Dhanushkumar R

• Developed a web application for Singapore users, supporting insurance-related queries in multiple languages with text and TTS responses using FastAPI, HTML/JavaScript, Weaviate, Azure OpenAI, and gTTS
• Designed and deployed multimodal RAG chatbots using Weaviate Cloud and on-premise environments
• Built an end-to-end ASR, STT, and TTS application supporting multiple languages, integrating LLMs for enhanced accuracy
• Developed agentic AI applications using LangGraph, Agno, and function-calling modules
• Built multilingual chatbot applications using Thai and Malay-based SLMs with Ollama
• Integrated LLM observability and monitoring with Langfuse
• Led development of PII-sensitive RAG pipeline using LangChain and Presidio
• Implemented Arabic PII masking with arabic-reshaper
• Designed web scraping and content ingestion pipelines using bs4, crawl4ai, and llama-index
• Resolved API issues and integrated Reader API for efficient data extraction
• Built scalable REST APIs using FastAPI
• Conducted research on LLM evaluation frameworks (RAGAS, Promptfoo, DeepEval)

• Managed collaborations with companies for workshops, hackathons, and internships
• Provided career guidance and insights to students in data science and AI
• Conducted sessions on AI and data to help students scale their knowledge

• Completed technical onboarding
• Created and hosted learning challenges for PowerApps, Azure Fundamentals, and Azure Data Fundamentals
• Conducted workshops on Power Pages, Power BI, ETL, Git, and GitHub
• Organized events on Data Science with Azure Jupyter Notebook
• Initiated Microsoft Azure Community in the region
• Invited Microsoft employees and MVPs to conduct sessions on cracking MAANGF companies
• Trained and supported over 50 students for Azure certifications

• Established and led the Microsoft Learn Student Community
• Organized events and sessions to assist students with Microsoft technologies and certifications
• Collaborated with students to provide guidance on courses and certifications
• Built a community that enhanced students' skills and knowledge in Microsoft technologies

• Conducted research on EMG signal denoising using Discrete Wavelet Packets, VMD, and TQWT
• Applied Gaussian noise to raw EMG data, removed noise with algorithms, and fused denoised EMG components
• Achieved successful denoising results with threshold value extraction and signal fusion techniques

• Worked on real-time timeline summarization with topic modeling using BERTopic and LLMs
• Built a multi-agent conversation question-answering chatbot with LLAMA2

• Explored Generative AI and content writing
• Focused on fine-tuning LLMs, including LoRA, QLoRA, and PaliGemma

• Optimized OCR architecture using models like ResNet, MobileNet, VGGNet, LeNet, and custom CNNs
• Developed NLP techniques for automated resume parsing
• Contributed to the Artificial Intelligence Service Stack (AISS) and Machine Learning Service Stack (MLstack)
• Collaborated with domain experts and embraced continuous learning

• Specialized in deep reinforcement learning, focusing on Proximal Policy Optimization (PPO)
• Developed and deployed deep reinforcement learning models for automation tasks
• Designed shallow and dense neural networks for a comprehensive automation framework

• Conducted R&D on Deepfake Generation and Detection
• Developed a Unet 3D model for DeepFake video segmentation
• Assisted in Deepfake video classification to enhance detection accuracy

• Developed an open-source water management and forecasting system
• Enhanced sustainable water resource utilization through accurate forecasts
• Empowered local stakeholders with tools and knowledge for informed water management
• Fostered collaboration among local government, NGOs, and research communities

Field of Study: Artificial Intelligence and Data Science

GPA: 9.00/10

Coursework: Python, Fundamentals of Java, Data Structures, Foundations of Data Science, Data Mining, Computational Linguistics, Neuro Fuzzy Computing, Text Analytics, Computer Vision, Big Data Management, Ethics in Data Science, Data Visualization, Data Security, Linear Algebra, Probability and Statistics, Predictive Analytics

Activities: Microsoft Student Ambassador, NSDC-SJCE Founder, Event Organizer, Volunteering, Mentoring, Public Speaking, Intel OneAPI Student Ambassador

Field of Study: Maths Biology

Grade: 93/100

Subjects: Maths, Biology, Chemistry, Physics

Recognized for innovative solution addressing environmental challenges.

Won first place for developing an automated solution using UIPath's RPA platform.

Awarded second place in this competitive technical challenge.

Recognized for developing an accurate predictive model for cricket tournament outcomes.

Selected as a finalist in the prestigious Smart India Hackathon.