.png){kind=logo}
Vetted LoRA Professionals
Pre-screened and vetted.
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
Junior Software Engineer specializing in full-stack cloud systems and robotics
Mid-level Generative AI Engineer specializing in LLMs, RAG, and NLP 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).”
Shehab mohamed mohamed
Junior AI Engineer specializing in MLOps, LLMs, and multi-agent systems
“ML/AI engineer focused on production-grade systems, with experience building a low-latency multi-agent 'neural concierge' booking platform used across domains like restaurants and hospitals. Also worked on a healthcare computer vision system for nystagmus/eye-movement analysis, showing a mix of scalable LLM infrastructure, MLOps, and safety-conscious medical AI experience.”
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.”
SaiDheerajReddy Gadikota
Mid-level AI Engineer specializing in agentic systems and enterprise LLM platforms
“Current AI engineer at a startup who has spent the last year architecting multi-agent systems for software development workflows. Stands out for combining LLM speed with engineering discipline—using tools like Pydantic, LangGraph, and LangChain to build reliable, production-ready agent workflows with validation, routing, and retry logic.”
Sai Vamsee Bandaru
Entry-level Data Analyst and AI Engineer specializing in machine learning and LLM systems
“Founding-engineer-oriented full-stack product engineer who built an AI tutor system end-to-end, spanning React UI, FastAPI backend, retrieval/LLM pipelines, and Postgres optimization. Stands out for combining product thinking with deep systems work: improving onboarding and activation, shipping quickly with beta users, and abstracting reusable retrieval infrastructure for multiple use cases.”
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).”
Junior AI/LLM Engineer specializing in voice agents, RAG, and robotics systems
Junior Machine Learning Engineer specializing in LLMs and multimodal AI
Senior Full-Stack Engineer specializing in AI, SaaS, and IoT platforms
Junior ML Engineer specializing in search, retrieval, and recommendation systems
Entry-level Machine Learning Engineer specializing in LLMs, RAG, and data pipelines