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Vetted Vector Databases Professionals
Pre-screened and vetted.
Mid-Level Full-Stack Engineer specializing in AI/ML and cloud-native web apps
Mid-level Software Engineer specializing in distributed systems and cloud microservices
Mid-level Machine Learning Engineer specializing in MLOps and Generative AI
Mid-Level Software Engineer specializing in ML and healthcare data systems
Senior Full-Stack Engineer specializing in AI-native SaaS and cloud infrastructure
Senior DevOps & Cloud Engineer specializing in Kubernetes, multi-cloud, and LLMOps
Mid-level AI Software Engineer specializing in LLMs, NLP, and MLOps for healthcare
Senior Unity & Full-Stack Engineer specializing in VR/XR and multiplayer systems
Staff Full-Stack Engineer specializing in AI agents and cloud platforms
Entry-level Software Engineer specializing in backend systems and AI platforms
Dale Durham
Principal Software Engineer specializing in SaaS architecture and cloud platforms
“Veteran B2B SaaS engineer/technical leader with 13+ years in production systems across medical, legal, and academic conference markets. Stands out for combining hands-on full-stack and microservices architecture work with measurable business impact, including leading an early startup internationalization effort that more than doubled revenue in under a year and modernizing a declining conference platform into the market leader in its niche.”
Sree Gautham Alluri
Mid-level Robotics & AI Developer specializing in autonomous navigation and LLM-powered robotic systems
“Robotics Support Engineer at HAI Robotics supporting a 385-robot warehouse fleet at a Shein client site. Built a production automation and reporting workflow to diagnose and resolve abnormal shelf locations, cutting incidents from ~250/day to ~25/day while providing actionable root-cause data to client/ops/maintenance. Hands-on ROS 2 (Humble) debugging across Nav2/localization/TF and sensor integration issues including QoS and firmware coordination.”
Sridhar Duggireddy
Executive Technology Leader specializing in Cloud Platforms, DevOps, and AI/ML
“Early-stage startup CTO helping build an AI-powered parenting assistant app with features spanning advice, shopping, task management, and inventory management. The team is currently testing an MVP with their network while the candidate simultaneously learns the seed/Series fundraising process through Connectd and early investor conversations.”
Drashti Magia
Junior AI Engineer specializing in LLMs, multimodal ML, and applied machine learning
“Software engineer with a disciplined, production-minded approach to AI-driven development: uses ChatGPT, Claude, GitHub Copilot, and scoped coding agents to accelerate delivery without giving up architectural judgment. Notably applied a multi-agent workflow on ClinicOps Copilot, using agents for planning, Bedrock/RAG scaffolding, and failure testing while personally owning architecture, grounding quality, and end-to-end review.”
Adithya Gururaj
Junior AI Engineer specializing in agentic AI, RAG, and voice/telephony systems
“LLM/agent engineer who has built production multi-agent systems (LangChain/LangGraph) for enterprise workflows like email and calendar automation, with a strong focus on latency, tool-calling accuracy, and evaluation via LangSmith. Also worked on AI long-term memory using knowledge graphs at VEAI and communicated the approach and tradeoffs to CEO/CTO stakeholders.”
Yashwanth Penugonda
Mid-level AI/ML Engineer specializing in LLMs, RAG, and production GenAI systems
“Built and deployed a production LLM-powered RAG knowledge system to unify operational/policy information across PDFs, wikis, and databases, emphasizing auditability and low-latency/cost performance. Improved answer relevance at scale by moving from pure vector search to hybrid retrieval with metadata filtering and reranking, and partnered closely with healthcare operations/compliance to define acceptance criteria and human-in-the-loop guardrails.”