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Vetted Machine Learning Professionals
Pre-screened and vetted.
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
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.”
Galvin Mendonca
Entry-level Full-Stack Engineer specializing in AI, web, and mobile development
“Front-end/product engineer who fully owned and built the Rouge Dashboard, an internal enterprise SaaS platform consolidating 11 AI-powered tools for five business units at Rouge International. Particularly strong in browser-based UI architecture for AI and CRM-heavy workflows, with proven adoption from 25 of 27 non-technical stakeholders and zero role-based access breaches.”
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).”
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.”
Sudarshan Naicker
Entry-Level Software Engineering Student specializing in Full-Stack Web Development and ML
“Frontend-focused builder with multiple end-to-end academic product builds (event manager, niche social media app, airline booking site, AI-based obituary generator). Experienced in React/Next.js with an emphasis on scalable component architecture, pragmatic state management/performance, and strong collaboration with design via Figma; has shipped complex user flows like real-time chat, booking/seat selection, auth, and media upload under tight timelines.”
Junaid Ahmed Syed
Intern Front-End Software Engineer specializing in React web applications
“Frontend-focused candidate with internship experience at Tetris Corporation building complex browser-based interfaces for government and public safety users. Stands out for improving performance and usability in data-heavy applications through API optimization, pagination, reusable React components, and browser-level rendering analysis.”
“Built a production LLM-powered interview-prep app that ingests job postings and generates tailored preparation plans. Iterated from a single generalist LLM to a multi-LLM pipeline and used RAG to ground the final chat assistant on locally stored intermediate outputs; has also experimented with n8n vs Python-coded pipelines for orchestration.”
Eric Vo
Entry-Level Full-Stack Developer specializing in web applications
“Early-career frontend developer who has built an interactive medieval battle game board in React and JavaScript with real-time state synchronization across a 10x10 grid. Shows strong architectural instincts by separating game logic from UI and has also solved responsive UX issues in a farmer marketplace capstone by redesigning dense desktop-first layouts for mobile readability.”