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Vetted LoRA Professionals
Pre-screened and vetted.
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 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).”
Mid-Level Full-Stack Software Engineer specializing in AI, FinTech, and E-commerce platforms
Junior AI/LLM Engineer specializing in voice agents, RAG, and robotics systems
Junior ML Engineer specializing in search, retrieval, and recommendation systems
Entry-level Machine Learning Engineer specializing in LLMs, RAG, and data pipelines
Mid-level Generative AI Engineer specializing in LLMs, RAG, and MLOps
Junior Generative AI Engineer specializing in LLM systems and RAG
Junior Machine Learning Engineer specializing in Generative AI and LLM agents
Junior Full-Stack Developer specializing in AI integrations and LLM research
Mid-level Generative AI & ML Engineer specializing in LLMs, RAG, and MLOps
Vansh Batra
Entry-Level Robotics & Embedded Systems Engineer specializing in ROS 2 navigation
“Controls and Navigation Engineer at Krishiboot Technologies building an AgriTech robot, owning crop-lane path planning, outdoor GNSS navigation, ML model integration for weeds/crops, and multi-sensor localization (encoders + dual IMUs + GNSS via EKF) validated through Gazebo simulation and field trials. Also delivered a ROS2-based food-serving robot with LiDAR SLAM, visual SLAM obstacle avoidance, and Nav2 SMAC/A* motion planning tuned for dynamic restaurant deployments.”
Junior Machine Learning Engineer specializing in LLMs, RAG, and fine-tuning
Mid-level Research Assistant specializing in interpretable ML and AI evaluation
Mid-level AI Engineer specializing in LLMs, RAG, and enterprise compliance & fraud systems