines using LangChain and LangGraph. He holds a BS in Computer Science from FAST-NUCES and has a proven track record of deploying production-ready AI applications and computer vision security tools.

Experience

AI/ML Engineer

DeaimerRemoteworkJun 2026 – Present

Summary

Worked with Anthropic's and OpenAI's latest LLMs, designing novel problem sets to train and evaluate the models on tasks and edge cases they had not previously encountered. Built Python/pytest evaluation pipelines to systematically validate model responses, capture failure modes, and track improvements across training iterations. Containerized evaluation and training environments with Docker for reproducible, large-scale model testing workflows.

What I did

Created comprehensive edge-case coverage and made the evaluation process reproducible and scalable.

Results

Built Python/pytest evaluation pipelines to systematically validate LLM responses, identify failure modes, and track improvements across iterations.

Anthropic LLMsOpenAI LLMsPythonpytestDocker

AI/ML Engineer - RAG & Agentic Systems

FreelanceRemotefreelanceNov 2025 – Feb 2026

Summary

Architected and deployed Retrieval-Augmented Generation (RAG) pipelines for client AI applications, integrating vector databases with LangChain and LangGraph to power context-aware, multi-agent responses. Engineered monitoring and observability workflows for agentic AI systems, tracking pipeline performance, latency, and output quality in production. Collaborated remotely with clients to deliver production-ready RAG and agentic AI features on agile timelines.

What I did

Implemented monitoring for response latency, pipeline performance, and output quality to identify performance and quality bottlenecks.
Deployed containerized agentic AI and RAG applications using AWS ECS.
Managed the complete model lifecycle, including training, deployment, and evaluation.

RAGVector DatabasesLangChainLangGraphAgentic AIAWS ECSDocker

Backend Developer Intern

BrickclayFaisalabad, PakistaninternshipJul 2024 – Aug 2024

Built a robust HR Management System using ASP.NET, automating employee data handling, payroll processing, and attendance tracking. Optimized SQL Server database queries for large-scale employee record management, improving data retrieval speed and reliability. Collaborated with senior engineers in an Agile team, participating in code reviews, sprint planning, and daily standups.

ASP.NETSQL ServerAgile

Skills

Technical

LangChain

LangGraph

RAG

Python

LLMs

Hugging Face

Multi-Agent Systems

Prompt Engineering

NLP

Computer Vision

MediaPipe

FAISS

ChromaDB

FastAPI

REST API

Docker

Git

GitHub

pytest

C++

JavaScript

PyTorch

React

Next.js

MongoDB

PostgreSQL

SQL Server

AWS

Scikit-Learn

GANs

CI/CD

Whisper STT

TTS

ASP.NET

Supabase

GraphQL

Node.js

Express.js

Neon DB

Oracle

Model Deployment

Fine-tuning

AWS ECS

Areas of expertise

Agile/Scrum

Projects

Medical RAG Chatbot

Developerpersonal

Built a RAG-based medical chatbot with LangGraph-managed stateful multi-turn conversations and vector-database semantic search for accurate, verified medical answers.

LangGraphVector DatabaseSemantic Search

NeuroHire - AI-Powered Recruitment System

Lead Engineerprofessional

Engineered an end-to-end agentic AI hiring platform automating candidate screening, ranking, and assessment integrity through multi-agent orchestration using LangChain/LangGraph and MediaPipe computer-vision proctoring.

LangChainLangGraphMediaPipeComputer Vision

RAG-Based Multi-Agent Healthcare Voice Assistant

Developerpersonal

Built a voice-enabled multi-agent medical assistant using Whisper STT, a LangGraph multi-agent RAG pipeline over a medical knowledge base (FAISS/ChromaDB), and TTS-based spoken advice to close healthcare access gaps for rural patients.

Whisper STTLangGraphRAGFAISSChromaDBTTS

NeuroSecure - AI-Powered Intruder Detector

Developerpersonal

Built a Chrome extension using MediaPipe and face-api.js to detect unauthorized users via webcam and auto-lock the tab, with on-device AES-GCM encrypted face embeddings.

MediaPipeface-api.jsAES-GCM EncryptionChrome Extension

Advanced Deep Learning & Generative AI Research

Researcheracademic

Implemented image captioning, Masked Autoencoders (MAE), GAN training, CycleGAN domain adaptation, and Pix2Pix colorization on Kaggle dual-GPU infrastructure.

GANsCycleGANPix2PixMAEKaggle GPUComputer vision models

Education

BS in Computer Science (BSCS)

FAST-NUCESComputer ScienceGPA 3.4Jun 2026

Coursework

Data Structures & AlgorithmsOOPTheory of Automata

Societies & activities

Dean's List - 4 consecutive semesters

Recognition

Awards

Dean's List of Honors

FAST-NUCES

Awarded for 4 consecutive semesters

Certifications

Machine Learning Basics

Google

Responsive Web Design

freeCodeCamp

Social impact & activities

Teaching Assistant

FAST-NUCESmentor

Mentored 100+ students in C++, OOP design patterns, and theory of automata for 3 academic years.

Hire FaiezReach out about a role, a contract or a conversation.For recruiters

Faiez's twin is AI, it can make mistakes.

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