Looking for a job

Ahmed Rizk Gawish

@ahmedrizkgawish

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I build agentic AI workflows, semantic retrieval systems, and reliable data-intensive applications.

Egypt

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What I'm looking for

I'm open to on-site, hybrid, and remote roles where I can build applied GenAI, agentic workflows, semantic retrieval systems, and reliable data-intensive applications.

I've built agentic AI systems that reason over documents, verify claims, and retrieve grounded answers from unstructured data.

At InGeneral AG, I developed Python/FastAPI backend services and REST APIs that integrated LLM capabilities into business workflows. I also built Redis Streams background workers for asynchronous processing and API-output compliance.

Through the NVIDIA x ITI GenAI Program, I improved document-retrieval precision by 28% with LangGraph and FastAPI. I fine-tuned Llama 3 8B using PyTorch PEFT/QLoRA, reducing memory overhead by 72%, and built automated Ragas/PyTest evaluation suites.

I've also engineered multi-tenant streaming platforms, multimodal discovery products, and predictive classification pipelines, while leading machine learning training for 50+ engineers through IEEE KFS Student Branch.

Experience

Work history, roles, and key accomplishments

AI Software Engineer

InGeneral AG

Jun 2025 - Jul 2026 (1 year 1 month)

Developed modular backend services and REST APIs in Python/FastAPI, integrating LLM capabilities into business workflows. Built event-driven background workers using Redis Streams to process asynchronous tasks.

Python fastAPI REST APIs LLM REDIS Streams Event Driven Architecture

Data Science Lead

Microsoft Student Club

Sep 2025 - May 2026 (8 months)

Delivered hands-on masterclasses covering exploratory data analysis, data modeling, and integrating intelligent APIs into web applications.

Data Science Data Modeling APIs Teaching

AI Software Engineering Fellow

NVIDIA x ITI GenAI Program

Jan 2026 - Apr 2026 (3 months)

Developed agentic retrieval pipelines with LangGraph and FastAPI, achieving a 28% precision gain on complex document benchmarking evaluations. Fine-tuned open-source foundation models with PyTorch PEFT/QLoRA, reducing memory overhead by 72%.

LangGraph fastAPI PyTorch PEFT QLoRA Ragas Pytest Agentic Workflows

Head of Machine Learning Committee

IEEE KFS Student Branch

Sep 2025 - Mar 2026 (6 months)

Directed technical training tracks for 50+ engineers, teaching machine learning fundamentals, PyTorch development, and code review standards.

Machine Learning PyTorch Teaching Code Review Leadership

Software & Data Engineering Trainee

DEPI – Microsoft Track

Apr 2025 - Nov 2025 (7 months)

Developed predictive machine learning classification pipelines across 50K+ structured records, achieving a 0.88 macro-F1 score through cross-validation. Built automated data validation routines and relational database schemas to eliminate target leakage.

Machine Learning Python scikit learn Data Validation SQL Relational Databases