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Vetted LoRA Professionals
Pre-screened and vetted.
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.”
Sadir Ahmed Zidan
Junior AI/ML Engineer specializing in LLMs, RAG, and computer vision
“AI engineer with hands-on experience shipping production systems across semantic search, RAG/LLM applications, and computer vision. Built a personalized e-commerce search platform with measurable relevance and latency gains, and deployed grounded GenAI chat systems that significantly reduced hallucinations while lowering support burden. Also brings edge-deployment experience in monocular depth estimation and 3D reconstruction, suggesting strong breadth across modern applied AI.”
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
Mid-level Machine Learning Engineer specializing in Generative AI and healthcare NLP
Entry-Level Software Engineer specializing in backend services and applied ML
Maulik Maganbhai Ghatala
Entry Backend Software Engineer specializing in Python/FastAPI and cloud-native APIs
“Backend engineer who built and evolved a low-latency document search platform (C++/gRPC on Kubernetes with a vector database), emphasizing resilience under concurrent load through strict deadlines, retries, idempotency, and observability. Also experienced building secure, frontend-friendly FastAPI services (Pydantic + JWT) and executing safe incremental refactors using feature flags and parallel validation.”
Junior Machine Learning Engineer specializing in Agentic RAG and Document AI