Hire Freelance Gensim Developers and Engineers
Radu Nedelcu
Radu has been writing code since the age of 14. He has since built a career in data science and worked on projects in computer vision, text analysis, and financial data algorithms. His engineering background paired with his algorithm expertise enables him to work on the full pipeline from idea generation to proof of concept, development of the product to bringing it to production. He's excited about his next challenge and can't wait to get started.
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Enes Zvornicanin
Enes is a data scientist with over four years of experience, including three years working remotely with US-based teams from The World Bank and a Silicon Valley startup, Yewno. Enes focuses on developing state-of-the-art machine learning solutions using time-series, tabular, and text data. He has experience working on end-to-end ML and data-based projects, including analysis, research, development, and deployment. He is familiar with MLOps and data engineering best practices and tools.
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Alexandra Soroka
Alexandra's always wanted to work with mathematics and language, so she sought out an education that combined programming and linguistics—and has been quite successful. She has about five years of NLP experience at Yandex, a major Russian search engine, and two years at smaller companies plus freelancing. Most of her projects involve entity recognition, but she’s also ranked search results, generated query expansions, and done text summarization.
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Vahe Zakaryan
Vahe is a seasoned data scientist and machine learning scientist with 7+ years of IT experience and a software engineering background. He has been primarily involved in building and developing an in-house search engine, recommendation systems, and demand and supply predictions. His most recent projects are related to generative AI, such as Text2Image (Stable Diffusion) and LLMs (ChatGPT). Vahe is an expert in machine learning and deep learning and is keen on leading small teams.
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Anand Ramanathan
Anand is a leading applied scientist in LLM/GPT applications, blending engineering proficiency, product expertise, & the latest scientific insight. He has 20+ years of experience at Microsoft, Amazon, startups, & consulting. He is proficient in NLU, NLP, Python, & AI engineering. His innovative use of GPT for user-centric solutions enables him to skillfully transform complex AI technologies into efficient, practical products, consistently leading in industry advancements & setting new standards.
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Andrew Burnie
Andrew is an expert in extracting commercially valuable insights from data, with a specialty in text analysis. He has experience in the retail, insurance, and other financial sectors. Andrew earned a PhD in social media analysis, funded by the UK's national institute for data science and AI, and a master's degree in management and economics from the University of Cambridge. He enjoys using machine learning and statistics to help companies get the most out of their data.
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Arsine Sarikyan
Arsine is a creative and scientifically rigorous data scientist with over three years of experience. Her experience includes designing experimentation processes such as data collection, robustness checks, and explainability, developing ML and AI strategies, and conducting NLP research. She specializes in causal analytics to answer the why question and find hidden patterns and relationships. Arsine contributes to the research community by writing and publishing academic papers.
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Sheng Han Lim
Sheng Han is a senior machine learning (ML) engineer with 10 years of experience in the research, development, and application of various ML, AI, and industry 4.0 solutions. He has turned big data into valuable actions, with a demonstrated history of driving business efficiencies and cost reductions. He is proficient in computer vision, NLP, anomaly detection, and prediction tasks. Sheng Han passionately believes in AI and data science and their potential to positively change human life.
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Felipe Costa Farias
Felipe has a Ph.D. in machine learning and a professional software development background. He has worked with machine learning since 2011 and has the experience and skills necessary to fulfill AI/DS roles, from development to team management. Felipe has applied AI to several areas, such as computer vision, natural language processing, time series, bioinformatics, and pharmacy. He is a quick learner with excellent knowledge of Python and artificial intelligence.
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Pedro Henrique Rocha Moy
Pedro is a business-oriented seasoned data scientist and data engineer with experience building and deploying production distributed data pipelines and machine learning models at scale, covering the entirety of the data lifecycle from design, construction, optimization, deployment, and monitoring of data architectures and machine learning models. Pedro's focus is to deliver solutions that are robust to changes in environment and data and flexible to address changes in business requirements.
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Elinor Brondwine
Elinor is a developer and researcher with a strong background in mathematics. Passionate about design and UX, she also utilizes her proficiency in Python, R, C++, and SQL to deliver world-class applications.
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