Loading 3D scene...
Vishnu S
AI & Data Science Enthusiast | Building Intelligent Solutions
About Me
Hello! I'm Vishnu S, a passionate AI and Data Science enthusiast based in Chennai. My journey involves exploring the depths of Large Language Models (LLMs), vector databases, and advanced AI techniques to build intelligent and impactful solutions.
I thrive on transforming complex data into actionable insights and developing cutting-edge applications that leverage the power of Artificial Intelligence.
Education
Anna University
B. Tech Artificial Intelligence and Data Science (CGPA 8.2)
Oct 2021 - Present | Chennai
Rajalakshmi Institute of Technology
Experience
Intern - Data Science & AI Team
Neoware.AI
Jan 2025 - Present | Chennai
- Worked as an intern in the Data Science & AI Department at Neoware.AI, focusing on research in Large Language Models (LLMs), vector databases, embedding models, RAG techniques, and Agentic AI.
- Built an AI-powered chatbot that leverages Retrieval-Augmented Generation (RAG) and vector databases to answer user queries with high contextual relevance and accuracy.
- Applied Model Context Protocol (MCP) and autonomous agent frameworks to enhance information retrieval, reasoning, and system responsiveness.
Skills & Certifications
Core Competencies
- Data Analysis
- Selenium
- Business Intelligence
- Data Visualization
- Artificial Intelligence
- Agile Methodologies
- Vector Databases
- Computer Vision
- Database Management
- Machine Learning
- Azure Cloud Services
- Manual Testing
Programming Languages
- Python
- SQL
- Tableau
- Alteryx
- Aqua
- LLM Integration
- Cloud Storage (Azure)
Certifications
Certified Google IT support professional
Certified IBM Data Analyst Professional
Certified Meta Backend Developer
Certified Google Project Management
Tableau Business Intelligence Analyst Professional
Applied Data Science Capstone
Programming in Python
Introduction to Probability
Projects
Doubt AI – AI-Powered Chatbot using RAG
Backend Development | Mar 2025 - Apr 2025
Built a modular AI chatbot interface using Retrieval-Augmented Generation (RAG) integrated with Google Gemini for natural language generation and Pinecone for vector-based semantic retrieval.
Designed a robust backend pipeline in Next.js to manage embedding, query routing, and document retrieval using Azure Cosmos DB (Mongo API) for structured data storage.
Implemented context-aware query refinement and insurance-specific utility modules to improve accuracy and domain relevance of chatbot responses.
Advanced Crack Detection System
Deep Learning & Computer Vision | Aug 2024 - Sep 2024
Developed an image classification system leveraging ResNet-50 transfer learning, achieving accuracy in object detection.
Engineered real-time processing pipeline to optimize inference speed, resulting in reduced processing time.
Skin Cancer Detection with Multi-Input Deep Learning Model
Machine Learning & Computer Vision | Jan 2025 – Feb 2025
Built a multi-input deep learning model combining KerasCV EfficientNetV2 for image features and dense layers for tabular data (age, sex, lesion location), enabling accurate skin cancer lesion detection.
Engineered a robust tf.data pipeline with augmentation, class balancing techniques (upsampling, downsampling, class weighting), and trained the model with validation AUC-based checkpointing for optimal generalization.