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Vetted SciPy Professionals
Pre-screened and vetted.
Senior AI Engineer specializing in Generative AI and cloud-native ML platforms
Mid-level Machine Learning Engineer specializing in multimodal GenAI and RAG systems
Junior Software Engineer specializing in full-stack development and edge AI
Mid-level Data Scientist specializing in deep learning, NLP, and time-series forecasting
Mid-level Generative AI/ML Engineer specializing in LLMs, RAG, and MLOps
Mid-level Robotics & AI Engineer specializing in SLAM, computer vision, and generative AI
Junior Software Engineer specializing in full-stack, systems, and AI development
Mid-level Machine Learning & Robotics Engineer specializing in autonomous UAVs and biomedical ML
Junior Machine Learning Engineer specializing in scalable ML systems and LLMs
Mid-level AI/ML Engineer specializing in risk modeling, healthcare analytics, and MLOps
Intern Full-Stack Software Engineer specializing in cloud, microservices, and ML/NLP
Tirth Shah
Mid-level AI/ML Engineer specializing in anomaly detection, data tooling, and cloud-native systems
“Backend/platform engineer who built an LLM-driven QA automation system (“mockmouse”) using a Flask orchestration microservice, Socket.IO real-time updates, Redis caching, and strict Pydantic schemas to turn prompts into reliable action graphs and automated browser tests. Has hands-on Kubernetes delivery experience (Docker/Helm/Jenkins) and has supported large migration programs, validating ETL cutovers with 1M+ synthetic records and rigorous output comparisons; also built event-driven monitoring/anomaly detection streaming into Grafana.”
Mid-level Full-Stack Engineer specializing in healthcare, mobile apps, and AI
Junior Software Engineer specializing in Python microservices and full-stack web development
Intern Full-Stack & AI Engineer specializing in ML-driven mobile and data platforms
Mid-level Database Developer specializing in SQL, ETL, and cloud data platforms
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.”
Abdelmonaim Serrhini
Senior Full-Stack Engineer specializing in Spring Boot, React, and Next.js
“Full-stack engineer and Scrum Master who led a major monolith-to-microservices migration, including a micro-frontend Angular architecture using Native Federation and staged integration into the legacy app. Also built a React + TypeScript “Business Risk” product featuring a metadata-driven dynamic dashboard/forms layer backed by Spring Boot + GraphQL, with strong QA practices (unit/integration/E2E via Cypress), CI/CD, and feature toggles.”