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Vetted PySpark Professionals
Pre-screened and vetted.
Mid-level Data Engineer specializing in cloud data pipelines and analytics platforms
Mid-level Data Scientist specializing in customer analytics, ML pipelines, and churn forecasting
Mid-level Software Engineer specializing in full-stack cloud and embedded systems
Mid-Level Software Engineer specializing in FinTech trading and portfolio platforms
Mid-level AI/ML Engineer specializing in recommender systems, NLP, and MLOps
Mid-level AI Engineer specializing in LLM agents, RAG, and enterprise GenAI
Mid-level AI/ML Data Engineer specializing in analytics, ML pipelines, and LLM applications
Junior Business Intelligence Engineer specializing in experimentation and causal inference
Mid-Level Software Engineer specializing in cloud-native distributed systems
Mid-level AI/ML Engineer specializing in MLOps, distributed ML, and RAG pipelines
Mid-level Data Scientist specializing in marketing analytics and scalable data platforms
Senior Machine Learning Engineer specializing in NLP, Generative AI, and healthcare/legal AI
VP Data Engineer specializing in AI-driven analytics platforms for investment management
Senior Data Engineer specializing in cloud data platforms and real-time pipelines
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
Mid-level Data Engineer specializing in cloud lakehouse and streaming pipelines
Abhishikth Meesala
Mid-level AI/ML Engineer specializing in NLP, Generative AI, and fraud detection
“At PwC, built and productionized an agentic RAG enterprise search assistant over 6M internal documents (8M embeddings), deployed across AWS and GCP. Drove major retrieval gains (72%→92% precision via BM25+dense hybrid with RRF and cross-encoder re-ranking), reduced hallucinations 30%, achieved <2s latency at 50–60K queries/month, and cut support tickets 30%—boosting adoption to 2,500 users by adding source-cited answers.”