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Vetted Data Modeling Professionals
Pre-screened and vetted.
Senior Full-Stack Developer specializing in .NET, cloud microservices, and modern SPAs
Junior Full-Stack Engineer specializing in Python backends and AI search systems
Staff Software Engineer specializing in Python APIs and AWS-native data platforms
Junior Full-Stack Software Engineer specializing in web, mobile, and AI-enabled collaboration tools
Mid-level Software Engineer specializing in Java microservices and cloud-native systems
Senior Full-Stack Python Engineer specializing in SaaS, cloud, and microservices
Mid-level AI & Data Engineer specializing in RAG and analytics platforms
Mid-Level Full-Stack Software Developer specializing in Java/Spring and JavaScript
Mid-level Full-Stack Java Developer specializing in FinTech web applications
Junior Data Scientist specializing in cybersecurity and AI/ML
Mid-level AI Engineer specializing in LLMs, RAG, and enterprise analytics
Senior Full-Stack Software Engineer specializing in AI, cloud platforms, and payments
Mid-Level Software Developer specializing in backend systems and data engineering
Mid-level Business Analyst specializing in financial systems and reconciliation
Mid-level Data Analyst / Business Analyst specializing in healthcare and operations analytics
Mid-level SQL Developer specializing in MySQL, ETL, and cloud data pipelines
Ruthvika Mamidyala
Mid-level Data Scientist specializing in GenAI, RAG, and predictive modeling
“Backend engineer who built and evolved Python/FastAPI services (including AWS-deployed ML prediction APIs) for real-time profitability and risk insights at TenXengage. Emphasizes pragmatic architecture, strong validation/observability, and secure access controls (RBAC + row-level filtering), and has led safe migrations via parallel runs and incremental rollouts; reports ~20% forecasting accuracy improvement.”
Pranava Reddy Kothapally
Junior Data Engineer specializing in Azure, CRM data pipelines, and marketing personalization
“LLM/AI engineer who has deployed production RAG conversational analytics and Text-to-SQL systems over Snowflake and curated data marts, emphasizing enterprise-grade guardrails for accuracy, security, and cost. Notable for a structured approach to reducing hallucinations (curated metric/table registry, SQL validation, RBAC, and citation-backed responses) and for building resilient, observable multi-step agent workflows using LangChain/LlamaIndex and Airflow.”
Snigdha Reddy Podduturi
Junior Data & AI Engineer specializing in cloud AI and analytics
“Built production AI backend systems in healthcare and e-commerce, including a healthcare agent that automated clinical workflows like medication refills, immunizations, and scheduling using FHIR APIs and cloud-native infrastructure. Strong in end-to-end backend ownership, LLM orchestration, and adding guardrails/validation for high-stakes and customer-facing AI workflows.”