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.

- Data Scientist with 4+ years of experience in AI and machine learning; - Specialized in NLP, time series forecasting, and generative AI; - Built RAG systems using OpenAI, Langchain, and custom pipelines; - Developed multi-agent systems for sales enablement, education, and virtual assistants; - Proficient in Python, SQL, and ML libraries like Pandas, Sklearn, Keras, and PyTorch; - Created legal assistants with HuggingFace models and citation-based RAG responses; - Built voice-based chatbots using OpenAI Whisper and ElevenLabs for voice cloning and audio processing; - Designed pipelines for text-to-speech and image generation in mobile and cloud environments; - Extracted and analyzed financial data using AWS Textract and OpenAI VLMs; - Built production-ready support bots using Dialogflow CX, Twilio, and Google Firestore; - Experienced with AWS and GCP for scalable model deployment.

- 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.

- Experienced Machine Learning Engineer with Data Engineering skills - Experience in ensemble recommendation systems, customer behavior prediction, and recruitment insights, analytics, chatbots. - Experience in user retention, engagement, operational efficiency increase, enhancing stock turnover, forecasting accuracy, automated damage assessment models, and vehicle security through advanced ML models and BigData. - Worked with industries: insurance, finance, restaurants - Solid expertise with Big Data, Natural Language Processing, Computer Vision

- Data Scientist with a focus on Natural Language Processing and 16 years of experience in the IT industry; - Experienced in designing cloud-based architectures using BigQuery, Vertex AI, Cloud Functions, Datastore, and Cloud Storage; - Applies machine learning and deep learning techniques to solve problems in NLP, computer vision, and time series analysis; - Solid foundation in unsupervised learning methods, including clustering, anomaly detection, and recommender systems; - Skilled in full-cycle solution design, from requirements gathering to development and deployment; - Specialized in Generative AI, building advanced algorithms and models to address complex tasks using generative techniques; - Experience in ML model development for prediction, classification, and optimization use cases; - Proficient in Agentic AI, creating autonomous systems powered by LLMs for decision-making and workflow automation; - Experienced in text-to-speech technologies and implementation; - Experience with cloud platforms, including AWS (S3, EC2, Lex, Lambda, EMR), Azure OpenAI, and Google Cloud; - Developed applications across macOS, Linux, and Windows environments; - Creative and results-driven, with strong analytical, communication, and presentation skills.

Software engineer with over 8 years of experience, including 5+ years specialized in AI. Proven track record in leading AI strategy, implementing machine learning models, and training teams on AI tool usage. Expertise in Python and various ML libraries (e.g., TensorFlow, PyTorch), as well as in CI/CD, virtualization, and API development. Adept in managing cloud infrastructures (AWS, Azure) and ensuring system performance and efficiency. Holds a Master’s in Project Management, indicating a strong foundation in leading complex technical initiatives.