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Jai Lad
VP, Quantitative Trading Strategist at Fidelity Investments
Jai Lad is an accomplished engineer specializing in AI and software engineering.
He has a strong background in developing hybrid and cloud-based solutions, holding the AWS Certified Developer Associate credential.
Jai collaborates closely with business partners in the Trading domain to identify and solve issues, delivering end-to-end solutions in an agile manner.
Passionate about the autonomous vehicle industry, Jai stays updated with current trends and advancements.
His expertise includes a wide range of Data Science and Machine Learning libraries, including Tensorflow, SciKitLearn, Keras, Pandas, Numpy, TPOT, and MLLib.
With over 5 years of experience, he excels in mobile development, creating both consumer-facing and enterprise Android and iOS applications.
Jai holds certifications as a Scrum Master and Scrum Product Owner, showcasing his proficiency in agile software delivery and collaboration within cross-functional teams.
He has played integral roles in developing high-quality Financial Trading applications for reputable institutions.
Additionally, Jai has expertise in implementing web service integrations for Enterprise Platforms using .NET and has conducted training in BIRT and Crystal Reports Development.
His academic background includes studies at Udacity, Harvard University, S.G.S.I.T.S. Institute, and Georgia Institute Of Technology, covering Computer Science and Electrical Engineering disciplines.
Currently, Jai Lad serves as the VP, Quantitative Trading Strategist at Fidelity Investments.