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Vetted Data Pipelines Professionals
Pre-screened and vetted.
Mid-Level Software Development Engineer specializing in AWS cloud, data pipelines, and MLOps
Mid-level Program & Operations Analyst specializing in compliance, data, and program delivery
Mid-level Full-Stack Developer specializing in cloud-native microservices and commerce platforms
Mid-level AI/ML Engineer specializing in GenAI, LLMs, and RAG pipelines
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level Data Scientist specializing in NLP, deep learning, and big data analytics
Senior Data Scientist specializing in Generative AI/NLP for legal and healthcare domains
Mid-Level Software Engineer specializing in FinTech, treasury systems, and real-time data pipelines
Mid-level Full-Stack Python Developer specializing in cloud-native microservices
Mid-level Full-Stack Developer specializing in AI and FinTech platforms
Mid-level Data Engineer specializing in ML, LLM pipelines, and analytics platforms
Mid-level AI/ML Data Engineer specializing in data pipelines, MLOps, and LLM/RAG systems
Mid-level AI/ML Engineer specializing in NLP, transformers, and RAG systems
Junior Robotics Engineer specializing in ROS2 autonomy and embedded systems
Executive Technology Leader specializing in Cloud, AI/IoT, and Cybersecurity
Mid-Level Full-Stack Python Engineer specializing in AI-powered web apps and cloud-native systems
Junior AI/ML Engineer specializing in agentic AI and cloud optimization
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.”