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Vetted Hugging Face Transformers Professionals
Pre-screened and vetted.
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.”
Tejaswi devarapalli
Junior Software Engineer specializing in backend systems and AI infrastructure
“Built both a full-stack AWS file-processing pipeline and a production AI document Q&A system ('smart-doc'). Stands out for combining strong cloud engineering with practical LLM/RAG architecture, including hybrid retrieval, reranking, structured outputs, confidence-based retries, and production monitoring.”
Mounika Allu
Junior Full-Stack Engineer specializing in web applications and AI-assisted workflows
“Frontend-focused candidate with hands-on experience building a technically demanding AI-assisted survey/copilot interface at VSorts.ai while working as a research assistant at ODU. They show strong practical judgment around React architecture, TypeScript safety, and performance tuning, including diagnosing context-driven re-render issues and improving UX in real-time interactive applications.”
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
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).”
Entry-level Product Manager and AI/ML Engineer specializing in agentic AI