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Vetted LoRA Professionals
Pre-screened and vetted.
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