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Vetted Hugging Face Transformers Professionals
Pre-screened and vetted.
Mid-Level Full-Stack Software Engineer specializing in cloud microservices and Voice AI
Harshit Vashisth
Junior AI Engineer specializing in LLMs, RAG systems, and MLOps
“Robotics software engineer who built an end-to-end system ("justmatrix"), focusing on multi-agent orchestration and a multi-RAG retrieval backend/API. Has hands-on ROS experience, including a custom node for reliable high-frequency sensor data routing, plus deployment automation using Docker, Kubernetes, and CI/CD.”
Mahad Asif
Mid-level Game Developer specializing in Unity, AR/VR, and cross-platform products
“Exceptionally young game developer who says he began at age 10 and was employed as a Unity developer at 13. He has hands-on experience building gameplay systems, VR/Web/mobile projects, Photon multiplayer features, and AI/ML experiments—including an open-source protein-model research pipeline reportedly under peer review at PLOS ONE.”
Muhammad Murtaza Murtaza
Mid-level Machine Learning Engineer specializing in NLP, Computer Vision & Predictive Analytics
“Built a production LLM fine-tuning pipeline for domain-specific code generation at Pigeonbyte Technologies, including automated collection and rigorous quality filtering of 10M+ code samples (AST validation, sandbox execution/testing, deduplication, drift monitoring, and human-in-the-loop review). Also implemented end-to-end ML orchestration in Apache Airflow with data quality gates, dataset versioning in S3, benchmarking, and automated model promotion, and has a reliability-first approach to agent/workflow design.”
Junior Backend & ML Engineer specializing in Golang microservices and LLM/RAG systems
Senior Machine Learning Engineer specializing in NLP and production ML systems
Mid-level Research Assistant specializing in interpretable ML and AI evaluation
Senior AI Engineer specializing in LLMs, agentic systems, and ML infrastructure
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).”