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Vetted Convolutional Neural Network (CNN) Professionals
Pre-screened and vetted.
Mid-level Data Scientist specializing in NLP, deep learning, and Generative AI
Intern Software Engineer specializing in AI/ML and cloud data pipelines
Junior Data Scientist specializing in NLP, OCR, and recommendation systems
Mid-level Machine Learning Engineer specializing in LLM/VLM inference and RAG systems
Mid-level Data Scientist / ML Engineer specializing in risk, fraud, NLP and recommender systems
Senior Data Scientist specializing in GenAI, MLOps, and cloud data platforms
Mid-level Machine Learning Engineer specializing in NLP, time-series forecasting, and edge AI
Mid-level Data Scientist / AI/ML Engineer specializing in financial services and GenAI
Mid-Level Software Engineer specializing in algorithmic generation and AI systems
Mid-level Machine Learning Engineer specializing in forecasting, NLP, and MLOps
Mid-level Data Scientist specializing in ML, NLP, and scalable data pipelines
Mid-level Data Scientist specializing in ML, MLOps, and applied risk modeling
Mid-level Machine Learning Engineer specializing in MLOps and LLM/RAG systems
Mid-level Data Scientist specializing in ML, NLP, and forecasting across finance and retail
Junior Data & AI Analyst specializing in BI, LLM applications, and analytics
Senior AI/ML Engineer specializing in MLOps and Generative AI (LLMs/RAG)
Senior Data Strategy & AI Product Consultant specializing in analytics platforms and privacy-safe measurement
Ashutosh Khatavkar
Mid-level SDET/Software Engineer specializing in test automation and CI/CD
“AAA game QA professional from Ubisoft (For Honor) with deep live-service multiplayer experience. Known for owning network/competitive integrity risks and building a custom network simulation tool to reliably reproduce desync issues, accelerating debugging and saving 100+ hours. Strong end-to-end QA process skills spanning test planning, triage, regression, and release verification using JIRA/TestRail.”
Sai Manikanta Kasireddy
Mid-level Machine Learning Engineer specializing in cloud-native GenAI and RAG systems
“Built and productionized an internal GenAI chatbot that makes company policy/SOP knowledge instantly searchable, using a secure RAG architecture on AWS (Bedrock/Titan embeddings/OpenSearch Serverless, Textract/Lambda/S3 ingestion, Claude 3 Sonnet). Demonstrates strong MLOps/orchestration experience (Airflow, Step Functions with Lambda/Glue/SageMaker) and a rigorous reliability approach (RAGAS metrics, A/B testing, citation validation, monitoring), including collaboration with compliance stakeholders via review dashboards.”