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Jad Akil

AI Engineer & Backend Systems Developer

LLM & Agent Systems Builder

Building intelligent AI systems with Large Language Models, RAG pipelines, NLP, AI Agents, Deep Learning, and scalable backend architectures.

AI EngineerBackend SystemsLLMsRAGAI Agentsn8n AutomationDeep Learning

About Me

I'm Jad Akil, an AI Engineer and Backend Systems Developer passionate about building intelligent, reliable, and scalable systems.

I specialize in Large Language Models, RAG pipelines, NLP, AI Agents, Deep Learning, and backend architecture.

I enjoy turning complex ideas into practical solutions that create real impact.

Learn more about me

Internship Experience

Khwarizme AI Team

AI/ML Engineering Intern

Started Jul 1, 2025Remote

Worked with the Khwarizme AI Team on real-world AI projects involving LLMs, RAG pipelines, and backend systems. Contributed to model integration, data pipelines, and scalable API development.

View experience details

Skills & Technologies

Core expertise across the AI stack

AI & Machine Learning

Building intelligent systems with modern ML, deep learning, and generative AI.

PythonPyTorchTensorFlowscikit-learnHugging FaceLangChainOpenAI APITransformersPeFT / LoRA

Backend & APIs

Scalable services and clean APIs to power reliable AI products.

FastAPIDjangoFlaskgRPCRESTGraphQLPydanticCeleryJWT / OAuth2

Databases & Infrastructure

Designing resilient data systems and cloud-native infrastructure.

PostgreSQLMongoDBRedisElasticsearchMinIOS3DockerKubernetesTerraform

Distributed Systems & Automation

Building event-driven pipelines, workflow automation, and processing data at scale.

Workflow Automationn8nApache KafkaApache SparkAirflowRayFlinkCron JobsPrometheus

Featured Projects

Selected work that solves real problems

View all projects

Chess Engine Hybrid AI Platform

A full-stack chess AI platform combining React, FastAPI, and a PyTorch deep learning training pipeline. The system uses a policy and value neural network with 11.5M parameters to predict move probabilities and evaluate board positions.

PythonPyTorchFastAPI

AI Recruiter Assistant

A production-grade AI recruiting backend that parses CVs, extracts structured candidate information, matches candidates to jobs using embeddings, and supports bilingual Arabic/English AI interviews.

PythonFastAPISQLAlchemy

Disease Risk Prediction

A machine learning pipeline for predicting 10-year coronary heart disease risk using the Framingham Heart Study dataset.

Pythonscikit-learnpandas

SmartOrder - Event-Driven Order & Delivery System

A distributed microservices platform for order, inventory, payment, delivery, and notification workflows using event-driven architecture.

Java 17Spring BootKafka

Codex-OpenCode MCP Bridge

A Node.js MCP bridge that orchestrates OpenCode CLI agents such as planner, builder, reviewer, debugger, and architect through Codex.

Node.jsJavaScriptMCP Protocol

CityMind Tripoli - AI Urban Digital Twin

An AI-powered urban intelligence and digital twin prototype for Tripoli, integrating geospatial data, interactive city layers, dashboards, simulation readiness, and an Ask Your City AI assistant.

Next.jsTypeScriptTailwind

AI Research & Experiments

Lab board

Exploring ideas, testing hypotheses, and shipping learnings.

View all experiments

LLM Applications

Prototyping real-world apps with LLMs.

RAG Pipelines

Retrieval-augmented generation pipelines.

AI Agents

Autonomous agents for tasks and workflows.

NLP Embeddings

Applied experiments for smarter AI systems.

Deep Learning Models

Applied experiments for smarter AI systems.

Chess AI Training

Applied experiments for smarter AI systems.

Model Evaluation

Applied experiments for smarter AI systems.

Prompt Engineering

Applied experiments for smarter AI systems.

Local LLM Inference

Prototyping real-world apps with LLMs.

Vector DB Experiments

Applied experiments for smarter AI systems.

Learning Journey

My Path to Building Intelligent Systems

A continuous journey of learning, building, and shipping real-world AI solutions.

01

Step

Computer Science fundamentals

02

Step

Python, algorithms, and data structures

03

Step

Machine Learning and data preprocessing

04

Step

Deep Learning with PyTorch and TensorFlow

05

Step

NLP, embeddings, and LLM applications

06

Step

RAG systems and AI agents

07

Step

Backend systems with FastAPI and Spring Boot

08

Step

Microservices, Kafka, Docker, and cloud fundamentals

09

Step

Building production-ready AI systems

Get In Touch

Let's Build Something Impactful Together

Open to collaborating on AI projects, backend systems, and innovative ideas.

Location

Tripoli, Lebanon

Email

jadakeel05@gmail.com

Phone

+961 81531154