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Vetted Machine Learning Professionals
Pre-screened and vetted.
Intern Data Science and Web Development student specializing in machine learning
Director-level Technical Leader specializing in healthcare IT, e-commerce automation, and crypto data platforms
Junior Software Engineer specializing in AI/ML, data pipelines, and real-time dashboards
Mid-level Full-Stack & AI Engineer specializing in web, ML, and Web3 platforms
Mid-level Full-Stack Developer specializing in Python, React, and cloud-native microservices
Mid-level Software Engineer specializing in AI agent workflows
Junior Full-Stack Software Engineer specializing in web apps, data visualization, and ML tooling
Mid-level Data Analyst specializing in BI dashboards, cloud data platforms, and ML analytics
Senior AI Engineer specializing in LLMs, agentic systems, and ML infrastructure
Junior Software Engineer specializing in full-stack and mobile development
Ramis Hasanli
Intern Cybersecurity Engineer specializing in AI agents and production workflows
“Built and deployed an AI customer representative for iCore used at the IEE convention (2025), serving 100+ users in a day; implemented RAG with a vector database and scaled reliability via Docker and Google Cloud. Also has hands-on experience with multiple agent orchestration stacks (LangChain/LangGraph, Google AI Agent Development Kit, OpenAI SDK, Composio) and has delivered stakeholder-driven apps using prototyping and MVP scoping.”
AungKaung Khant
Junior Software Engineer specializing in full-stack web and IoT development
“Computer Science student and indie hacker who builds open-source products in public, including a Chrome extension called "Add to ChatGPT" that reached 30+ installs in its first week. Has hands-on experience with full-stack social platform development and AI-integrated side projects, with a strong pattern of self-teaching, rapid shipping, and iterative bug fixing.”
Saif Sarhan
Entry Python Backend Engineer specializing in AI automation and scalable APIs
“Built a solo full-stack equipment manager app for the game Dragon's Dogma, scraping a wiki with Beautiful Soup, transforming data to JSON, modeling armor/weapon schemas, and integrating everything into a PostgreSQL-backed API with caching. Dockerized and deployed the application to the web.”
Emmanuel Agbator
Entry-Level Electrical & Computer Engineering graduate specializing in ML and computer vision
“Hands-on LLM/agentic workflow practitioner who focuses on moving prototypes into production by improving data quality, preprocessing, and validation, and by testing against real user inputs. Experienced troubleshooting LLM issues in real time during live tests and supporting adoption through developer demos and sales-partnered technical explanations that address customer reliability concerns.”
Junior Full-Stack Developer specializing in React, Node.js, and SQL
Mid-level Data Analyst specializing in aerospace materials testing and QA reporting
Junior Data Scientist/Data Analyst specializing in machine learning and business intelligence
Junior Data Annotator and Computer Science graduate specializing in AI data labeling
Junior QA/QC and Data Analyst specializing in data quality and Microsoft Azure
Manas Kumar Sherla
Junior Machine Learning Engineer specializing in NLP and LLM-based clinical AI
“Built a production automated resume matching system using Python, FAISS vector search, and Selenium-based job scraping, including mitigation for IP blocking and heterogeneous site structures. Also develops LLM/RAG applications with LangChain, using Pydantic-guardrailed structured outputs and LLM-as-a-judge evaluation (including a project focused on tone/semantics for a 3D avatar’s emotional responses).”