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Vetted seaborn Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in NLP, LLMs, and MLOps
Mid-Level Software Engineer specializing in full-stack, data engineering, and ML
Senior Data Scientist specializing in ML, fraud risk, and Generative AI (RAG/LLMs)
Mid-level AI/ML Engineer specializing in GenAI, computer vision, and real-time ML pipelines
Junior Data Analyst specializing in automation, BI dashboards, and applied machine learning
Mid-level Data Engineer specializing in cloud lakehouse and streaming platforms
Mid-level AI/ML Engineer specializing in Generative AI agents and enterprise analytics
Mid-level Data Engineer specializing in Azure data platforms and near real-time pipelines
Mid-level Data Analyst specializing in analytics, BI, and data engineering
Intern data and technology analyst specializing in analytics and IT systems
Senior Machine Learning Engineer specializing in AI, NLP, computer vision, and GenAI
Junior Full-Stack Engineer specializing in AI agents, RAG, and distributed systems
Mid-level AI/ML Engineer specializing in Generative AI and fraud detection
Mid-level Data Scientist / ML Engineer specializing in LLMs and predictive analytics
Senior Data Scientist specializing in healthcare analytics and scalable ML pipelines
Mounika Nadendla
Senior Data Engineer specializing in cloud data platforms and real-time streaming
“Data engineer focused on building reliable, production-grade data systems end-to-end: batch and real-time pipelines (Airflow/Kafka/Spark) with strong data quality, monitoring/alerting, and incident response. Has experience integrating external API/web data with retries, throttling, and schema-change handling, and serving curated datasets to analytics (Power BI) and backend consumers with performance optimizations like Redis caching.”
Senior Machine Learning Engineer specializing in MLOps and Generative AI
Mid-level Data Scientist specializing in financial ML, NLP, and MLOps
Jayeetra Bhattacharjee
Mid-level AI/ML Engineer specializing in LLMs, NLP, and analytics automation
“AI/ML Engineer (TCS) who built and deployed a production LLM-powered audit transaction validation service to reduce manual review of unstructured transaction records and comments. Implemented a LangChain/Python pipeline for extraction/normalization and discrepancy detection, with strong production reliability practices (decision logging, dashboards, labeled eval sets) and a human-in-the-loop auditor feedback loop to improve precision/recall under strict data-sensitivity and near-real-time constraints.”
Soham Patel
Mid-level Machine Learning Engineer specializing in healthcare NLP and MLOps
“ML/AI practitioner in healthcare (Syneos Health) who has deployed production clinical NLP and risk models. Built a BERT-based physician-note information extraction system on Docker + AWS SageMaker (reported ~42% retrieval improvement) and automated retraining/deployment with Airflow and drift detection, while partnering closely with clinicians to drive adoption (reported ~18% readmission reduction).”