Hire RLHF Specialists
Parham Hamouni
Parham is a senior LLM engineer and PhD researcher with 6+ years of shipping production AI systems across manufacturing, legal, and finance. At Toronto Metropolitan University, his PhD applies DPO and RLHF to temporal graph reasoning, achieving 83% pairwise accuracy and outperforming baselines by 12–15pp. In production, Parham works with RAG pipelines, fine-tuned transformers (FinBERT, Qwen, LLaMA-2), and full MLOps stacks. At Kraft Heinz, his RAG system cut troubleshooting time by 30%.
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Erfan Miahi
Erfan trained in the RLAI Lab of Richard Sutton (Turing Award winner and a founding father of RL) and has collaborated with Google DeepMind. A reinforcement learning scientist and engineer with extensive experience, he owns LLM pre-training, post-training, and inference end-to-end. He co-authored Covenant-72B, history's largest decentralized LLM pre-training run, and created PULSE, now in Hugging Face TRL. His research has 260+ citations in venues such as EMNLP, AIJ, and TMLR.
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Raven Nicole Roberts
Raven is an ML engineer with three years of production experience building systems where the math actually has to work. She specializes in geometric deep learning, quantum ML, and physics-informed architectures, i.e., problems where off-the-shelf solutions don't fit and you need to build the right primitives from scratch. Comfortable across PyTorch, JAX, PennyLane, and embedded TinyML deployment, Raven also shipped ML systems for robotics and AI infra companies in Singapore and Vienna.
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Abdelkader Hannache
Abdelkader is a penetration tester with a background in software engineering. He specializes in penetration testing, threat modeling, risk analysis, and secure web application and API design. Skilled in OWASP, secure code review, and black-box, grey-box, and white-box testing, he bridges the gap between attacker and developer perspectives. Abdelkader also builds security scanners and aligns designs with ISO 27002 and COBIT to deliver end-to-end protection against evolving threats.
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Sergio Berrospi Vergara
Sergio is a senior data scientist with 6+ years of experience building end-to-end machine learning systems for business impact. He has delivered production recommender systems generating USD 27 million in incremental revenue, segmentation and propensity models lifting marketing ROI by 25%, and LLM-powered Text-to-SQL agents for complex data querying. He works across Python, SQL, Databricks, GCP, and TypeScript, and excels at translating analytical findings into measurable business outcomes.
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Amir Moghadam
Amir is an experienced AI/ML engineer with 10+ years of experience building production-grade AI and ML systems. He specializes in LLM-powered applications, RAG architectures, multi-agent workflows, and AI copilots across WhatsApp, web, and internal platforms using OpenAI, LangChain, and modern MLOps stacks. Amir has led high-impact initiatives in pricing, forecasting, and telemetry, delivering multi-million-dollar revenue and productivity gains through AI-native automation.
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Piotr Kuczynski
Piotr is a highly motivated, proactive, and ambitious software engineer with outstanding technical skills and over 20 years of experience. As an entrepreneurial professional and Agile evangelist, he has a strong personality and experience managing international and distributed teams. Piotr specializes in web development, performance optimization, and architecture design and is interested in usability and slick user interface designs.
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Evgeniy Salskiy
Evgeniy is a senior machine learning engineer with 12 years of experience shipping production-ready systems. At Yandex, he guided a team of 10 to develop a real-time content classification platform processing millions of events per day and integrated LLMs into production, reducing annotation costs by 97%. Previously, Evgeniy also built anti-fraud and credit scoring systems in fintech from scratch, handling real-time inference, feature engineering on financial streams, and model monitoring.
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Muhammad Abubakar
Muhammad is a full-stack developer with 6+ years of experience building high-performance web apps. He's strong in back-end systems, APIs, workflow automation, and AI integration, with hands-on experience using LLMs to solve real business problems. He's skilled in creating responsive, user-friendly solutions and collaborating across teams to deliver reliable products.
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Vikram Kaviya
Vikram is a senior data scientist and ML engineer with 8 years of experience leading end-to-end AI initiatives. He specializes in LLM alignment (DPO, GRPO), custom LLM orchestration, and extreme multi-class classification (100,000+ categories). Backed by a strong data engineering foundation, Vikram excels in inference efficiency, deploying optimized generative models and scalable search solutions using vLLM, Triton, and Elasticsearch.
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Leonardo dos Santos Pinheiro
Leonardo is a senior AI engineer with 10+ years of experience shipping production AI, including six years delivering engagements through Toptal. He specializes in LLM agents, retrieval-augmented generation (RAG), and LLM evaluation and LLMOps, working end-to-end from prototype to deployed services. At Microsoft, Leonardo built an LLM evaluation infrastructure. On recent Toptal engagements, he built RAG copilots and automated MLOps pipelines.
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