Pre-screened and vetted.
Junior Data & BI Analyst specializing in analytics engineering, NLP, and financial risk analytics
Mid-level sales professional specializing in outbound prospecting and real estate
Mid-level AI Engineer specializing in LLM safety, red teaming, and evaluation
Intern AI/ML Engineer specializing in NLP, graph analytics, and agentic RAG systems
Junior AI/ML Engineer specializing in LLM applications, RAG, and multimodal computer vision
Mid-level Data Analyst specializing in BI and healthcare insurance analytics
Entry Data Analyst specializing in ETL pipelines and business intelligence
“Analytics candidate with hands-on experience building reliable healthcare reporting layers from messy transactional data using SQL and Python. Stands out for combining data transformation, KPI definition, validation rigor, and performance tuning to deliver reusable reporting assets that improve trust in operational metrics.”
Mid-level Data Analyst specializing in dashboards, automation, and IT support analytics
“Built and productionized an LLM-powered service desk ticket triage and reporting agent that classifies, prioritizes (including sentiment/urgency), and summarizes tickets into structured SQL outputs feeding Power BI dashboards. Emphasizes production reliability (99% uptime) with retries, schema validation, confidence thresholds, human review queues, and rule-based fallbacks, delivering 85–90% reduction in manual effort and 25–30% faster resolution times.”
Junior AI Platform Engineer specializing in ML and cybersecurity
“Cybersecurity-focused candidate whose master’s thesis performed an empirical, systematic study of memory and disk forensics behavior across Windows and Linux under Trojan and ransomware conditions. Has experience optimizing and debugging large, real-time data-processing pipelines (e.g., memory dumps/logs) and using Docker for forensic analysis workflows; no robotics/ROS experience to date.”
Mid-level Data Scientist specializing in Python, ML, and BI dashboards
“Data/NLP practitioner who builds production-oriented pipelines for unstructured text: entity extraction, topic modeling (LDA/BERTopic), and semantic search using Sentence-BERT embeddings with FAISS. Emphasizes rigorous evaluation (coherence/silhouette + manual review), entity resolution with validation, and scalable workflow orchestration using Airflow/Prefect with Spark/Dask.”
Mid-level Machine Learning Engineer specializing in real-time AI and data platforms
“ML/NLP engineer who has built production systems end-to-end: a real-time recommendation platform (100k+ profiles) using BERTopic-style clustering and a RAG-based news summarization/recommendation stack with ChromaDB. Strong focus on scaling and reliability (GPU batching, Redis caching, Kafka ingestion, Docker/Kubernetes, Prometheus/Grafana) and on maintaining model quality over time via drift monitoring and retraining triggers.”
Junior Software Engineer specializing in backend and cloud systems
“Full-stack engineer with hands-on experience spanning analytics products and fintech infrastructure. Built a YouTube Data Aggregator end-to-end in 2025 with ingestion, dashboards, and predictive modeling, and also shipped Stripe webhook/payment systems at FinPay supporting $5M+ in transactions with 99.9% uptime.”
Entry-level Data Scientist and Software Engineer specializing in AI and data pipelines
Mid-level Machine Learning Engineer specializing in NLP and LLM evaluation
Junior Data Analyst & Business Analyst specializing in BI, analytics, and process optimization
Mid-level Mechanical & Mechatronics Engineer specializing in robotics hardware and integration
Mid-level Data Scientist specializing in computer vision and behavioral analytics
Intern-level Business Analytics professional specializing in data science and BI
Entry-Level Data Scientist specializing in machine learning, NLP, and cloud analytics
Entry-level Machine Learning Engineer specializing in LLMs, RAG, and data pipelines
Mid-level AI & Data Science professional specializing in MLOps, deep learning, and UAV research
Mid-level Data Analyst specializing in SQL/Python analytics, ETL pipelines, and BI dashboards
“Data/AI practitioner who built a production LLM-driven healthcare claims analytics and dashboarding system to reduce avoidable ER visits—processing 1.4M+ claims, flagging 19% as non-emergent, and projecting ~$2.8M in annual savings. Demonstrates strong real-world LLM reliability and performance engineering (grounding, numeric validation, caching, materialized views, quantization) plus orchestration experience with Airflow and Azure Data Factory.”