Python | Backend Engineer | AWS
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- 737337 Vaslui, Vaslui
- Nähe des Wohnortes
- en
- 13.09.2024
Kurzvorstellung
? Programming Languages: Python, JavaScript, TypeScript, Rust, Ruby, Go, PHP, C/C++
? Web Frameworks: Django, FastAPI, Flask, Laravel, Express.js,Next.js,
? LLM & LLM Frameworks: Langchain, Autogen
Qualifikationen
Projekt‐ & Berufserfahrung
6/2023 – offen
Tätigkeitsbeschreibung
Bunnyshell is an Internal Developer Platform with GitOps, Preview Environments, and Standardised Development Environments. Works with. any cloud.
• Developed and maintained Bunnyshell’s Internal Developer Platform, leveraging Python to enhance GitOps workflows and streamline deployment processes.
• Implemented AI-driven solutions to optimize preview environments, allowing developers to visualize changes in real-time across any cloud infrastructure.
• Designed and integrated LLM-based tools to automate standard development environments, significantly reducing setup time for new projects.
Collaborated with cross-functional teams to deploy machine learning models on AWS, improving system scalability and performance.
• Enhanced CI/CD pipelines, resulting in a 50% reduction in deployment times and increased reliability for development teams.
• Conducted training sessions on AI and ML best practices, fostering a culture of innovation and continuous learning within the engineering team.
• Achieved a 40% increase in developer productivity through the implementation of standardized environments and automated testing frameworks.
Git, Python
12/2020 – 12/2022
Tätigkeitsbeschreibung
EcoTree is the first software platform where authorized waste collectors can be connected with waste generators. Through EcoTree’s service, users can manage specific waste and recycling operations, such as vendor management, multi-location management, document automation, bidding, and reporting.
• Led the development of a scalable platform connecting waste collectors and generators, utilizing Python and AI to enhance operational efficiency.
• Designed and implemented machine learning algorithms to optimize waste management processes, resulting in a 30% reduction in operational costs.
• Collaborated with cross-functional teams to automate document management and improve vendor management systems, increasing user satisfaction by 40%.
• Spearheaded the integration of data analytics tools, enabling real-time reporting and insights for stakeholders, which improved decision-making capabilities.
• Achieved recognition for developing a predictive model that accurately forecasts waste generation trends, contributing to EcoTree’s sustainability goals.
Data Warehousing, Datenanalyse, Maschinelles Lernen, Python, Django
12/2017 – 12/2020
Tätigkeitsbeschreibung
Omniconvert is the only platform in the world that allows businesses to develop data-driven insights and personalisation experiments.
• Designed and developed REST API and optimized SQL query, resulting in a 20% reduction in query speed.
• Built a Django application for data-driven insights in-app and provided a good user experience, engaging more 15% customers
• Participated in the design and implementation of a new data visualization tool, which became a key product offering.
• Collaborated with cross-functional teams to integrate customer feedback into product enhancements, improving user experience.
• Optimized existing codebase, resulting in a 15% improvement in application performance.
• Provided technical support and training to new team members, ensuring a smooth onboarding process.
Data Science, Apache Hadoop, Data Mining, SQL, Python, Amazon Web Services (AWS), Django, Representational State Transfer (REST)
Ausbildung
University of Hong Kong
Vaslui, Vaslui
Über mich
AI/RAG Solutions: Proficient in developing AI solutions across various industries including Conversational AI, Voice-to-Voice technology, Text-to-Image generation, and Talk-to-your-Data applications. As an AI Solution Architect, I have actively contributed to numerous AI projects such as AI chatbots, AI agents utilizing Langchain, Autogen, and MemGPT, real-time search assistants, and more.
Weitere Kenntnisse
? Programming Languages: Python, JavaScript, TypeScript, Rust, Ruby, Go, PHP, C/C++
? Frontend Technologies: React.js, Next.js, Vue.js, Angular, Svelte
? Web Frameworks: Django, FastAPI, Flask, Laravel, Express.js
? AI & ML Tools: Chainlit, Streamlit, Gradio, Plotly & Dash, Panel, Anvil, Numpy, PySpark, Pandas, PyTorch, TensorFlow, Keras, Vertex AI, SageMaker
? LLM & LLM Frameworks: Langchain, Autogen, LangGraph, LangFlow, Langcorn, Haystack, Autochain, CrewAI, PromptChainer, GPT-4, GPT-4o, Genimi, Claude-2, Mistral, Llama, ChuXin, Vanna.ai, WrenAI, Cohere, NanoLlava, Google Vertex Agent Console
? Text-to-Image Solutions: DALLE, Midjourney, Stable Diffusion, DreamBooth, Sora
? VectorDB Platforms: PineCone, Weaviate, ChromaDB, LanceDB, pgvector (PostgreSQL)
? Databases: MySQL, PostgreSQL, MariaDB, MongoDB, Firebase, Supabase
? Chatbot Builders: DialogFlow, Botpress, ManyChat, Freshchat, Rasa, Botsonic, Tidio, KORE.AI, Flowise.
? DevOps Tools: Docker, Kubernetes, Nginx, Jenkins, Git, Grafana, DataDog
? Cloud Services: AWS (Amazon Web Services), Azure (Microsoft Azure), GCP (Google Cloud Platform), Fly.io
? UML & System Design Tools: Lucidchart, Enterprise Architecture Tools
? No Code & Low Code Platforms: Retool.com (Retool), toddle.dev(Toddle), Bubble.io (Bubble), Gadget.dev (Gadget), Appsmith.com (Appsmith), Tooljet.com (Tooljet), Airtable, Xano(xano.com)
? API Integrations: Stripe, PayPal, Twilio, SendGrid, Google APIs
Persönliche Daten
- Englisch (Muttersprache)
- Europäische Union
- Schweiz
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