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Vetted Machine Learning Engineers
Pre-screened and vetted.
Vishnu Varma
Senior AI/ML Engineer specializing in LLMs, GenAI, and MLOps
“AI/ML engineer (Cognizant) who built a production, real-time credit card fraud detection platform combining deep-learning anomaly detection with an LLM-based explanation layer. Strong focus on regulated deployment: addressed class imbalance and feature drift, and added guardrails (SHAP/structured inputs, fine-tuning on analyst reports, rule-based validation) to keep explanations accurate and compliant. Orchestrated the full pipeline with Airflow + Databricks/Spark and used MLflow/Prometheus plus A/B and shadow deployments for measurable reliability.”
Keerthana Tammina
Mid-level Data Scientist specializing in machine learning and generative AI
“ML/LLM engineer who has shipped a production transformer-based document understanding system on AWS, owning the full pipeline from domain fine-tuning to Dockerized CI/CD deployment. Demonstrates strong production rigor—latency optimization (distillation/quantization, async batching, autoscaling), orchestration with Airflow/Step Functions/Azure Data Factory, and monitoring/drift detection—plus experience translating ops stakeholder needs into adopted AI automation via dashboards.”
Akhilesh Padala
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and Computer Vision
“ML/AI engineer with strong end-to-end production ownership across predictive ML and Generative AI use cases. They built a churn prediction platform that cut churn 12% and preserved about $1.2M in annual revenue, and also shipped a RAG-based support assistant that reduced ticket resolution time 30% while improving agent satisfaction and onboarding speed.”
“ML/AI engineer with strong end-to-end production ownership across classical ML and GenAI systems. Built and deployed predictive analytics and RAG-based internal tools on AWS/Kubernetes with measurable impact on accuracy, latency, deployment speed, safety, and user productivity.”
Mid-Level Software Engineer specializing in ML platforms and full-stack systems
Mid-level AI/ML Engineer specializing in NLP/LLMs and real-time data pipelines
Mid-level AI Engineer specializing in Ambient AI and full-stack applications
Mid-level Machine Learning Engineer specializing in computer vision and LLM systems
Mid-level AI/ML Engineer specializing in financial risk, fraud detection, and GenAI
Senior ML Engineer / Bioinformatics Scientist specializing in GenAI and multi-omics
Mid-level AI/ML Engineer specializing in real-time fraud detection and healthcare computer vision
Junior Machine Learning Engineer specializing in benchmarking, NLP, and computer vision
Mid-level AI/ML Engineer specializing in recommender systems, MLOps, and Generative AI
Mid-level AI/ML Engineer specializing in LLMs and document intelligence
Mid-level AI/ML Engineer specializing in financial crime detection and retail analytics
Mid-level AI/ML Engineer specializing in LLM agentic systems and MLOps
Entry AI/ML Engineer specializing in computer vision, LLM agents, and edge deployment