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Vetted Apache Spark Professionals
Pre-screened and vetted.
Mid-Level AI/Full-Stack Engineer specializing in conversational AI and SaaS products
Mid-level Full-Stack/AI Engineer specializing in LLM microservices, RAG, and data pipelines
Mid-level Data Scientist specializing in GenAI, MLOps, and computer vision for robotics
Mid-level Software Engineer specializing in cloud microservices and AI search
Intern-level Business Analytics professional specializing in data science and BI
Software Engineer specializing in cloud-native backend systems and AI/ML
Mid-level Data Analyst specializing in BI, reporting automation, and operational analytics
Junior Machine Learning Engineer specializing in LLMs and multimodal AI
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
Senior Data Scientist / ML Engineer specializing in NLP, speech AI, and computer vision
Junior Full-Stack Software Engineer specializing in Python/React and AI-powered web apps
Junior Machine Learning Engineer specializing in Generative AI and LLM agents
Intern Full-Stack Developer specializing in React, Node.js, and TypeScript
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.”
Muhammad Murtaza Murtaza
Mid-level Machine Learning Engineer specializing in NLP, Computer Vision & Predictive Analytics
“Built a production LLM fine-tuning pipeline for domain-specific code generation at Pigeonbyte Technologies, including automated collection and rigorous quality filtering of 10M+ code samples (AST validation, sandbox execution/testing, deduplication, drift monitoring, and human-in-the-loop review). Also implemented end-to-end ML orchestration in Apache Airflow with data quality gates, dataset versioning in S3, benchmarking, and automated model promotion, and has a reliability-first approach to agent/workflow design.”
Akash Parekh
Mid-level Full-Stack Developer specializing in React, Node.js, and cloud deployment
“Frontend engineer with experience building enterprise ERP/CRM dashboards in React + TypeScript, including cron-driven data updates and differentiated state flows. Emphasizes CI/CD pipeline setup, performance optimization (Core Web Vitals, React Profiler), and disciplined delivery practices (risk-based QA, phased rollouts); also has Figma-to-responsive implementation experience.”