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Vetted Data Cleaning Professionals
Pre-screened and vetted.
Senior AI/ML Engineer specializing in Generative AI, LLMs, and data platforms
Mid-level Data Scientist / GenAI Engineer specializing in LLM agents, RAG, and OCR
Mid-level Data Analyst specializing in policy research and stakeholder-ready data storytelling
Intern Full-Stack/Backend Developer specializing in web APIs and data processing
Junior Software Engineer specializing in AI data pipelines and full-stack development
Senior Supply Chain & Procurement Professional specializing in sourcing, inventory, and analytics
Mid-Level Software Engineer specializing in backend, data engineering, and Healthcare IT
Junior Data & BI Analyst specializing in analytics engineering, NLP, and financial risk analytics
Junior Data Analyst specializing in reporting, automation, and business process improvement
Mid-level Software Engineer specializing in algorithms, ML systems, and data infrastructure
Junior Machine Learning Engineer specializing in scalable ML systems and LLMs
Intern Data Scientist and GenAI Software Engineering specializing in ML and LLM evaluation
Mid-level Business Analyst specializing in data analytics and supply chain reporting
Mid-level Data Analyst specializing in BI and healthcare insurance analytics
Mid-level Data Analyst specializing in business intelligence and customer analytics
Mid-level ML Engineer specializing in AI systems and LLM infrastructure
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.”
MohammadHossein Karimian
Mid-level Front-End Developer specializing in React and TypeScript
“Frontend engineer who has led end-to-end builds of complex React + TypeScript workflow editors (multi-step scenario builder with nodes/connections/conditions) with strong quality practices (CI/CD, unit tests, schema validation, logging, feature flags). Also delivered an AR flower-placement feature during an internship at Ecomspiders, rebuilding the experience with Three.js, live camera preview, and surface placement tested across devices and lighting conditions.”
Prasad Sadineni
Mid-level AI Engineer specializing in LLM fine-tuning, RAG, and agentic systems
“Building and deploying production in-house, domain-specific LLM chatbots for enterprises that cannot use third-party GPT tools due to internal policies. Focused on reducing latency and improving domain awareness using fine-tuning, continual learning, and advanced RAG/agent retrieval strategies, with experience orchestrating multi-agent workflows via LangChain/LlamaIndex and vector DBs (FAISS, Weaviate, Chroma).”
Yeruva Bala Shreya Reddy
Entry Data Analyst specializing in ETL pipelines and business intelligence
“Analytics candidate with hands-on experience building reliable healthcare reporting layers from messy transactional data using SQL and Python. Stands out for combining data transformation, KPI definition, validation rigor, and performance tuning to deliver reusable reporting assets that improve trust in operational metrics.”
Shehab mohamed mohamed
Junior AI Engineer specializing in MLOps, LLMs, and multi-agent systems
“ML/AI engineer focused on production-grade systems, with experience building a low-latency multi-agent 'neural concierge' booking platform used across domains like restaurants and hospitals. Also worked on a healthcare computer vision system for nystagmus/eye-movement analysis, showing a mix of scalable LLM infrastructure, MLOps, and safety-conscious medical AI experience.”
Vaibhavi Madhav Deshpande
Mid-level AI Engineer specializing in LLM agents, RAG, and data pipelines
“Built and productionized LLM-powered workflows that generate contextual insights from structured financial data, including prompt/retrieval design, data standardization, and reliability controls like rate limiting and batching. Also diagnosed and fixed real-time failures in an automated order validation system using logs/metrics, staging reproduction, edge-case handling, retries, and alerting, while supporting sales/customer teams with demos, scripts, and FAQs to drive adoption.”