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Vetted Technical Documentation Professionals
Pre-screened and vetted.
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Intern Mechanical Engineer specializing in robotics, controls, and manufacturing
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level Cloud & Network Engineer specializing in AWS networking and customer success
Technology Executive specializing in AI-native engineering and cybersecurity governance
Mid-level Full-Stack Developer specializing in AI and FinTech platforms
Mid-level AI/ML Engineer specializing in multimodal and generative AI at scale
Mid-level AI/ML Engineer specializing in NLP, transformers, and RAG systems
Mid-level Full-Stack Engineer specializing in Python microservices and cloud automation
Senior Full-Stack Software Engineer specializing in scalable microservices and cloud platforms
Senior Front-End Engineer specializing in React and marketing automation
Mid-Level Full-Stack Python Engineer specializing in AI-powered web apps and cloud-native systems
Senior Salesforce SME specializing in Service/Sales Cloud, Experience Cloud, and DevOps
Aman Garg
Mid-Level Full-Stack Software Engineer specializing in Python and React/TypeScript
“Built and shipped a map-embedding SDK (published to npm) for Walmart apps, solving key performance issues with real-time streaming (WebSockets) and Canvas rendering while prioritizing developer experience. Also applies LLM/agentic patterns in production workflows—using diagnostic agents and human-in-the-loop escalation to detect and resolve issues (e.g., voice agent loops caused by RAG API failures). Has sales-engineering experience supporting enterprise renewals, including a million-dollar contract renewal while at Siemens working with Ford stakeholders.”
Nehal Mahankali
Mid-level Full-Stack Python Developer specializing in cloud-native banking applications
“Backend engineer who built a low-latency real-time transaction API in Python/Flask, with strong depth in PostgreSQL/SQLAlchemy performance tuning (time-based partitioning, indexing, connection pooling). Has production experience integrating ML scoring and OpenAI-style APIs with safety/latency controls, and designing multi-tenant isolation strategies including per-tenant pooling/caching and premium-tenant isolation.”
Sri Lekha Kandadai
Mid-level Machine Learning Engineer specializing in MLOps and multimodal AI
“ML/AI engineer focused on production-grade model reliability: built a monitoring and validation framework to detect drift, trigger anomaly alerts/retraining, and maintain consistent performance for device intelligence workflows at scale. Strong MLOps background with Python pipelines, Docker/Kubernetes deployments, Airflow orchestration, and real-time monitoring dashboards; experienced partnering with product managers to deliver business-facing insights.”
Mid-level Full-Stack Python Engineer specializing in cloud-native payments and data pipelines
Mid-level DevOps Engineer specializing in AWS cloud infrastructure and CI/CD
Director of Software Development specializing in embedded systems, SaaS, and cloud migration
Senior Full-Stack Software Engineer specializing in cloud-native platforms and Healthcare IT
Senior Software Engineer specializing in Cloud DevOps & Platform Engineering
Mid-Level Software Engineer specializing in distributed backend systems and event-driven architecture
Senior Full-Stack Engineer specializing in e-commerce and financial services
Senior Digital Analyst specializing in marketing analytics, personalization, and MarTech