Vishwanath Rajendran

<p>Designed, developed, and deployed Generative AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agents.</p><p>Built AI-powered assistants and chatbots using LangChain, LangGraph, OpenAI APIs, and local LLMs (Ollama/Mistral).</p><p>Developed scalable backend APIs using Python (FastAPI/Flask) for AI-driven applications.</p><p>Implemented document intelligence solutions using OCR, PDF parsing, and intelligent information extraction.</p><p>Designed and optimized RAG pipelines using vector databases such as FAISS and Qdrant to improve response accuracy.</p><p>Created prompt engineering strategies and context management techniques to enhance LLM performance and reduce hallucinations.</p><p>Developed and maintained AI features for the DigiDARA LMS platform, including AI-based learning assistants and automated certificate generation.</p><p>Built REST APIs and integrated AI services with React-based frontend applications.</p><p>Designed relational database schemas and optimized SQL queries using MySQL.</p><p>Containerized AI applications using Docker and Docker Compose for consistent deployment.</p><p>Integrated asynchronous task processing using RabbitMQ for background AI workflows.</p><p>Fine-tuned AI application performance through prompt optimization, retrieval tuning, and response evaluation.</p><p>Collaborated with frontend developers, designers, and stakeholders to deliver end-to-end AI solutions.</p><p>Conducted testing, debugging, monitoring, and maintenance of AI applications in production environments.</p><p>Researched emerging AI technologies and evaluated new LLM frameworks, embedding models, and vector databases for product enhancement.</p><p>Participated in code reviews, technical documentation, and agile development practices to ensure high-quality software delivery.</p><p></p>

<p>Accomplished a virtual job simulation in Power BI at PwC.</p><p> Developed expertise in data visualization and business intelligence.</p><p> Demonstrated proficiency in creating interactive dashboards.</p><p> Demonstrated proficiency in analyzing complex data sets.</p><p> Demonstrated proficiency in deriving actionable insights.</p><p> Gained hands-on experience with Power BI's advanced features to support data-driven decision-making.</p>

<p>Successfully concluded a virtual job simulation focused on Data Analytics and Visualization at Accenture.</p><p> Gained practical experience in analysing complex datasets.</p><p> Created insightful visualizations.</p><p> Presented findings to stakeholders.</p><p> Strengthened skills in Excel.</p><p> Strengthened skills in Power BI.</p><p> Strengthened skills in data-driven storytelling to support business decision-making.</p>

<p>Completed a virtual data science internship at Codsoft.</p><p> Gained hands-on experience with data analysis.</p><p> Gained hands-on experience with data visualization.</p><p> Gained hands-on experience with machine learning techniques.</p><p> Contributed to real-world projects.</p><p> Collaborated with a team of professionals.</p><p> Applied industry-standard tools like Python.</p><p> Enhanced skills.</p><p> Developed a strong understanding of data-driven decision-making.</p>