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Vetted Data Modeling Professionals
Pre-screened and vetted.
Mid-level Data Analyst specializing in BI, reporting automation, and operational analytics
Mid-level Software Engineer specializing in full-stack web and AI applications
Mid-level Data Scientist specializing in ML, NLP, and Generative AI
Mid-level Full-Stack Software Engineer specializing in AI, data pipelines, and cloud-native apps
Senior Full-Stack Engineer specializing in AI, SaaS, and IoT platforms
Mid-level Full-Stack Engineer specializing in scalable web applications and AI features
Entry-Level Machine Learning Researcher specializing in HPC telemetry modeling
Intern Full-Stack & AI Engineer specializing in ML-driven mobile and data platforms
Mid-level Software Engineer specializing in full-stack web and cloud systems
Mid-level Full-Stack Engineer specializing in backend systems and AI integration
Intern Full-Stack Software Engineer specializing in AI and microservices
Senior Performance & Growth Marketing Leader specializing in paid media, automation, and analytics
Mid-level Data Engineer specializing in cloud-native batch and streaming pipelines
Abbas Raza
Mid-level React Native Developer specializing in cross-platform mobile apps
“Frontend engineer focused on complex, data-heavy dashboards, with notable ownership of the Hogar 360 real-estate platform used daily by business teams. Strong in React/TypeScript architecture, browser-level performance tuning, and polishing expert-user workflows for responsive, scalable web applications.”
Lalith Kambala
Junior Full-Stack Engineer specializing in AI-powered web applications
“Full-stack product engineer who has shipped AI-powered job board moderation and validation features end to end across React/TypeScript, serverless backends, and Postgres. Stands out for combining UX polish, LLM-backed workflow design, and reusable async infrastructure patterns to improve reliability, speed of delivery, and user participation.”
Mahaboob Johny
Mid-level Data Analyst specializing in SQL/Python analytics, ETL pipelines, and BI dashboards
“Data/AI practitioner who built a production LLM-driven healthcare claims analytics and dashboarding system to reduce avoidable ER visits—processing 1.4M+ claims, flagging 19% as non-emergent, and projecting ~$2.8M in annual savings. Demonstrates strong real-world LLM reliability and performance engineering (grounding, numeric validation, caching, materialized views, quantization) plus orchestration experience with Airflow and Azure Data Factory.”
Mid-Level Software Engineer specializing in Java/Spring microservices and cloud
Megha John Babu
Junior Full-Stack Software Engineer specializing in scalable backend systems
“Built and shipped an AI-powered journaling app feature that analyzes user text for emotions in real time, owning everything from React/TypeScript UX (dynamic theming + Framer Motion) to a FastAPI backend integrating Hugging Face. Has hands-on production experience deploying Dockerized services on AWS (EC2/RDS/S3/CloudWatch) with GitHub Actions CI/CD, and resolved a real latency/scaling incident by converting blocking external API calls to async with retries/timeouts.”