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Vetted Vector Search Professionals
Pre-screened and vetted.
Karthikeya Arra
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and MLOps
“Backend/ML engineering candidate focused on fintech automation who architected a zero-to-one agentic/LLM-enabled system to reconcile messy financial documents and bank transactions, reporting ~40% operational efficiency gains. Experienced migrating monoliths to event-driven microservices with incremental rollout via reverse proxy, and implementing production-grade security (OAuth2/JWT, RBAC, Supabase RLS) plus resilience patterns (timeouts/retries under concurrency).”
eman akram
Junior Full-Stack Developer specializing in AI/ML and mobile/web apps
“Built an end-to-end car maintenance application from design through deployment using TypeScript/React with a Node.js + Firebase backend, including OBD integration. Uses mock servers and a layered frontend architecture (UI/state/services separation) to iterate quickly on UX without being blocked by backend or hardware dependencies.”
Krishna Vishesh Katta
Junior AI Software Engineer specializing in full-stack LLM applications
“Early-stage product engineer who built an AI persona chat system end to end at Super Intro, spanning Next.js frontend, GraphQL/real-time backend, retrieval memory, and LLM-based matching. They combine strong TypeScript rigor with practical AI systems design, and cite measurable impact including ~40% engagement growth, ~30% recall improvement, and lower LLM costs in production.”
Mid-Level Full-Stack Software Engineer specializing in LLM-integrated web applications
Mid-level Full-Stack/AI Engineer specializing in LLM microservices, RAG, and data pipelines
Mid-Level Software Engineer specializing in cloud platforms, search/LLM systems, and payments
Junior Full-Stack Software Engineer specializing in web applications and cloud deployment
Junior Backend Software Engineer specializing in APIs, databases, and AI applications
Mid-level AI/ML Engineer specializing in LLM agents, RAG pipelines, and AI automation
Senior Full-Stack Engineer specializing in AI, SaaS, and IoT platforms
Junior Generative AI Engineer specializing in LLM systems and RAG
Mid-level Java Full-Stack Developer specializing in cloud microservices and AI/ML integration
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and RAG systems
Mid-level Full-Stack AI Engineer specializing in agentic AI and RAG systems
Mid-level Applied AI Engineer specializing in LLM systems for EdTech and FinTech
Mid-level Generative AI & ML Engineer specializing in LLMs, RAG, and MLOps
Entry Software Engineer specializing in Generative AI and full-stack development
Executive Founder-CTO specializing in AI agents and distributed systems
Md Rifat Ullah
Mid-level AI/ML Engineer specializing in NLP, GenAI, and conversational AI
“Built and deployed a production bilingual (Bengali/English) AI virtual assistant that replaced IVR for telecom customer service at massive scale (~15M users), integrating ASR/TTS, Rasa dialogue management, and custom NLP. Overcame low-resource Bengali data and noisy call-center audio with synthetic data augmentation and transformer fine-tuning, achieving significant production gains including ~50% reduction in support calls.”
Shyamalan Kannan
Entry-level Software Engineer specializing in backend, AI systems, and full-stack development
“Solo builder of two technically ambitious products: Ghosted, a full-stack job search platform for international candidates navigating H-1B sponsorship data, and ContextForge, a Claude Code marketplace plugin that gives coding agents persistent memory and targeted codebase retrieval. Particularly strong in AI agent infrastructure, retrieval reliability, and end-to-end product ownership, with a fast release cadence and a habit of turning real failure modes into shipped improvements.”