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Vetted Data Ingestion Professionals
Pre-screened and vetted.
Mid-Level Full-Stack/Product Engineer specializing in B2B SaaS and AI search
Senior Software Engineer specializing in Unity, multiplayer systems, and AR/VR
Junior Software Engineer specializing in distributed systems, cloud infrastructure, and robotics
Intern Robotics Software Engineer specializing in ROS2 infrastructure and distributed systems
Intern Full-Stack/Backend Developer specializing in web APIs and data processing
Junior Software Engineer specializing in AI data pipelines and full-stack development
Mid-Level Software Engineer specializing in backend, data engineering, and Healthcare IT
Director-level Applied ML Engineer specializing in GenAI, LLM systems, and MLOps
Junior Software Engineer specializing in backend AI systems
Senior Software Developer specializing in LLM prompt engineering and RAG systems
Mid-Level ML/AI Engineer specializing in LLMs, RAG, and multi-agent systems
Senior Data Engineer specializing in Machine Learning and Healthcare Data Platforms
Senior Full-Stack Developer specializing in MERN, cloud platforms, and LLM-powered applications
Junior Software Engineer specializing in ML inference infrastructure
Junior Full-Stack Software Engineer specializing in backend, cloud, and AI systems
Mid-level ML Engineer specializing in AI systems and LLM infrastructure
CharanTeja Kurakula
Entry-Level AI Engineer specializing in NLP and LLM-powered applications
“AI engineer who built an agentic, production-deployed LLM workflow for tobacco violation parsing and automated multi-case creation, using six specialized agents and a human-in-the-loop confidence-threshold routing design. Addressed data privacy constraints by generating synthetic datasets with LLM prompting, and orchestrated reproducible end-to-end pipelines in LangChain with robust testing and evaluation (precision/recall, micro-F1).”
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.”
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.”
Chinmoy Das
Mid-Level Full-Stack Software Engineer specializing in AI agents and cloud platforms
“Backend/data engineer focused on climate/emissions data platforms, building production Python (FastAPI) microservices and AWS serverless/ETL pipelines (Glue/Athena/Lambda/EventBridge). Demonstrated strong reliability and observability practices plus measurable optimization wins, including cutting PostgreSQL query runtimes from minutes to seconds and reducing AWS costs from ~$6k/month to ~$400/month.”