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Vetted Apache Hadoop Professionals
Pre-screened and vetted.
Principal DevOps Engineer specializing in multi-cloud SRE and healthcare compliance
Senior Software Engineer specializing in AI platforms and cloud-native systems
Senior AI Engineer specializing in Generative AI and cloud-native ML platforms
Mid-level Data Scientist / AI/ML Engineer specializing in MLOps, geospatial analytics, and GenAI
Mid-level AI & Data Engineer specializing in cloud ML, RAG systems, and ETL automation
Mid-level Data Scientist specializing in deep learning, NLP, and time-series forecasting
Mid-level Data Analyst specializing in BI, analytics, and data engineering
Mid-level Full-Stack Software Engineer specializing in web, cloud, and enterprise applications
Director-level Applied ML Engineer specializing in GenAI, LLM systems, and MLOps
Junior Full-Stack Engineer specializing in AI-powered web platforms
Junior Full-Stack Software Developer specializing in backend APIs and cloud-native systems
Junior Software Engineer specializing in cloud-native backend and LLM applications
Senior Data Engineer specializing in Machine Learning and Healthcare Data Platforms
Anupriya Palanisamy
Mid-Level Software Engineer specializing in Java microservices and event-driven systems
“Backend-focused engineer with experience spanning research and healthcare: owned a Python/SQL data pipeline that transformed vulnerability-fix code data from SQLite into model-ready JSON for LLM analysis. Also deployed Dockerized Spring Boot microservices to Kubernetes with Jenkins CI/CD and built Kafka-based real-time event streaming (appointment/report events) with idempotent consumers to avoid duplicate processing.”
David Pang
Intern Full-Stack Software Engineer specializing in web apps and healthcare APIs
“Full-stack developer who built an end-to-end e-commerce application with admin/blog/announcement features using Node/Express and AWS S3, emphasizing security via expiring presigned URLs. Also has strong distributed-systems fundamentals from implementing the Raft consensus algorithm (replication logs, majority acks, leader elections) and has created build automation tools (GNU Makefiles/scripts) to streamline team workflows.”
Harikrishna Kadari
Mid-level Data Engineer specializing in cloud ETL and big data pipelines
“Data engineer focused on building reliable, production-grade pipelines and data services end-to-end, including a 50+ GB/day pipeline ingesting from APIs/files into Snowflake with PySpark/SQL transformations. Emphasizes strong data quality controls, monitoring/retries, and performance optimization, and has also shipped a Python data API with caching and backward-compatible versioning.”
Utkarsh Vijayvergia
Entry-level Software Engineer specializing in full-stack, cloud, and AI systems
“Builder with hands-on experience shipping full-stack products across AWS cloud infrastructure, React/TypeScript apps, SQL-backed systems, and privacy-focused AI workflows. Stands out for combining cost-aware architecture, strong debugging instincts, and product thinking—from an e-commerce platform automated with IaC to a university admin portal serving 10,000+ users and a locally run AI assistant with configurable guardrails.”