AI / ML & Agent Systems ArchitectRustSightNew Project: RustSight — Fast Dataset Profiling

Omar
Nahdi

Engineering autonomous AI agent systems and high-performance machine learning architectures, bridging frontier intelligence with reliable real-world deployment.

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ABOUT ME

Hi I'm Omar Nahdi, an AI/ML Architect & Agent Developer. I specialize in building autonomous, production-ready AI systems with a focus on agentic workflows, LLM orchestration, and scalable inference architectures. I focus on building AI systems that move from experimentation to production, prioritizing performance, reliability, and measurable outcomes.

MY EXPERIENCE

Aarogya Vatika 07/2025 - 12/2025

AI/ML Engineer

[Internship]

Designed and deployed production-ready AI systems for an early-stage e-commerce startup, focusing on LLMs, RAG pipelines, and agent architectures. Reduced vector search latency by 50%, built end-to-end agent workflows on AWS (500+ users), and conducted technical screening for 100+ AI/ML candidates.

IIT Bombay 01/2024 - 03/2024

ML Engineer

[Internship]

Built and evaluated classification and regression models on real-world datasets using Python and scikit-learn. Improved predictive performance through structured feature engineering, cross-validation, and targeted hyperparameter tuning. Designed reproducible experimentation workflows to systematically compare models and ensure reliable results.

MY LEARNING CURVES

Artificial Intelligence and Machine Learning

[Bachelor]
2024 - 2027

Pursuing a focused curriculum in artificial intelligence and machine learning with emphasis on applied ML, deep learning, and data-driven system design, building strong foundations in model development, optimization, and real-world AI problem solving while actively working on practical projects alongside coursework.

Dr Babasaheb Ambedkar Marathwada University

Artificial Intelligence and Machine Learning

[Diploma]
2021 - 2024

Completed an intensive diploma program centered on applied machine learning, covering data preprocessing, model building, and evaluation using Python-based ML stacks, with hands-on experience translating theoretical concepts into working ML solutions through projects and practical assignments.

Marathwada Institute of Technology

CORE EXPERTISE

Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Multi-Agent Systems
AI Agent Architecture
Vector Databases & Semantic Search
Transformer-Based Deep Learning
Model Deployment & Inference Optimization
API & Backend Engineering
Python & Rust

10M+

AI Tokens Used

50+

AI Agents

454+

Github Commits

Personal Github Activity

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2025
2026

NEWSLETTER

Building the Future of Agents

Join the engineering deep-dive. I share my experiments with local LLMs, agentic workflows, and the technical challenges of building autonomous systems. No fluff, just build logs.