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Vetted Cybersecurity Professionals
Pre-screened and vetted.
Mid-Level Software Engineer specializing in data pipelines and defense analytics
Director-level Operations Leader transitioning to Cybersecurity Analysis
Junior Software Developer specializing in backend and performance optimization
Entry-Level Software/Cybersecurity Professional specializing in security tools and systems
IT Executive and MSP CEO specializing in IT operations, cloud infrastructure, and cybersecurity
Executive IT Leader specializing in cloud, cybersecurity, and digital transformation
Junior Machine Learning Engineer specializing in Computer Vision, NLP, and Reinforcement Learning
Junior Computer Engineering student specializing in full-stack and embedded/robotics systems
Mid-Level Software Engineer specializing in Python backend and API automation
Mid-Level Full-Stack Software Engineer specializing in cloud platforms and security
Junior Software Engineer specializing in full-stack, systems, and AI development
Senior Sales Professional specializing in inside sales, cold calling, and B2B/B2C growth
Executive CIO specializing in enterprise IT transformation and cloud modernization
Intern AI/ML Engineer specializing in NLP, graph analytics, and agentic RAG systems
Senior Full-Stack Engineer specializing in Python, cloud-native SaaS, and data pipelines
Executive Technology Entrepreneur specializing in FinTech, Healthcare IT, and Cybersecurity
Dhairya Shah
Entry-level Machine Learning Engineer specializing in computer vision and systems
“ML-focused builder who has shipped an end-to-end income-class prediction product: built the data pipeline, trained models, deployed via Streamlit with a live UI, and tracked success via accuracy (84%), adoption, and latency. Demonstrates strong practical MLOps instincts (Docker/Streamlit Cloud, logging/monitoring, caching) and data engineering reliability patterns (schema checks, idempotency, retries, backfills) while iterating quickly in ambiguous, solo-project environments.”
Vinayak Jain
Junior AI Platform Engineer specializing in ML and cybersecurity
“Cybersecurity-focused candidate whose master’s thesis performed an empirical, systematic study of memory and disk forensics behavior across Windows and Linux under Trojan and ransomware conditions. Has experience optimizing and debugging large, real-time data-processing pipelines (e.g., memory dumps/logs) and using Docker for forensic analysis workflows; no robotics/ROS experience to date.”
Sai Prakash Sasubilli
Mid-level Full-Stack Software Engineer specializing in cloud-native web apps and AI agents
“Full-stack system analyst/programmer at PeakPlay Sports (startup) who built an AI "coach" product end-to-end in ~2 months, using a LangGraph-orchestrated multi-agent architecture with a FastAPI backend. Shipped production RAG grounded in athlete history (OpenAI embeddings + vector store) with guardrails and a structured eval loop (golden set + LLM-judge + human review) to improve engagement and reduce hallucinations.”