Hire LangChain Developer

- Highly experienced Head of Data Science with 12+ years of experience in creating and managing DS/ML teams in startups and corporate projects; - Proficient in AI, NLP, Adtech, Fintech, and CV; - Strong leadership skills and a client-oriented approach; - Skilled in Python, SQL, Prompt Engineering, HuggingFace, PyTorch, Scikit-learn, Pandas, LangChain, LlamaIndex, Spacy, GPT, Plotly, GCP, AWS, Azure, Postgre, MongoDB, BigQuery, and Vector DB; - Proactive in implementing innovative approaches for product features using Generative AI, LLM, and GPT; - Experienced in proposing innovative solutions for new business problems and managing teams; - Holds a PhD in Data Science and a Master's degree in Computer Science.

- Proficient in React, TypeScript, Redux, and Tailwind CSS; skilled in creating dynamic, reusable, and responsive UI components using Material-UI, Ant Design, and SCSS. - Expertise in Node.js, NestJS, Express, and Firebase; developed RESTful APIs and real-time features using Socket.IO. - Next.js experience includes server-side rendering, static site generation and used dynamic routing, API integration, and component-based architecture. - Developed critical full-stack functionality for SaaS platforms, e-commerce solutions with Stripe and Shopify integrations, and real-time applications. - Migrated platforms from low-code setups to fully custom React solutions. - Strong knowledge of database management with MongoDB, MySQL, and Airtable, using Mongoose and TypeORM for data modeling. - Integrated AI features using OpenAI APIs and LangChain. - Experience with low-code tools like Webflow and n8n to streamline workflows. - implemented CI/CD pipelines on GitHub Actions, - Team coordination and management experience, including product roadmap planning, features backlog management, code reviews, maintaining technical documentation for knowledge sharing.

Certified Data Scientist with a strong focus on NLP, CV, and Recommender Systems backed by 4 years of commercial experience. Proficient in Python with a rich toolset including Pandas, numpy, TensorFlow, and Keras. Possesses a solid track record in building products from scratch and devising innovative solutions with machine learning and data processing methodologies. Hands-on experience in deploying scalable solutions using Kubeflow, Docker, and CI/CD practices, complemented by proficiency with various databases such as MySQL and BigQuery. With a Bachelor’s and Master’s degrees in Cybersecurity Engineering, and continued education via a PhD, the engineer exemplifies a deep understanding of computer science fundamentals and data science trends. This technical expertise, combined with domain knowledge in e-commerce and network security, distinguishes the potential candidate as a valuable asset for fostering growth and innovation in technology-driven environments.