Engineering Professionals: Insights & Resources

Best AI & ML Consultants in New York City

Ryan Stevens

November 8, 2025

Best AI & ML Consultants in New York City

New York City Area AI & ML Consulting Services

In a city that never sleeps, New York City’s innovation pulse beats with data, algorithms, and code. From Wall Street trading floors to Brooklyn’s creative studios, AI and Machine Learning (ML) are redefining how engineering, finance, and digital products are built. The New York City–Newark–Jersey City metro area has become a thriving ecosystem where data scientists, AI strategists, and ML engineers collaborate to create intelligent solutions that reshape industries.

At Digital Reference, we’ve spent months conducting deep research to identify the most exceptional AI and ML consultants in the region. Our selection process emphasizes a few critical areas:

Proven track record of successful AI/ML deployments
Demonstrated engineering acumen and understanding of real-world data challenges
Contributions to open-source or public research in AI
Client testimonials, thought leadership, and portfolio depth

These consultants represent a spectrum of specialties—from enterprise automation and natural language processing to predictive modeling and applied ML in the engineering sector. Some work solo, others lead their own consulting firms, and several represent leading organizations shaping the next wave of artificial intelligence.

🗽 Why New York City Is Leading the AI & ML Frontier

New York City’s AI landscape is unlike any other. The convergence of finance, healthcare, education, and media industries has created fertile ground for data-driven problem-solving. AI consultants here don’t just build models—they build ecosystems.

Engineering firms are applying machine learning to structural design, process optimization, and predictive maintenance, while startups leverage AI to personalize user experiences or detect system anomalies in real-time. The cross-pollination of technology and creativity is what makes this city’s AI scene so special.

And now, let’s dive into our curated list of the top AI and ML consultants in New York City, each standing out for their unique blend of technical mastery and engineering-minded innovation.

🌟 Our Curated List of New York City’s AI & ML Experts

🔴 Kunal Patel

When it comes to digital transformation with an engineering edge, Kunal Patel exemplifies the integration of strategy and AI innovation. At Dark Consultancy, he has guided numerous mid-size engineering and IT firms toward cloud-native AI architectures and end-to-end digital modernization.

💡 Highlights:

🔹 Expert in AI-driven project delivery frameworks, blending agile principles with predictive analytics

🔹 Deep focus on AI adoption for industrial automation and real-time analytics

🔹 Regular speaker at digital strategy events in the NYC tech community

Kunal’s pragmatic approach ensures that businesses don’t just implement AI—they integrate it into their DNA for measurable business outcomes.

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🔴 Naveed Anjun

Full Stack Developer | Mobile APP | SaaS | AI/ML
🔗 LinkedIn | 🌐 The Byte Matter

With a dynamic background spanning software engineering, SaaS product development, and ML modeling, Naveed Anjun brings a full-stack perspective to AI consulting. His projects often intersect data science and user experience—developing intuitive AI-powered mobile apps and SaaS tools that help businesses streamline operations.

💡 Highlights:

🔹 Developed custom ML models for predictive maintenance in engineering workflows

🔹 Experienced in cross-platform app development integrating machine learning APIs

🔹 Advocates for responsible AI and data transparency

Whether consulting for startups or established firms, Naveed’s work consistently enhances performance through intelligent design.

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🔴 Ashutosh P.

Ashutosh P. blends academic depth with engineering pragmatism. Holding dual AWS certifications, his expertise in PyTorch, Spark, and LangChain has made him a go-to resource for firms seeking to integrate LLMs (Large Language Models) into production.

💡 Highlights:

🔹 Architected AI agents for document intelligence and process automation

🔹 Pioneered LangChain-based tools for enterprise data querying

🔹 Focus on ethical AI deployment and scalability in engineering applications

His technical fluency ensures businesses don’t just experiment with AI—they deploy it responsibly and effectively.

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🔴 Gregory E. Schwartz

AI Solutions Consultant
🔗 LinkedIn

With dual expertise in AI engineering and business strategy, Gregory E. Schwartz bridges the gap between data science and enterprise growth. His Cornell MBA and AI master’s background fuel his advisory work for engineering and finance firms adopting machine learning.

💡 Highlights:

🔹 Designs AI-first organizational strategies

🔹 Consults on AI governance and executive alignment

🔹 Thought leader in ethical AI and policy frameworks

Gregory’s holistic approach ensures that organizations integrate AI with clarity and compliance.

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🔴 Ginny Perkey

AI Education Consultant | Curriculum Developer | Data Science & Technical Content Expert
🔗 LinkedIn

Education and AI often intersect in the work of Ginny Perkey, a curriculum developer and consultant passionate about making data science accessible. She designs AI-driven learning modules that upskill engineers and data professionals.

💡 Highlights:

🔹 Developed STEM-aligned AI learning programs for institutions

🔹 Collaborates with educational technology startups

🔹 Advocate for inclusive AI education

Ginny ensures the next generation of engineers understands not just how to use AI—but how to use it ethically.

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🔴 Jason Yunger

Machine Learning and Analytics Consultant
🔗 LinkedIn

Jason Yunger’s independent consultancy focuses on helping small and medium-sized enterprises adopt machine learning efficiently. His approach blends technical consultancy with practical implementation, ensuring even lean engineering teams can deploy AI at scale.

💡 Highlights:

🔹 Specializes in data cleaning, model training, and ML workflow automation

🔹 Focused on cost-efficient AI adoption strategies

🔹 Helps businesses navigate the AI implementation lifecycle

Jason’s work bridges the gap between big data ambition and small-business pragmatism.

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🔴 Yaling Liu

Head of ML | Machine Learning Engineer | Cloud Solution Architect
🔗 LinkedIn

As a Head of Machine Learning and cloud architect, Yaling Liu has led teams to build resilient AI systems across healthcare, logistics, and engineering domains. Her approach prioritizes MLOps excellence and cross-functional leadership.

💡 Highlights:

🔹 Expert in cloud-native ML infrastructure

🔹 Led AI deployments across AWS, GCP, and Azure ecosystems

🔹 Advocate for women in AI leadership

Her technical and managerial hybrid skill set makes her a cornerstone of NYC’s AI leadership landscape.

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🔴 Vishwa Goudar

AI Strategy Consultant | Workflow Automation
🔗 LinkedIn

Vishwa Goudar is a workflow automation and enterprise AI strategist helping companies operationalize LLMs. His projects focus on production ML pipelines and LLM integration for enterprise automation.

💡 Highlights:

🔹 Specializes in AI systems for process improvement

🔹 Consultant for engineering firms adopting LLM-based solutions

🔹 Speaker on AI ethics and enterprise scalability

Vishwa’s insights enable organizations to move from experimentation to full production in AI.

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🔴 Tom Villani, PhD

VP AI and Machine Learning at New Jersey Innovation Institute
🔗 LinkedIn

Dr. Tom Villani brings the rigor of scientific research to AI innovation. As VP of AI/ML at the New Jersey Innovation Institute, he’s responsible for guiding large-scale AI transformations across industries, from healthcare to advanced manufacturing.

💡 Highlights:

🔹 Ph.D. in Medicinal Chemistry, applying scientific precision to AI modeling

🔹 Oversees AI/ML-driven innovation labs in NJ and NY

🔹 Champion for interdisciplinary collaboration between AI engineers and scientists

Dr. Villani embodies the fusion of academic excellence and industry execution.

How We Selected These Professionals

At Digital Reference, our methodology goes far beyond LinkedIn bios. We evaluate professionals through:

🔍 Deep-dive portfolio analysis and project evaluation

🧩 Peer and client recommendations

💬 Thought leadership assessment (articles, talks, publications)

⚙️ Relevance to engineering and enterprise AI applications

AI & ML in New York City: The Future Is Here

From Brooklyn’s co-working labs to New Jersey’s innovation campuses, New York City’s AI talent defines the frontier of modern engineering. These consultants are proof that human creativity and artificial intelligence can coexist beautifully—driving innovation that benefits industries and communities alike.

If your organization is ready to harness this power, Digital Reference is here to help. Our platform connects decision-makers with vetted consultants, researchers, and firms leading the AI transformation.

Explore more of our content and discover how to future-proof your business with the best minds in the field:

At Digital Reference, we’re building the go-to source for trusted consultant discovery, industry benchmarking, and digital transformation insights. Whether you’re searching for your next AI strategist, ML engineer, or tech visionary, our research-first methodology ensures you connect with the right talent—every time.

Together, we’re helping the New York City engineering and AI ecosystem reach new heights.