Open to Internship & Full-Time Opportunities
Building intelligent AI systems that solve real-world problems.
I'm Sharif Abusad, an AI/ML Engineer working across Machine Learning, Deep Learning, and NLP — and building Generative & Agentic AI applications on top of that foundation, served through production FastAPI backends.
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Who I Am
I design AI systems end to end, from data to deployment.
I'm an AI/ML Engineer who works across the full spectrum — classical Machine Learning, Deep Learning, and NLP, through to Generative and Agentic AI. Whatever the model, I care about the same thing: getting it from a notebook into a real, served application behind a clean FastAPI backend.
Machine Learning
Feature engineering, model selection, and evaluation with Scikit-learn and XGBoost — I build classical ML systems that hold up on real, messy data, not just clean benchmarks.
Deep Learning & NLP
CNNs, LSTMs, and Transformer-based architectures with PyTorch and TensorFlow, applied to language and time-series problems — from text classification to sequence forecasting.
Generative & Agentic AI
RAG pipelines, prompt engineering, and multi-step agent workflows with LangChain and LangGraph — the layer where LLMs turn into products people actually use.
Backend & Deployment
Every model needs an API. I serve ML and LLM systems through FastAPI with async, typed endpoints, containerized with Docker and versioned in Git.
Engine Room
Tech stack & core expertise.
Tools I reach for at every stage of an AI product — from raw data to a deployed, tool-calling agent.
Programming
Languages I think and build in.
PythonSQL
Machine Learning
Classical ML from data to decision.
Scikit-learnFeature EngineeringModel EvaluationHyperparameter TuningEnsemble LearningXGBoostCross ValidationTime Series Forecasting
Deep Learning
Neural networks, trained and tuned.
TensorFlowKerasPyTorchANNCNNLSTMTransfer Learning
NLP
Turning language into signal.
TransformersSentence EmbeddingsText PreprocessingTF-IDFBag of WordsWord2VecSemantic SearchText Classification
Generative AI
LLMs applied to real problems.
LLM ApplicationsRetrieval-Augmented Genration (RAG)Prompt EngineeringEmbedding ModelsHugging FaceLocal LLMsVector DatabasesContext Engineering
Agentic AI
Systems that plan, call, and act.
LangChainLangGraphMulti-Agent WorkflowsTool CallingMemory ManagementState ManagementAgent OrchestrationStreaming Responses
Backend
Serving models as real products.
FastAPIREST APIsPydanticAsync Programming
Data & Deployment
Where the models actually live.
SQLiteChromaDBFAISSHugging FaceDockerGit & GitHubStreamlitRenderMLOps
Core Advanced Working
My Work
Featured projects.
Six production-minded builds spanning classical ML, deep learning, NLP, and agentic Generative AI. Live demos and source are one click away.
Experience
Currently building.
Open to Internship & Full-Time Opportunities
I'm currently building production-ready AI applications and continuously expanding my expertise in modern AI engineering — from Agentic AI workflows to deployable Generative AI products. A formal role history will land here soon.
My Journey
Education & continuous learning.
Formal study paired with hands-on AI projects, building expertise in parallel rather than one after the other.
2026 — PresentOnlineIn Progress
Master of Computer Applications (MCA)
Lovely Professional University (Specialization with AI/ML)
Pursuing MCA online with a focus on advanced Machine Learning, Deep Learning, and modern AI system design, while building production-grade AI projects alongside coursework.
2023 — 2026
Bachelor of Computer Applications (BCA)
Shibli National College
Completed BCA (CGPA 8.8) with a strong foundation in programming, data structures, databases, and software engineering — the base that led into a focused specialization in AI/ML and Generative AI.
Open Source
GitHub activity.
A live look at how consistently I ship — connect the GitHub API to replace this with real-time contribution data.
25+
Public Repositories
200+
Contributions this year
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Stars Earned
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Get In Touch
Let's build something intelligent together.
Open to internship and full-time AI/ML roles. Reach out directly or send a message below.