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Vetted Predictive Modeling Professionals
Pre-screened and vetted.
Asim Raja
Mid-level Game Developer specializing in Unity/Unreal, AR/VR, and multiplayer systems
“Unity VR developer who has shipped Meta Quest titles while owning full end-to-end delivery: gameplay, UI, database/backend, blockchain, web integrations, IAP, and final build publishing. Notably solved a Meta SDK IAP callback regression by identifying the issue with Meta support and safely rolling back specific SDK code, and has implemented motion/walking tracker systems with ML-driven opponent behavior.”
eman akram
Junior Full-Stack Developer specializing in AI/ML and mobile/web apps
“Built an end-to-end car maintenance application from design through deployment using TypeScript/React with a Node.js + Firebase backend, including OBD integration. Uses mock servers and a layered frontend architecture (UI/state/services separation) to iterate quickly on UX without being blocked by backend or hardware dependencies.”
Mid-level Data Scientist specializing in GenAI, MLOps, and computer vision for robotics
Mid-Level Full-Stack Software Engineer specializing in cloud-native systems
Entry-Level Data Scientist specializing in machine learning, NLP, and cloud analytics
Mid-level AI/ML Engineer specializing in LLM agents, RAG pipelines, and AI automation
Mid-level Data Scientist specializing in ML, NLP, and Generative AI
Mid-level Generative AI Engineer specializing in LLMs, RAG, and MLOps
Senior Performance & Growth Marketing Leader specializing in paid media, automation, and analytics
Senior Data Scientist / ML Engineer specializing in NLP, speech AI, and computer vision
Mid-level Generative AI & ML Engineer specializing in LLMs, RAG, and MLOps
Iaroslav Kuznetsov
Mid-level Machine Learning Engineer specializing in AdTech and scalable data systems
“Built and scaled an internal AI code-search/assistant agent that expanded from engineering-only to broader internal users, tackling legacy code and inconsistent standards to make a RAG pipeline production-ready. Uses a metrics-driven approach (user feedback + automated Python evaluation for retrieval relevance and latency) and has handled high-pressure outages, including moving parts of the stack off AWS and adopting Milvus on internal infrastructure for resilience.”
namratha sai
Junior Healthcare Data Analyst specializing in clinical data validation and EHR/claims analytics
“QA/supplier-performance focused candidate who uses defect and delivery data to spot recurring issues early, identify root causes tied to rushed timelines/high workload, and implement practical process changes (e.g., added validation steps and tightened defect definitions). Emphasizes clear, metric-backed communication to align internal stakeholders and suppliers, then monitors post-change results to confirm sustained improvement.”
Hitha Sunkara
Junior Full-Stack Developer specializing in web apps and machine learning
“Built and organized SQL databases for a grocery pricing update backend and has hands-on experience designing FastAPI/Python APIs with security controls like authentication, RBAC, and strict validation. Also brings research experience identifying real-world failure modes (weather-driven sensor/model inaccuracies in MSE wall corrosion work) and adapting models to improve robustness, plus UI design support on an email-restricted campus hackathon enrollment flow.”
Aldrin Azucena
Mid-level Full-Stack Software Developer specializing in web apps, CI/CD, and cloud infrastructure
“Frontend engineer (~4 years) who led an admin dashboard for potato farmers end-to-end, integrating real-time and historical weather data to drive disease-severity predictions. Built scientifically validated calculation pipelines (FAO Penman-Monteith, late blight models), rigorous Cypress/unit testing, and print/PDF-ready reporting, while optimizing performance and API load with debouncing, caching, and feature-flagged rollouts.”
Mid-level AI Engineer specializing in LLMs, RAG, and enterprise compliance & fraud systems
Mid-level Machine Learning Engineer specializing in Generative AI and healthcare NLP
Junior Data Scientist/Data Analyst specializing in machine learning and business intelligence
Minh Huynh
Junior AI/ML Engineer specializing in LLM systems and personalization
“Backend engineer who built and scaled AmazonProAI, a multi-tenant SaaS platform for Amazon sellers, using a modular Django/DRF monolith with strict seller-level isolation and security controls. Led a controlled SQLite-to-PostgreSQL migration and hardened bulk Excel ingestion with idempotency and data integrity constraints to prevent duplicate metrics and noisy alerts while keeping the system ready for future service extraction.”
Entry AI Engineer specializing in machine learning, computer vision, and data mining
Entry Data Scientist specializing in applied mathematics and predictive modeling