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Vetted Hugging Face Transformers Professionals
Pre-screened and vetted.
Junior AI/ML Engineer specializing in LLMs, RAG, and applied NLP
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP/RAG
Junior Software Engineer specializing in computer vision and LLM-powered systems
Mid-level Software Systems Engineer specializing in cloud infrastructure and AI applications
Mid-level Software Engineer specializing in Generative AI and cloud-native microservices
Senior Data Scientist / ML Engineer specializing in NLP, speech AI, and computer vision
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.”
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
Mid-level Research Assistant specializing in interpretable ML and AI evaluation
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).”