Atabak Ashfaq

AI Researcher

Vancouver, British Columbia, Canada6 yrs 6 mos experience
AI ML PractitionerHighly Stable

Key Highlights

  • Expert in AI safety and model fine-tuning.
  • Proven track record in developing machine learning pipelines.
  • Strong background in natural language processing and generative AI.
Stackforce AI infers this person is a skilled AI professional with a focus on machine learning and natural language processing.

Contact

Skills

Core Skills

Large Language Models (llm)Responsible AiGenerativeaiNatural Language Processing (nlp)Gpt-3Machine Learning

Other Skills

Microsoft Azure Machine LearningOpenAIPython (Programming Language)AlgorithmsMathematicaNumerical AnalysisMathematical ModelingFortranMathematicsComputer ProficiencyStatisticsFinanceBayesian inferenceHadoopC (Programming Language)

About

Currently working as a applied scientist in Microsoft. Graduated from Carnegie Mellon University with a masters in Data Science (ML and NLP).

Experience

Microsoft ai

Member of Technical Staff

Dec 2025Present · 3 mos · Vancouver, BC · On-site

Microsoft

6 roles

Member of Technical Staff - Post Training, CoreAI

Feb 2025Dec 2025 · 10 mos

  • Part of model post-training team under CoreAI. Focus on data, eval and RL for Github Copilot model training.

Senior Applied Scientist, 1P adoption + Safety Post-training, Azure GenAI

Jul 2024Feb 2025 · 7 mos

  • Working on AI safety for Phi-3 models - evaluation and finetuning.
Large Language Models (LLM)Responsible AIMicrosoft Azure Machine Learning

Senior Applied Scientist, Azure AI (Language)

Jan 2024Jul 2024 · 6 mos

  • Part of Azure AI Language Pillar, working on Retrieval Augmented Generation.
  • Responsible for AI Quality for Azure OpenAI OnYourData.
  • Tools: Prompt engineering, Generative AI evaluation, Agents, LLMs.
GenerativeAIOpenAILarge Language Models (LLM)

Senior Applied Scientist, Azure ML

Promoted

Sep 2022Jan 2024 · 1 yr 4 mos

  • Currently working on building Azure OpenAI On Your Data. Part of team responsible for AI quality, backend prompt engine and models.
  • Also, Worked on In-context learning for large language models
Natural Language Processing (NLP)GPT-3

Applied Scientist, Azure ML

Feb 2022Oct 2022 · 8 mos

  • Working on NL2Code models to enable natural language interfaces for SQL and other query languages using GPT-3
Python (Programming Language)Machine LearningNatural Language Processing (NLP)

Applied Scientist, Azure Data

Feb 2021Feb 2022 · 1 yr

  • Applied scientist in Azure OSS Database team working on using ML and NLP in database and database operations space.

Microsoft

Data Science Intern - Azure Data ML

May 2020Aug 2020 · 3 mos · Redmond, Washington, United States

  • Automatic tuning of database configuration using deep learning and black-box optimization.

Goldman sachs

2 roles

Data Scientist, Associate

Dec 2018Jul 2019 · 7 mos · Bengaluru Area, India

  • Worked as a data scientist/associate in Goldman Sachs for the past three years to build end-to-end Machine learning pipelines that help automate production management for the firm.
  • The responsibilities included:-
  • 1. Building robust statistical and machine learning models to find anomalies, detect root-causes and automate workflows with a focus on time series prediction and active learning
  • 2. Develop end-to-end pipelines to productionize ML models using the Hadoop Big data stack
  • 3. Drive product adoption through close client engagement starting from understanding client needs to delivering an ML product useful to clients by incorporating feedback at each stage.

Data Scientist

Jun 2016Dec 2018 · 2 yrs 6 mos · Bengaluru Area, India

Xerox research center, bangalore

Summer Research Intern

May 2015Aug 2015 · 3 mos · Bangalore

  • Explored retrofitting of word embedding methods to create domain-specific semantic similarity model.

National tsing hua university

Exchange Student

Sep 2013Dec 2013 · 3 mos · Taiwan

  • Scored a 3.98 GPA on exchange semester (on a 4.3 scale)
  • One of four students selected to go to Taiwan out of 186 by the institute through a selection process.

Education

Carnegie Mellon University

Master of Science - MS — computational data science

Jan 2019Jan 2020

Indian Institute of Technology, Delhi

Integrated Masters — Mathematics and Computer Science

Jan 2011Jan 2016

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