Jawad Ahmed
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning Architect @ 66Degrees
• 9+ years of hands-on industry experience in Applied AI & Machine Learning, Deep Learning and Natural Language Processing (NLP/NLU). • Strong background in mathematics having theoretical understanding of Statistical Machine Learning & Deep Learning. • Experience in fine-tuning and pre-training Language Models. • Experience with LLMs (ChatGPT, LLaMA) and RAG approaches. • Helped bring Deep Learning models to production in real-time constraints with limited compute resources. My areas of interest are ML research applications to solve real world problems and help build products with scalable ML solutions in NLP/NLU, Conversational AI, Computer Vision, ASR and ML driven automation systems. Public Speaking (Technical): • Toronto ML Summit 2022 https://www.youtube.com/watch?v=Y0zAdGyvLL0
University of Waterloo
Master's degree, Computer Engineering
January 1, 2016 – January 1, 2017
National University of Sciences and Technology (NUST)
Bachelor of Applied Science - BASc, Electrical Engineering
January 1, 2009 – January 1, 2013
66degrees
Machine Learning Architect
January 1, 2025 – Present
Waterloo, Ontario, Canada · Remote
Career Break
Travel
December 1, 2023 – January 1, 2025
Loblaw Digital
Staff Machine Learning Engineer
June 1, 2022 – November 1, 2023
Waterloo, Ontario, Canada · Remote
Flipp
Senior Data Scientist - Machine Learning
August 1, 2020 – June 1, 2022
Waterloo, Ontario, Canada · Remote
Dialpad
Applied Scientist - NLP
April 1, 2018 – August 1, 2020
Kitchener, Ontario, Canada
TalkIQ
Machine Learning Engineer - NLP (Acquired by Dialpad)
February 1, 2017 – April 1, 2018
Kitchener, Ontario, Canada
University of Waterloo
Graduate Teaching Assistant
May 1, 2016 – December 1, 2016
Waterloo, Canada
McKinsey & Company
Algorithm Engineer - AI Product
November 1, 2013 – December 1, 2015
Washington DC-Baltimore Area
Cultural Fit Analysis
The candidate has worked in diverse environments, from large enterprises (Loblaw Digital, McKinsey) to startups (TalkIQ, Flipp), demonstrating adaptability. Their involvement in recruiting and mentorship suggests a willingness to contribute to team growth and knowledge sharing. The breadth of projects, including e-commerce, telecommunications, and automotive, indicates a versatile problem-solver. However, the target role of 'Data Analyst' is a significant step down from 'Machine Learning Architect' and 'Staff Machine Learning Engineer', which might indicate a mismatch in career aspirations or a lack of understanding of the target role's scope, potentially leading to underutilization or dissatisfaction.
Soft Skills & Operational Fit
The candidate's experience in leading ML teams, mentoring, and working with cross-functional teams (PMs, Linguists, ASR, DE teams) suggests strong collaboration, communication, and leadership skills. Their involvement in literature review and organizing learning sessions indicates a proactive and continuous learning mindset. The career break for travel might indicate adaptability and a broader perspective, but also a potential gap in recent hands-on technical work depending on the duration.