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Vetted Deep Learning Professionals
Pre-screened and vetted.
Hari Shankar Raghuraman
Mid-level AI/ML Engineer specializing in scalable ML, NLP, and MLOps
“ML/AI engineer with strong production depth across classical ML, MLOps, LLM/RAG, and scalable Python data platforms, with experience at Cisco and Accenture. Stands out for tying technical decisions to measurable business outcomes, including $1.2M annual savings, 40% faster support resolution, and broad internal adoption of shared engineering frameworks.”
Saumya Pailwan
Junior Software Engineer specializing in applied AI and audio ML
“Engineer with unusually mature experience leading AI-assisted development, including orchestrating multiple coding agents across a data pipeline feature as if managing a small engineering team. Stands out for balancing aggressive adoption of AI tools with disciplined judgment around architecture, security, and merge quality, and for translating that experience into stronger tech leadership.”
Nate Fedida
Junior Software Engineer specializing in full-stack development and applied machine learning
“Revamped a university academic calendar system into a Python-based calendar generation service, turning a weeks-long manual scheduling workflow into software that generates dozens of valid calendar combinations in under a minute. Also contributed to an Amazon search ML classifier by introducing precision/recall evaluation to better surface critical failure modes and improve prediction quality.”
Jerry McElroy
Executive Enterprise Sales Leader specializing in AI and SaaS
“Founding/early-stage AE with deep MarTech and GTM SaaS experience who repeatedly builds structure where little exists—defining ICPs, creating outbound motions, implementing CRM/process rigor, and partnering with founders on positioning. Has closed six-figure enterprise wins such as Accenture and Northwestern Mutual, including an outbound-sourced Accenture deal closed in under 10 weeks.”
Mid-level AI/ML Engineer specializing in computer vision, NLP, forecasting, and GenAI
Senior Data Scientist specializing in GenAI, fraud/credit risk, and cloud MLOps
Intern AI Engineer specializing in LLM/RAG and full-stack product development
Mid-level AI/ML Engineer specializing in fraud detection and Generative AI
Mid-level Software Engineer specializing in Embedded Connectivity and AI/ML
Intern Software Engineer specializing in distributed systems and cloud infrastructure
Junior AI Engineer specializing in LLM systems, RAG pipelines, and cloud microservices
Principal AI/ML Engineer specializing in agentic AI and distributed systems
Mid-level Data Analyst specializing in analytics, machine learning, and financial services
Senior Data Scientist specializing in Generative AI, LLMs, and insurance analytics
Mid-level AI/ML Engineer specializing in MLOps, NLP/LLMs, and computer vision
Senior Data Scientist and Generative AI Engineer specializing in LLMs, RAG, and MLOps
Senior Research Scientist specializing in LLM safety, robustness, and out-of-distribution detection
Junior Robotics Engineer specializing in autonomous navigation and perception
Mid-level Algorithm Scientist specializing in machine learning and scientific computing
Mid-level Machine Learning Engineer specializing in MLOps, NLP, and financial risk analytics
Mid-level AI/ML Engineer specializing in fraud detection, risk modeling, and real-time ML systems
Intern Machine Learning & Software Engineer specializing in LLM delivery and data platforms
Director of DevOps & Information Security specializing in cloud platforms and compliance
Intern Software Engineer specializing in ML, data engineering, and FinTech