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Vetted seaborn Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in NLP, RAG, and agentic AI
Mid-level AI/ML Data Engineer specializing in analytics, ML pipelines, and LLM applications
Mid-level AI Data Scientist specializing in financial risk, fraud detection, and NLP/LLM systems
Mid-level Data Scientist specializing in marketing analytics and scalable data platforms
Senior Data Scientist specializing in Generative AI, NLP, and MLOps
Syed Daim Ali
Intern Software Engineer specializing in FinTech and AI platforms
“Systems-focused engineer who built an OS kernel with multithreading, priority scheduling, system calls, and synchronization primitives, and debugged race conditions end-to-end. While not yet hands-on with ROS/SLAM, they clearly connect low-level concurrency and scheduling decisions to deterministic, reliable robotics-style real-time workloads.”
Priyanshu Maurya
Mid-level Data Scientist specializing in insurance, finance, and healthcare analytics
“Built and productionized LLM-driven sentiment scoring for earnings call transcripts at Goldman Sachs, replacing legacy NLP to deliver a cleaner trading signal while managing latency/cost via batching, caching, and distilled models. Also implemented an Airflow-orchestrated fraud modeling pipeline at MetLife with drift-based retraining and SageMaker deployment, and has a disciplined evaluation/rollout framework for reliable AI workflows.”
Yash Vishe
Junior Software Engineer specializing in LLM systems, data engineering, and ML
“Backend/ML systems engineer with experience at SDSC, UCSD, and Media.net, building production semantic dataset/model discovery using embeddings + Solr KNN and LLM-based intent/reranking at 5M+ dataset scale. Emphasizes offline/online separation for predictable serving, has delivered measurable gains (23% retrieval accuracy, 38% latency reduction) and helped secure a $3M+ NSF grant.”
Sayuj Shah
Mid-level Data Analyst & AI Practitioner specializing in ML, LLMs, and analytics platforms
“Data Analyst at U.S. Cellular who built production LLM solutions, including a Tableau-embedded chatbot that converts natural language questions into Oracle SQL and returns actionable KPI insights for non-technical users. Also authored MAD-CTI, a multi-agent LLM system for dark web hacker forum threat intelligence (published in IEEE Access) that outperformed single-agent approaches by 14%.”
Mid-level Data Scientist specializing in machine learning, analytics, and cloud data pipelines
Mid-level AI/ML Engineer specializing in NLP, Generative AI, and fraud detection
Mid-level Backend/Platform Engineer specializing in distributed systems and data platforms
Senior Software Engineer specializing in backend microservices and AI/ML integrations
Mid-level Machine Learning & Generative AI Engineer specializing in enterprise RAG and MLOps
Junior Machine Learning Engineer specializing in generative modeling and computer vision
Mid-level AI/ML Engineer specializing in Generative AI and RAG systems
Intern AI/ML Engineer specializing in data science, NLP, and reinforcement learning
Mid-level Full-Stack Software Engineer specializing in cloud-native data platforms
Mid-level Full-Stack Developer specializing in AWS, Python/FastAPI, and React
Mid-level Machine Learning Engineer specializing in NLP, recommender systems, and MLOps
Mid-level Software Engineer specializing in cloud-native microservices and ML-driven automation
Junior Marketing Analyst specializing in growth and performance analytics