Arbaz Shaikh
@arbazshaikh
Innovative ML Engineer specializing in AI for financial compliance.
IndiaWhat I'm looking for
As a dedicated ML Engineer with a dual degree in Electrical Engineering from the Indian Institute of Technology, Bombay, I have a strong foundation in signal processing and machine learning. My academic journey was marked by excellence, including receiving the Undergraduate Research Award for my thesis on anomaly detection in non-stationary time-series data. I also had the privilege of studying abroad at the University of Geneva, where I was awarded the Swiss Mobility Scholarship.
Currently, I am the first AI/ML hire at Facctum, a seed startup in the financial compliance domain. Here, I have successfully led major projects, including the development of an LLM-driven feature for sanctions data extraction, achieving an impressive 96% accuracy. My experience also includes automating KYC processes and building NLP-driven solutions that have significantly reduced operational costs and execution times for our clients. My previous roles at Symita and KU Leuven have further honed my skills in integrating LLMs into products and conducting impactful research in financial networks.
Experience
Work history, roles, and key accomplishments
ML Engineer
Facctum India
Oct 2023 - Present (2 years)
As the first AI/ML hire at Facctum India, I mentored interns and junior engineers while leading projects in financial compliance. I developed an LLM-driven feature for sanctions data extraction, achieving 96% accuracy and significantly reducing data processing times. I also automated KYC processes and built various PoCs for payment aggregators.
ML Engineer
Symita Inc
May 2023 - Aug 2023 (3 months)
At Symita Inc, I led the integration of LLMs into the product, developing a medical AI chatbot and exploring autonomous medical coding. My work focused on enhancing patient interaction through AI-driven solutions.
Graduate Researcher
KU Leuven
Oct 2021 - Dec 2022 (1 year 2 months)
Conducted independent research on financial networks, focusing on mesoscale structures and their systemic importance. This research aimed to quantify interactions among financial institutions.
Data Scientist
Envestnet Yodlee
May 2019 - Jul 2019 (2 months)
Developed an NLP-driven product to identify financial securities in wealth transactions. My statistical model improved performance by 33% on a dataset of over 8 million securities.
Education
Degrees, certifications, and relevant coursework
IBIndian Institute of Technology, Bombay
B.Tech and M.Tech, Electrical Engineering
2016 - 2021
Grade: 10/10
Activities and societies: Received the Undergraduate Research Award (URA03) for exceptional research and thesis.
Completed a Dual Degree program with a B.Tech and M.Tech in Electrical Engineering, specializing in Signal Processing Engineering. Conducted a thesis on Anomaly Detection in A Non-Stationary Time-Series and received the Undergraduate Research Award for exceptional research.
UGUniversity of Geneva
2019 - 2020
Participated as a Semester Exchange Student and was awarded the Swiss Mobility Scholarship, being one of the two recipients. Received a Letter of Recommendation from the Vice-Dean of the school.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
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