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Vetted LoRA Professionals
Pre-screened and vetted.
Senior AI Engineer specializing in LLM, RAG, and production GenAI systems
Junior AI Engineer specializing in agentic LLM and RAG systems
Mid-level Machine Learning Engineer specializing in NLP, Computer Vision, and LLMs
Mid-level AI/ML Engineer specializing in computer vision and generative AI
Senior GenAI Engineer specializing in agentic AI and multi-agent orchestration
Junior AI/ML Engineer specializing in LLMs, RAG systems, and MLOps
Senior AI/ML Engineer specializing in Generative AI, RAG, and multimodal LLM systems
Mid-level AI/ML Engineer specializing in LLMs, RAG, and production inference platforms
Mid-level Data Scientist / GenAI Engineer specializing in LLM agents, RAG, and OCR
Junior Software Engineer specializing in cloud-native backend and LLM applications
Senior Software Engineer specializing in AI/ML and cloud backend systems
Junior AI/ML Engineer specializing in LLM applications, RAG, and multimodal computer vision
Mid-Level Software Engineer specializing in AI/ML, cloud deployment, and full-stack systems
Mid-level AI Engineer specializing in agentic LLM workflows and RAG systems
Prasad Sadineni
Mid-level AI Engineer specializing in LLM fine-tuning, RAG, and agentic systems
“Building and deploying production in-house, domain-specific LLM chatbots for enterprises that cannot use third-party GPT tools due to internal policies. Focused on reducing latency and improving domain awareness using fine-tuning, continual learning, and advanced RAG/agent retrieval strategies, with experience orchestrating multi-agent workflows via LangChain/LlamaIndex and vector DBs (FAISS, Weaviate, Chroma).”
Bhargav Kommineni
Intern Full-Stack/ML Engineer specializing in cloud-native web apps and LLM systems
“Machine learning lab assistant at Eastern Illinois University who productionized a voice-enabled conversational AI system: redesigned it with RAG, LoRA fine-tuning (including text-to-SQL), and safety guardrails, then deployed a scalable API supporting ~1,000 daily queries. Also partnered with customer-facing teams during a BlueFi internship by building demos/APIs and accelerating releases via Terraform + AWS CI/CD automation.”
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).”