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Vetted spaCy Professionals
Pre-screened and vetted.
Mid-level Data Scientist specializing in NLP, deep learning, and big data analytics
Senior AI/ML Engineer specializing in Computer Vision, NLP, and Generative AI
Technology Executive specializing in AI-native engineering and cybersecurity governance
Senior Software Engineer specializing in Python, AI/ML, and AWS cloud-native systems
Senior Data Analytics & Applied ML Engineer specializing in LLMs, RAG, and MLOps
Mid-level AI/ML Engineer specializing in NLP, transformers, and RAG systems
Mid-level Python Backend Developer specializing in FinTech and ML-driven fraud detection
Sharath Nyalakonda
Mid-level AI/ML Engineer specializing in NLP, graph models, and MLOps for FinTech and Healthcare
“AI/ML engineer who has deployed production LLM/transformer-based systems for merchant intelligence and fraud/support optimization, delivering +27% merchant engagement and +18% payment success. Deep experience in privacy-preserving, PCI DSS-compliant data/ML pipelines (Airflow, AWS Glue, Spark, Delta Lake) and scalable microservices on Kubernetes, plus proven cross-functional delivery in healthcare claims analytics at UnitedHealth Group (12% HEDIS claim reduction).”
Sri Lekha Kandadai
Mid-level Machine Learning Engineer specializing in MLOps and multimodal AI
“ML/AI engineer focused on production-grade model reliability: built a monitoring and validation framework to detect drift, trigger anomaly alerts/retraining, and maintain consistent performance for device intelligence workflows at scale. Strong MLOps background with Python pipelines, Docker/Kubernetes deployments, Airflow orchestration, and real-time monitoring dashboards; experienced partnering with product managers to deliver business-facing insights.”
Meghashree N
Mid-level AI/ML Engineer specializing in recommender systems, NLP, and cloud ML
“AI/ML engineer who has shipped both a safety-critical mental health RAG chatbot (Mistral 7B + Pinecone) with automated faithfulness/toxicity monitoring and a deep Q-learning investment recommendation engine at Lincoln Financial Group. Strong in production MLOps and orchestration (AWS Lambda/CloudWatch/SageMaker, Docker, AKS) and in translating regulated-domain requirements (clinical reliability, fiduciary duty) into measurable model constraints and monitoring.”
Mid-level Full-Stack Python Engineer specializing in cloud-native payments and data pipelines
Mid-level AI & Machine Learning Engineer specializing in production ML and LLM applications
Senior Software Engineer specializing in Cloud, DevOps, and Infrastructure as Code
Senior Software Engineer specializing in Cloud DevOps & Platform Engineering
Mid-level Software Engineer specializing in MLOps, AI infrastructure, and distributed systems
Mid-level Full-Stack Software Engineer specializing in cloud-native web and real-time systems
Mid-level Machine Learning Engineer specializing in GenAI, LLM agents, and MLOps
Mid-level AI/ML Engineer specializing in NLP, Computer Vision, and Generative AI
Mid-level Full-Stack Developer specializing in AI-driven FinTech platforms