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AI Engineer with 10+ years in AI/ML, Data Science & NLP
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Assessing your cultural and operational fit
Experienced AI Engineer with a robust background of over 16 years in technology, including more than 8 years specializing in extracting insights and developing end-to-end algorithms from diverse and complex datasets. Brings extensive experience in software and product development, with over 10 years in the field and more than 7 years in dynamic start-up environments. Skilled in AI/ML, statistics, text processing, computer vision, and regtech. Enthusiastic about leveraging machine learning methodologies to create innovative applications that drive societal impact and enhance real-world products using state-of-the-art technologies.
University of Essex
Master of Data Science · Machine Learning, Statistics, Deep Learning, Text Processing
August 1, 2022 – June 30, 2023
Institute of Business Administration
Master of Computer Science · Artificial Intelligence, Information Retrieval
August 1, 2012 – June 30, 2014
University of Karachi
Bachelor of Computer Science · Data Structures, Programming, Statistics, Deep Learning, Databases, Modelling Simulation
August 1, 2004 – June 30, 2008
Laven Partners
Lead AI Engineer
November 1, 2023 – Present
London, England, United Kingdom
LoveForData
Technical Head
February 1, 2016 – February 1, 2022
Karachi, Sindh, Pakistan
PredictifyMe
Technical Lead
August 1, 2015 – January 1, 2016
Raleigh, North Carolina, United States
PredictifyMe
Big Data Developer
January 1, 2015 – July 1, 2016
Raleigh, North Carolina, United States
eDev Technologies
Principal Software Engineer
August 1, 2014 – July 1, 2015
Toronto, Ontario, Canada
eDev Technologies
Senior Software Engineer
May 1, 2012 – August 1, 2014
Toronto, Ontario, Canada
eDev Technologies
Software Engineer
May 1, 2009 – April 1, 2012
Toronto, Ontario, Canada
MS Research Survey on "Semantic Information Extraction: A Survey of Current Approaches."
Unknown
June 1, 2026 – Present
BS Thesis Neural Networks and Adaptive Flight Control System: Back Propagation Algorithm is used for training pitch rate command augmentation systems.
Unknown
June 1, 2026 – Present
QAS: A Composite Query-Attributed Score for Evaluating Retrieval-Augmented Generation Systems
Unknown
January 1, 2025 – Present
MS Thesis: Large Language Models for Conversational Question Answering on Regulatory Texts
Unknown
January 1, 2023 – Present
Identification of opinion leaders in social network
International Conference on Information and Communication Technologies (ICICT)
January 1, 2015 – Present
Proven Professional Data Scientist Associate (EMCDSA)
EMC
August 1, 2012 – Present
Cultural Fit Analysis
The candidate's diverse experience across multiple companies (PredictifyMe, eDev Technologies, LoveForData, Laven Partners) and roles (Software Engineer to Lead AI Engineer/Technical Head) suggests adaptability and a willingness to take on new challenges. The focus on leveraging machine learning for real-world impact and innovative applications aligns well with a forward-thinking, impact-driven culture. The breadth of skills and continuous learning (multiple Master's degrees, research publications) indicate a proactive and growth-oriented mindset, which is beneficial for cultural fit in dynamic tech environments. The experience in both startup and established company settings further enhances cultural adaptability.
Soft Skills & Operational Fit
The candidate's resume indicates strong collaboration skills, working with business stakeholders, IT teams, clients, and cross-functional teams. Experience in leading development teams and managing projects suggests good leadership, communication, and project management abilities. The diverse project portfolio, including work in finance, real estate, and retail, demonstrates adaptability and a problem-solving mindset. The emphasis on best software design practices and code maintenance indicates a commitment to operational excellence.