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Vetted Neural Networks Professionals
Pre-screened and vetted.
Mid-level Data Scientist specializing in geospatial computer vision and ML
Senior Software Engineer specializing in AWS, Python/Java backends, and NLP/AI for AdTech & FinTech
Mid-level Full-Stack Developer specializing in Java Spring Boot microservices and React
Mid-level AI Backend Engineer specializing in LLM applications and scalable ML services
Principal Software Engineer specializing in enterprise AI/ML and multi-cloud architecture
Mid-level AI Backend Engineer specializing in LLM applications and scalable ML services
Junior Robotics Software Engineer specializing in computer vision and ROS
Junior Multimodal AI & Systems Engineer specializing in robotics and cloud infrastructure
Mid-Level Software Engineer specializing in cloud-native distributed systems
Mid-level AI Backend Engineer specializing in LLM applications and scalable ML systems
Zia Karim
Executive AI and technology leader specializing in regulated enterprise and FinTech
“Founder with 10+ years in the startup ecosystem who is actively building an early-stage company and raising capital through partners in Singapore, Dubai, and LatAm. Deeply familiar with VC and accelerator models but intentionally pursuing a partner-led, B2B enterprise route to accelerate revenue, preserve control, and leverage direct customer and distribution access.”
Harinee Mohanakrishnan
Junior AI/ML & Cloud Software Engineer specializing in LLM applications
“AI engineer (2+ years; pursuing an online MS at UIUC) who has shipped an AI-powered voice screening platform end-to-end on GCP with strong production monitoring and measurable hiring-process impact (80% reduction in unqualified pass-through; ~50+ hours saved per role). Also built and deployed an AWS-based context-aware hybrid search system using OpenSearch as a vector store, and has hands-on experience with multi-agent LLM orchestration (ReAct) and structured-output guardrails.”
Manish Mallikarjuna Devatha
Principal Applied Scientist specializing in ML systems and Generative AI
“Built and owned an end-to-end agentic RAG chatbot platform for Baptist Health that helped clinicians access policy and clinical documents faster, reducing manual lookup by 80% and delivering about $2M in annual savings. Brings strong healthcare GenAI production experience, including HIPAA-aligned governance, PHI redaction, observability, evaluation, and scalable Python/Kubernetes deployment practices.”
Syed Daim Ali
Intern Software Engineer specializing in FinTech and AI platforms
“Systems-focused engineer who built an OS kernel with multithreading, priority scheduling, system calls, and synchronization primitives, and debugged race conditions end-to-end. While not yet hands-on with ROS/SLAM, they clearly connect low-level concurrency and scheduling decisions to deterministic, reliable robotics-style real-time workloads.”
Junior Machine Learning Engineer specializing in generative modeling and computer vision