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AI Engineer

Building AI systems, developer tools, and modern software.

Building AI agents, retrieval systems, developer tools, and open-source software.

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Grounded in Ali's experience, projects and blogs.

About

About Me

AI writes code. Engineers build software.

I got my Master's in Computer Engineering from New York University and Bachelor's in Computer Science from the University of South Florida.

Currently focused on AI systems, retrieval workflows, and developer tools that make complex software easier to reason about. My work tends to sit close to model orchestration, data flow, observability, interfaces, and the infrastructure needed to make AI products reliable.

Outside of work I actively train Mixed Martial Arts, enjoy cooking, going on hikes, and am into aquarium fish and reptiles.

Abstract engineering workspace visualization

Experienced In

RAG Systems

Building

Firelens

Learning

Mojo

Interested In

LLM Inference

Skills

Tools for building practical software

A functional stack across product engineering, AI infrastructure, systems, and deployment.

PythonJavaScriptTypeScriptGoC/C++MojoReactBunPostgreSQLFastAPIPyTorchTensorFlowNumPyPandasOpenCVPythonJavaScriptTypeScriptGoC/C++MojoReactBunPostgreSQLFastAPIPyTorchTensorFlowNumPyPandasOpenCV
LangChainLlamaIndexOpenAIOllamaRedisDockerLinuxGitAWSGCPMLflowRayOpenShiftLangChainLlamaIndexOpenAIOllamaRedisDockerLinuxGitAWSGCPMLflowRayOpenShift

Career

Experience

Building reliable AI systems, retrieval workflows, and tools that turn complex information into useful outcomes.

Providge Consulting

AI Engineer

July 2026 - Present

New York, NY

  • Engineered multimodal document-understanding systems that extract and reason over complex PDFs containing tables, charts, forms, and scanned images using vision-language models and OCR pipelines.
  • Developed autonomous AI agents that dynamically plan multi-step workflows, select specialized tools, and synthesize information from heterogeneous enterprise data sources.
  • Designed scalable document-processing pipelines with layout analysis, metadata extraction, and asynchronous orchestration for high-throughput enterprise AI applications.

NYU Research Technology Services

GenAI Developer

December 2024 - May 2026

New York, NY

  • Architected and deployed end-to-end Retrieval-Augmented Generation (RAG) pipelines using OpenWebUI and vector databases, improving model accuracy and reducing hallucinations for domain-specific queries.
  • Engineered real-time Python data-ingestion modules that integrate Google Search APIs, increasing LLM context coverage by 40% and enabling answers to live-event queries.
  • Built a user-facing agentic interface that automates complex data analysis, converting natural language directly into Pandas workflows to accelerate research operations.

Selected Work

Featured Projects

Three representative projects across agents, retrieval, inference tooling, and production engineering.

Pelmen Coding Agent project preview
In Progress

Pelmen Coding Agent

A TypeScript coding agent CLI with streaming tools, session restore, model switching, and context management.

TypeScriptBunAI AgentsOpenRouterInk
GitHub
FireLens project preview
In Progress

FireLens

A local-first hybrid code retrieval engine with AST symbols, semantic chunks, and incremental indexing.

PythonSQLiteMojoEmbeddingsStreamlit
GitHubLive Demo
MeshNet project preview
Complete

MeshNet

A heterogeneous graph neural network for identifying devices in mesh networks.

PyTorchPyTorch GeometricGNNPythonML
GitHub

Archive

All Projects

A broader view of experiments, tools, and engineering systems.

Pelmen Coding Agent project preview
In Progress

Pelmen Coding Agent

A TypeScript coding agent CLI with streaming tools, session restore, model switching, and context management.

TypeScriptBunAI AgentsOpenRouter
FireLens project preview
In Progress

FireLens

A local-first hybrid code retrieval engine with AST symbols, semantic chunks, and incremental indexing.

PythonSQLiteMojoEmbeddings
MeshNet project preview
Complete

MeshNet

A heterogeneous graph neural network for identifying devices in mesh networks.

PyTorchPyTorch GeometricGNNPython

Knowledge Graph

Explore the work behind the work.

Browse public projects, writing, experience, and skills as a connected map.

Use the filters or search field. Select a node to open its public source.