Hire Freelance Retrieval-Augmented Generation (RAG) Developers and Engineers
Daniel Tunnermann
Daniel is a software engineer with over a decade of experience delivering back-end and full-stack projects. With a master's degree in computer science, he incorporated machine learning into his projects, including natural language processing and speech models. Daniel's primary programming languages are Python and Java, but he is adept at applying other skills to deliver results.
Show MoreSnigdha Sharma
Snigdha is an experienced engineer specializing in software development, NLP, computer vision, machine learning, and AWS technologies. She has worked with companies of many shapes and sizes, from a month-old startup still iterating on its ideas to a large bank like JPMorgan Chase to one of the fastest growing names in HR tech—Eightfold.ai. Snigdha has gained insightful experience in several industries, including pharmaceuticals, media and entertainment, national security, fintech, and HR tech.
Show MorePedro Lima
Pedro is a software developer and architect specializing in data science, machine learning, and AI. He has extensive experience in the end-to-end process of conceiving, designing, developing, and deploying data applications for large companies and startups.
Show MoreDenis Volk
Denis is a senior full-stack AI engineer and data scientist, highly skilled in modern generative tech (GPT-4, Midjourney, and more), machine learning, ETL pipelines, data analysis, mathematical modeling, big data, and MLOps. He has a PhD in mathematics, and his data science expertise includes probabilistic risk modeling, revenue forecasting, geospatial data analysis, handwriting recognition, anomaly detection in time series, data engineering, and team leading.
Show MoreHao Xu
Hao is a back-end engineer and full-stack veteran with a proven track record of developing services and software solutions for various companies, ranging from small startups to big top-notch corporations. His expertise spans e-commerce, social applications, games, software infrastructures, DevOps, SaaS, and algorithms. Hao is also proficient in big data, AI, and large language models (LLMs) and excels in executing projects and effectively communicating his ideas.
Show MoreYusuf Mesbah
Yusuf is a prominent software engineer with a strong background in computer science, specializing in math, logic, and cross-platform coding. Inquisitive and energetic, he believes his devotion to technology and hardworking attitude will always encourage him to overcome the most complex challenges and deliver his clients the best possible solutions. Yusuf has excellent collaboration and communication skills and proven problem-solving and analytical abilities.
Show MorePeter Skvarenina
Peter is a high-energy developer looking for exciting projects that he can help grow. He has experience working in both large corporations and startups, having worked for some of the best tech companies, like JetBrains, Nokia, and SUN, and contributed to many #1 solutions in their areas. After completing a master’s in computer science and machine learning, Peter is now expanding his knowledge of deep learning at Stanford, exploring its use to automate cognitive tasks.
Show MoreAlexey Pelykh
Alexey is a seasoned full-stack generalist and software industry expert known for his exceptional issue-cracking skills. He's most proficient in Java/Spring and Node.js/NestJS for the back end and React for the front end and has an insanely strong background in cross-platform C++ development.
Show MoreSheng 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.
Show MoreMarcos Pereira
Marcos is a full-stack developer with over a decade of experience building and maintaining market-defining products. His machine learning background includes a deep learning research stint at MLC under Rosanne Liu (Google DeepMind). He also nurtures an interest in 3D games and simulations, most often relying on the Unity engine, where he has found success as an asset store publisher.
Show MoreAnand 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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