Divya (Dharmapura) Manjunath-AI Engineer and Software Engineer
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Experience
Artificial Intelligence and Automation Consultant
Perulatus
- Engineered and maintained backend systems and APIs for scalable AI-powered applications, integrating LLM-based functionality and MCP integrations for marketing tools into production environments with a focus on reliability, performance, and maintainability.
- Built and deployed LLM-driven workflows, retrieval-enhanced application features, and n8n-based automations, enabling intelligent automation and AI-assisted functionality across backend systems.
- Developed an automated AI content publishing pipeline using n8n, LLM-based content generation, AI image generation, HTML processing, WordPress API integration, and Supabase/Postgres for end-to-end workflow execution.
- Optimized AI workflows and n8n automations by replacing manual steps with webhook-based and API-driven processes, improving scalability, consistency, speed, and production readiness.
- Partnered with cross-functional teams to troubleshoot issues, improve existing software, and deliver new AI-enabled product features in a fast-paced startup environment, while leveraging ChatGPT and Claude to accelerate prototyping, testing, and debugging.
Master Thesis
Computer Sciences Chair, FAU
- Collected and processed large-scale web data from university websites using automated web scraping, data extraction, and preprocessing techniques. Developed Python-based data pipelines to generate structured datasets and convert them into JSONL format for LLM training and fine-tuning workflows.
- Fine-tuned the Mistral-7B language model using LoRA and Hugging Face Transformers to build an intelligent AI-powered university information assistant. Optimized data preprocessing pipelines, multilingual dataset handling, and training workflows
- Built an information retrieval and question-answering system to deliver accurate responses from large-scale institutional data, demonstrating practical application of LLMs in production use cases.
Artificial Intelligence and Machine Learning Intern
Tequal labs
- Built and evaluated ML models for structured prediction tasks, applying rigorous evaluation (MAE, MSE) to ensure reliability and reproducibility.
- Strengthened foundations in data processing, model evaluation, and debugging skills transferable to production-grade ML systems.
Student Trainee
Interone Technologies
- Worked on the Sales Report with Power BI, transforming raw sales data into actionable insights through advanced data modelling, cleaning, and integration. Developed dashboards with slicers, filters, and real-time updates, streamlining reporting and enhancing decision-making on sales trends and financial performance.
Industry Experience
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Experienced in Information Technology and Education.
Business Area Experience
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Experienced in Information Technology, Research and Development, Operations, Product Development, and Business Intelligence.
Summary
AI Engineer and Software Engineer with experience developing Generative AI applications, Retrieval-Augmented Generation (RAG) systems, Large Language Model (LLM) applications, AI automation workflows using n8n, Model Context Protocol (MCP) integrations, scalable backend services, and cloud-native software using Python and modern AI frameworks.
- Experience developing AI-powered applications, conversational AI solutions, intelligent automation workflows, and backend services using Python and modern AI frameworks.
- Hands-on experience with Large Language Models (OpenAI, Claude, Gemini, Llama), LangChain, LangGraph, prompt engineering, AI agents, and enterprise AI integrations.
- Strong proficiency in Python, REST APIs, Docker, cloud technologies (Azure), backend engineering, and scalable software architecture.
- Experience integrating AI services, building production-ready AI applications, automating workflows with n8n, and developing enterprise AI solutions.
- Strong analytical thinking, rapid prototyping skills, and experience delivering reliable AI systems through testing, deployment, and collaboration with cross-functional teams.
Skills
- Programming Languages: Python, Sql, Javascript, Html, Css.
- Ai & Llm Technologies: Generative Ai, Llms, Rag Pipelines, Prompt Engineering, Nlp, Ai Agents, Multi-Step Workflows, Tool Calling, Langchain.
- Automation & Integration: N8n, Rest Apis, Workflow Automation, Api Integrations, Json Processing, Webhooks.
- Cloud & Devops: Docker, Ci/Cd Pipelines, Git, Azure Devops, Aws Fundamentals, Linux/Unix.
- Data Engineering & Analytics: Etl Pipelines, Data Processing, Data Transformation, Power Bi, Data Visualization, Sql Databases.
- Libraries & Frameworks: Pandas, Numpy, Scikit-Learn, Pytorch, Matplotlib, Seaborn, Beautiful Soup.
- Tools & Platforms: Ms Office, Power Bi, Github, Azure Devops, Jupyter Notebook, Windsurf.
Languages
Education
Friedrich-Alexander-Universität Erlangen-Nürnberg
Data Science · Germany
Visvesvaraya Technological University
Bachelor of Engineering · Information Science and Engineering · India
Certifications & licenses
Azure AI Fundamentals
Azure Data Scientist Associate
Oracle Certified: Generative AI Professional
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