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Vetted Classification Professionals
Pre-screened and vetted.
Junior AI/ML Engineer specializing in LLMs, RAG, and applied NLP
Entry-Level Data Scientist specializing in machine learning, NLP, and cloud analytics
Mid-level AI/ML Engineer specializing in LLM agents, RAG pipelines, and AI automation
Junior Machine Learning Engineer specializing in LLMs and multimodal AI
Entry-level Machine Learning Engineer specializing in LLMs, RAG, and data pipelines
Mid-level Full-Stack AI Engineer specializing in web and generative AI solutions
Junior Software Engineer specializing in data analytics and machine learning
Md Rifat Ullah
Mid-level AI/ML Engineer specializing in NLP, GenAI, and conversational AI
“Built and deployed a production bilingual (Bengali/English) AI virtual assistant that replaced IVR for telecom customer service at massive scale (~15M users), integrating ASR/TTS, Rasa dialogue management, and custom NLP. Overcame low-resource Bengali data and noisy call-center audio with synthetic data augmentation and transformer fine-tuning, achieving significant production gains including ~50% reduction in support calls.”
Sirisha Gadde
Intern Data Analyst specializing in analytics and machine learning
“FAU-based analytics candidate with hands-on academic project experience across SQL data preparation, Python/NLP sentiment analysis, and predictive modeling. They stand out for turning messy datasets into clean reporting tables, building reproducible analysis workflows, and translating findings into practical recommendations around operations, credit risk, and marketing ROI.”
Junior Full-Stack & Machine Learning Engineer specializing in observability tools
Senior Machine Learning Engineer specializing in NLP and production ML systems
Mid-level R&D Engineer specializing in applied AI, experimentation, and cloud-integrated prototypes
Mid-level Full-Stack AI Engineer specializing in RAG systems and intelligent automation
Intern Data Science and Web Development student specializing in machine learning
Mid-level Data Analyst specializing in BI dashboards, cloud data platforms, and ML analytics
Sinem Çelik
Intern Robotics/Computer Vision Engineer specializing in deep learning and synthetic data
“Robotics software learner building a self-directed recycling robot project in Isaac Sim, integrating ROS2 + Nav2 + SLAM with camera/LiDAR sensing and CV-based object detection. Has prior hands-on ROS2 work creating a YOLO detection node visualized in RViz and has built/optimized simulated line-follower and maze-solver robots in Webots, documenting progress publicly on GitHub and LinkedIn.”
Junior Computer Vision Engineer specializing in generative AI and autonomous perception
Akshay Amudhan
Entry Machine Learning Engineer specializing in quantitative finance and DeFi
“Built and deployed a production RAG chatbot using a vector database + LangChain-orchestrated pipeline, focusing on grounded, context-aware responses. Demonstrates practical trade-off thinking (retrieval quality vs latency/cost), hallucination control, and iterative improvement through logging, manual review, and stakeholder feedback loops.”