Atyab Hakeem

GenAI Technical Advisor @ Scale AI

About

Machine Learning Engineer specializing in RAG systems, LLMs, and production AI. At Scale AI, I built a RAG system to reduce coordinator workload by 40% and designed LLM evaluation workflows achieving 90%+ approval rates for frontier model training data. At Dassault Systèmes, I shipped Stable Diffusion integrations that boosted productivity by 70% and was showcased at 3DEXPERIENCE World 2025. For the Vitek Lab, I deployed an on-premise agentic RAG system for 10K+ scientific documents achieving 85% hit rate and 93% factual correctness. Contributed to Anthropic's Claude red teaming program. 3rd place at Harvard's Agriculture Datathon and Northeastern's MLOps Expo.

Country

City

United States

Industry

Information Technology & Services

Skill

Machine Learning, Python (Programming Language), Large Language Models (LLM), Artificial Intelligence (AI), MLOps, Deep Learning, Natural Language Processing (NLP), Amazon Web Services (AWS), Statistics, Generative AI, Docker, Django, Software Development, Open-Source Large Language Models, Microsoft Power BI, C#, Tkinter, Tableau, Microsoft Excel, Scikit-Learn

Experience

GenAI Technical Advisor

Scale AI

2025-6 - 2025-10 · 5 mos

- Built AI knowledge intelligence tool to streamline Slack workflows (FAQ, Knowledge Transfer), to reduce coordinator workload by 40% and transform query data into actionable insights - Designed LLM evaluation workflows across 100+ challenges in code generation and mathematics, achieving 90%+ approval rate for production training data at frontier model scale - Conducted red team testing using jailbreak & prompt injection techniques to identify LLM vulnerabilities across 20+ attack scenarios

Software Engineer

Dassault Systèmes

2024-9 - 2025-1 · 5 mos

Waltham, Massachusetts, United States

- Delivered end-to-end GenAI rendering solution to production, collaborating with product & design stakeholders to expand market reach by 20% - Implemented text-to-image & image-to-image pipelines using Stable Diffusion to generate photorealistic materials & environment maps, reducing rendering time by 70% - Presented technical demo to engineering leadership; solution showcased at 3DEXPERIENCE World 2025

Graduate Research Assistant

D'Amore-McKim School of Business at Northeastern University

2023-10 - 2024-10 · 1 yr 1 mo

Boston, Massachusetts, United States

Deployed video analysis pipelines on AWS and HPC clusters and benchmarked open-source and proprietary Large Language Models (LLMs) boosting advertisement intent identification accuracy by 33%.

Graduate Teaching Assistant

Khoury College of Computer Sciences

2024-1 - 2024-4 · 4 mos

Boston, Massachusetts, United States

Teaching Assistant for CS5800 Algorithms. Guided student learning, graded assignments, proctored exams, and managed communications.

Data Science Intern

Lincode India

2023-1 - 2023-6 · 6 mos

Bengaluru, Karnataka, India

Developed Edge Plus, an end-to-end data science pipeline application for efficient automobile part inspection, incorporating machine learning models and optimized data management.

DL Intern

iNeuron.ai

2022-10 - 2023-1 · 4 mos

Bengaluru, Karnataka, India

Implemented and optimized deep learning solutions, including chatbots and detection models on AWS, and developed comprehensive data processing pipelines to enhance model accuracy and user engagement.

ML Intern

Pantech.AI

2022-1 - 2022-3 · 3 mos

Bengaluru, Karnataka, India

Developed Python scripts for predictive algorithms and created robust data pipelines covering everything from data scraping and pre-processing to model training and testing.

CAE Engineer

Simulation Lab ®

2021-11 - 2021-12 · 2 mos

Conducted data retrieval, visualization, and analysis for aerodynamic studies using MySQL, Excel, Pandas, Plotly, and Ansys Workbench to optimize wing flap features and improve efficiency.