I am a Computer Science graduate specializing in Machine Learning, Deep Learning, and Generative AI, with hands-on experience in Python, TensorFlow, RAG, Vector Databases, and AI-powered applications.

I enjoy transforming raw data into meaningful insights, developing intelligent systems, and building scalable AI/ML solutions that solve real-world problems.

• 🤖 Artificial Intelligence, Machine Learning & Predictive Modeling
• 🧠 Deep Learning, NLP & Computer Vision
• ✨ Generative AI, RAG & LLM Applications
• 📊 Data Analysis, Feature Engineering & Model Building
• 🔍 Data Preprocessing, Statistical Modeling & Predictive Analytics
• 🚀 End-to-End ML Deployment & Real-Time AI Applications
• 💡 Problem Solving, Algorithm Design & AI Automation
• 📚 Continuously learning advanced AI concepts and frameworks

I am deeply interested in building intelligent AI systems using modern technologies such as Large Language Models, LangChain, LlamaIndex, RAG, Vector Databases, Hugging Face Transformers, and AI agents.

• 🔍 Retrieval-Augmented Generation (RAG)
• 💬 AI Chatbots & Conversational AI
• 🤖 Multi-Agent AI Systems
• 🧠 Large Language Models & Transformers
• 📖 Prompt Engineering
• 📈 Predictive Analytics & NLP
• 👁️ Computer Vision & Image Analysis
• ⚡ AI Automation & Intelligent Systems
• 🌐 Low-Resource Language AI

Python • C • C++ • Java • SQL

• ✔️ Supervised Learning
• ✔️ Unsupervised Learning
• ✔️ Deep Learning
• ✔️ Neural Networks
• ✔️ Natural Language Processing
• ✔️ Computer Vision
• ✔️ Feature Engineering
• ✔️ Model Evaluation & Optimization
• ✔️ Predictive Modeling
• ✔️ Statistical Modeling

LangChain • LlamaIndex • RAG • Prompt Engineering • Hugging Face Transformers • Vector Databases • LLMs

MySQL • MongoDB • ChromaDB • FAISS

• 📌 Data Cleaning & Preprocessing
• 📌 Exploratory Data Analysis
• 📌 Data Visualization
• 📌 Feature Engineering
• 📌 Predictive Analytics
• 📌 Business Intelligence

AWS • Google Cloud Platform • Microsoft Azure

Flask • FastAPI • Docker • MLflow • Streamlit

HTML • CSS • JavaScript • PHP

Jupyter Notebook • Google Colab • Git • GitHub • VS Code

📅 January 2026 -- Present 📍 Bangalore

• Undergoing structured training and hands-on internship in Artificial Intelligence, Machine Learning, and Data Science.
• Applying Python, data analysis, ML algorithms, and NLP techniques through real-world projects.
• Working with real-world datasets for data preprocessing, model development, and predictive analytics.
• Developing an AI-based project to solve real-world business problems as part of a live industry project.

📅 December 2024 -- April 2025 📍 Remote

• Completed a 15-week internship in AI and Data Analytics.
• Gained hands-on experience in data analysis, visualization, and predictive modeling through real-world projects.
• Certified in IBM skill assessments.
• Developed an NLP-based healthcare data cleansing project.
• Strengthened analytical and problem-solving skills through Wadhwani and Tek Pyramid job-readiness training.

🚧 Currently Developing | July 2026 -- Present

• Developing an AI-powered Tulu–English–Kannada translation system using NLP and LLM-based approaches for low-resource language processing.
• Designing a multi-agent AI tutor with specialized agents for translation, grammar, conversation, quizzes, and personalized learning.
• Building Tulu Lipi handwriting recognition using computer vision, including character recognition and writing feedback.
• Exploring speech recognition, text-to-speech, RAG, and adaptive learning to create an interactive language education and preservation platform.

📅 January 2026 -- May 2026

• Developed an AI-powered medical chatbot using Retrieval-Augmented Generation (RAG) and LangChain.
• Integrated Large Language Models with a vector database for document retrieval, embedding generation, and semantic search.
• Improved answer relevance through combined retrieval-based and generative AI techniques.
• Built a user-friendly interface for real-time healthcare query handling.

📅 October 2024 -- May 2025

• Developed a college project for a virtual healthcare system focused on depression detection.
• Used CNN and Haar Cascade for facial emotion analysis.
• Implemented TF-IDF and Naive Bayes for text-based sentiment analysis.
• Integrated an emotion-aware chatbot for real-time mental health support.
• Combined multi-modal inputs to improve detection accuracy and user engagement.
• Implemented a user-friendly interface to visualize emotional trends and provide personalized insights.

• Created an automated NLP pipeline for cleaning healthcare records.
• Applied preprocessing techniques to improve healthcare data quality.
• Worked with terminology alignment and data preparation for analytics.

• Developed a DBMS-based inventory management system using PHP and MySQL.
• Implemented stock tracking and inventory management.
• Added authentication and automated stock alerts.

• 🚀 End-to-End Machine Learning Pipelines
• 🧠 RAG & LLM Applications
• 🤖 Multi-Agent AI Systems
• 🌐 Tulu Language AI & Low-Resource NLP
• ✍️ Tulu Lipi Handwriting Recognition
• 🎙️ Speech Recognition & Text-to-Speech
• 📊 Advanced Feature Engineering
• ⚡ Real-Time AI Solutions
• 🔍 AI-Powered Data Analytics
• ☁️ Cloud-Based AI Deployment

🎓 Bachelor of Engineering in Computer Science

📍 Vivekananda College of Engineering and Technology (VTU) 📊 CGPA: 8.04/10 📅 2021 -- 2025 📍 Puttur, Karnataka

• 📜 NASSCOM AI Business Intelligence Analyst Certification
• 📜 Python Programming Certification — GUVI
• 📜 Data Science Training Program — DevTown
• 📜 Artificial Intelligence for India 2.0 — Skill India Digital (GUVI)
• 📜 IBM Skill Assessments — Rooman Technologies Internship

"Turning data into intelligent solutions through AI."

⭐ Building. Learning. Innovating with AI. ⭐