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Vetted PySpark Professionals
Pre-screened and vetted.
Entry-Level Machine Learning Researcher specializing in HPC telemetry modeling
Intern Full-Stack & AI Engineer specializing in ML-driven mobile and data platforms
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP/RAG
Mid-level Software Engineer specializing in Generative AI and cloud-native microservices
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and RAG systems
Mid-Level Full-Stack Software Engineer specializing in web apps and AI-powered tools
Mid-level Data Engineer specializing in cloud-native batch and streaming pipelines
Junior Software/AI Engineer specializing in LLM agents and RAG systems
kireeti Sangarsh
Mid-level Data Engineer specializing in cloud ELT pipelines and analytics engineering
“Data engineer who has owned end-to-end ELT pipelines on Airflow + AWS (S3/Glue/Lambda) with Snowflake/Redshift, processing millions of records per day and tens of GBs via PySpark. Built strong data quality and reliability practices (40% quality improvement, 99%+ uptime), and also designed a resilient web-scraping system with anti-bot defenses and schema-change versioning plus REST APIs for serving curated data.”
Sarang Pratham
Junior Software Engineer specializing in data engineering and GenAI
“Built and deployed a production LLM-powered recruitment chatbot that automates key recruiting steps (sourcing, candidate engagement, screening). Strong in agent orchestration with LangGraph, including guided graph-based workflows, context-aware routing, and reliability measures like clarifying steps plus human-in-the-loop evaluation.”
Aditya Reddy Gunda
Intern AI/ML & Data Engineer specializing in deep learning, NLP, and cloud data pipelines
“AI/ML practitioner with production experience building a RAG-powered contextual customer support agent, optimizing for low latency using vector databases and smaller LLMs. Also deployed a fraud detection model on Kubernetes with auto-scaling for heavy transactional loads, and improved chatbot accuracy by 15% through metric-driven testing and evaluation. Partners with Marketing on personalization/recommendation initiatives with measurable outcomes tied to customer feedback.”
Entry-level Data Analyst specializing in cloud analytics and machine learning
Senior Machine Learning Engineer specializing in NLP and production ML systems
Mid-level Python Developer specializing in cloud-native APIs and microservices
Senior AI/ML Engineer specializing in NLP, LLMs, speech, and computer vision
Senior AI/ML Engineer specializing in NLP, LLMs, speech, and computer vision
Junior Software Engineer specializing in AI/ML, data pipelines, and real-time dashboards
Senior AI/ML Engineer specializing in NLP, LLMs, speech, and computer vision
Mid-level Machine Learning Engineer specializing in Generative AI and healthcare NLP