Jake Mclain
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Jake Mclain Email & Phone Number

Deep Learning & Machine Learning Specialist
Location: New York City Metropolitan Area, United States 4 work roles 2 schools
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Role
Deep Learning & Machine Learning Specialist
Location
New York City Metropolitan Area, United States

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Jake Mclain is listed as Deep Learning & Machine Learning Specialist based in New York City Metropolitan Area, United States. AeroLeads shows a matched LinkedIn profile for Jake Mclain.

Jake Mclain previously worked as Technical Director (VC Fund) at Monday Capital and DeepLearning Implementation Specialist at Hewlett Packard Enterprise. Jake Mclain holds Master Of Science - Ms, Theoretical And Mathematical Physics from New York University.

Profile bio

About Jake Mclain

I empower internal teams and stakeholders to efficiently leverage ML by providing a platform and by unifying, educating, and advancing the state of the art in ML technologies.I win when our customers win, by helping our users stay informed, share and discuss what matters; by serving the public conversation. We’re building an AI-first company and every major initiative is increasingly dependent on the successful application of machine learning. Myself and our amazing team of ML software engineers are constructing one of the strongest machine learning platforms in the world, based on the latest ML industry practices, deep learning, engineering excellence, powered by data at scale.

4 roles · 13 years

Jake Mclain work experience

A career timeline built from the work history available for this profile.

Technical Director (Vc Fund)

Key Responsibilities:Investment Strategy Development: Played a pivotal role in shaping the fund's investment strategy, focusing on technology-driven startups and emerging tech sectors.Technical Due Diligence: Led technical due diligence processes, evaluating the technological feasibility, scalability, and innovation of potential portfolio companies.Portfolio Management: Actively involved in the management and support of the fund's portfolio companies, offering technical guidance and… Show more Key Responsibilities:Investment Strategy Development: Played a pivotal role in shaping the fund's investment strategy, focusing on technology-driven startups and emerging tech sectors.Technical Due Diligence: Led technical due diligence processes, evaluating the technological feasibility, scalability, and innovation of potential portfolio companies.Portfolio Management: Actively involved in the management and support of the fund's portfolio companies, offering technical guidance and strategic insights.Industry Analysis: Kept abreast of latest technology trends and market dynamics to inform investment decisions and provide thought leadership within the fund.Stakeholder Engagement: Worked closely with founders, co-investors, and other stakeholders, fostering relationships and providing technical expertise to support business growth.Team Leadership: Led a team of analysts and technical experts, ensuring high-quality analysis and due diligence, and contributing to their professional development.Key Achievements:Successfully led the fund to invest in several high-potential startups, some of which have shown significant growth and market impact.Developed and implemented a robust due diligence framework that significantly reduced investment risks and improved the success rate of the portfolio.Recognized for exceptional leadership and strategic contributions to the fund's growth and reputation in the tech investment community. Show less

2021 - 2023 ~2 yrs

Deeplearning Implementation Specialist

New York, United States

Key Responsibilities:Led the design and implementation of deep learning solutions to address complex business challenges, ensuring alignment with IBM's strategic objectives.Collaborated with cross-functional teams to integrate advanced AI models into client projects, resulting in improved efficiency and performance.Managed the end-to-end lifecycle of deep learning projects, from initial research and development to deployment and maintenance.Provided technical leadership in… Show more Key Responsibilities:Led the design and implementation of deep learning solutions to address complex business challenges, ensuring alignment with IBM's strategic objectives.Collaborated with cross-functional teams to integrate advanced AI models into client projects, resulting in improved efficiency and performance.Managed the end-to-end lifecycle of deep learning projects, from initial research and development to deployment and maintenance.Provided technical leadership in machine learning and AI, staying abreast of latest trends and technologies to drive innovation within the team.Conducted rigorous testing and validation of models to ensure accuracy, reliability, and scalability in diverse operational environments.Delivered customized training sessions and workshops to team members and clients, enhancing their understanding and skills in deep learning applications.Key Achievements:Successfully deployed hundred of deep learning models, leading to a 178Y% improvement in [specific business metric, e.g., customer satisfaction or process efficiency].Recognized for outstanding contribution to [a specific project or initiative], which enhanced IBM's reputation as a leader in AI solutions.Authored or co-authored 2 of research papers/articles on cutting-edge AI technologies, showcasing IBM's thought leadership in the industry.Played a pivotal role in securing a major client deal or partnership through expert solutioning and demonstration of IBM’s AI capabilities.Led a team of 200+ data scientists and engineers, fostering a culture of innovation and continuous learning. Show less

2019 - 2023 ~4 yrs

Sr. Neuromorphic Architecture Engineer

New York, United States

Key Responsibilities:Led the design and development of cutting-edge neuromorphic computing architectures, leveraging Xilinx technology to push the boundaries of neural network efficiency and performance.Pioneered innovative techniques in hardware acceleration for neuromorphic systems, significantly enhancing computational speed and energy efficiency.Collaborated closely with cross-disciplinary teams to integrate neuromorphic solutions into Xilinx's product offerings, ensuring… Show more Key Responsibilities:Led the design and development of cutting-edge neuromorphic computing architectures, leveraging Xilinx technology to push the boundaries of neural network efficiency and performance.Pioneered innovative techniques in hardware acceleration for neuromorphic systems, significantly enhancing computational speed and energy efficiency.Collaborated closely with cross-disciplinary teams to integrate neuromorphic solutions into Xilinx's product offerings, ensuring alignment with market demands and technological advancements.Played a key role in system-level modeling and simulation, driving the optimization of neuromorphic architectures for various applications.Spearheaded the research and implementation of novel algorithms and computational models to simulate brain-like neural processing on Xilinx platforms.Engaged in knowledge sharing and mentoring within the team, enhancing the collective expertise in neuromorphic systems and contributing to a culture of innovation.Key Achievements:Developed and deployed neuromorphic architectures that led to a 30% increase in processing efficiency or reduction in power consumption in Xilinx products.Received the award for outstanding contributions to neuromorphic engineering, highlighting leadership and innovation in the field.Co-authored 2 of research papers in neuromorphic computing, contributing to Xilinx’s position as a thought leader in advanced computational technologies.Instrumental in securing a major Xilinx partnership, demonstrating the practical applications and commercial viability of neuromorphic solutions.Successfully led a team of engineers and researchers in groundbreaking projects, delivering results under tight deadlines and complex technical challenges. Show less

2016 - 2019 ~3 yrs

Technical Project Manager

During my time at Motorola as a Technical Project Manager, I was responsible for overseeing the development and execution of complex technical projects, ensuring they were completed on time, within budget, and to the highest quality standards. My role involved coordinating cross-functional teams, managing project timelines, and mitigating risks to achieve project goals. I played a pivotal role in the successful launch of several innovative products and technologies, enhancing Motorola's market… Show more During my time at Motorola as a Technical Project Manager, I was responsible for overseeing the development and execution of complex technical projects, ensuring they were completed on time, within budget, and to the highest quality standards. My role involved coordinating cross-functional teams, managing project timelines, and mitigating risks to achieve project goals. I played a pivotal role in the successful launch of several innovative products and technologies, enhancing Motorola's market competitiveness. My ability to navigate technical challenges and foster collaboration across diverse teams was instrumental in driving project success and delivering cutting-edge solutions to our customers. Show less

2014 - 2016 ~2 yrs
2 education records

Jake Mclain education

Master Of Science - Ms, Theoretical And Mathematical Physics

I earned a Master of Science (MS) in Theoretical and Mathematical Physics from New York University. This advanced degree provided me.

Bachelor Of Science - Bs, Applied Mathematics

I earned a Bachelor of Science (BS) in Applied Mathematics from Imperial College London. This degree provided a comprehensive education.

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What is Jake Mclain's role at their current company?

Jake Mclain is listed as Deep Learning & Machine Learning Specialist.

Where is Jake Mclain based?

Jake Mclain is based in New York City Metropolitan Area, United States.

What companies has Jake Mclain worked for?

Jake Mclain has worked for Monday Capital, Hewlett Packard Enterprise, Xilinx, and Motorola Solutions.

How can I contact Jake Mclain?

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What schools did Jake Mclain attend?

Jake Mclain holds Master Of Science - Ms, Theoretical And Mathematical Physics from New York University.

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