- 🎓 B.E in Artificial Intelligence & Machine Learning – PES Modern College of Engineering
- 🤖 Aspiring Data Science & AI Engineer with hands-on experience in Machine Learning, NLP, Deep Learning & RAG
- 🔬 Skilled in statistical modeling, LLM-based retrieval systems, generative AI & transformers
- 🌱 Currently learning: Advanced LLMs, Fine-tuning, Vector Databases, and Multimodal AI
- 💼 Open to opportunities in AI/ML Engineering, Data Science, and GenAI roles
- 📌 Passionate about building scalable, explainable & research-driven AI systems
Additional Skills:
- LLMs (Llama 3, OpenAI), RAG, LangChain, LlamaIndex
- FAISS, ChromaDB
- NLTK, spaCy, Transformers
- EasyOCR, Object Detection (YOLOv8)
- Flask, FastAPI, Streamlit
- EDA, Feature Engineering, Model Optimization
🚀 Projects
| Domain | Project | Description | Tech Stack | Code |
|---|---|---|---|---|
| 🤖 Agentic AI (Multimodal) | MIRA – Multimodal Intelligent Reasoning Agent | An autonomous multimodal AI agent that extracts content, detects intent, and executes tasks intelligently across text, images, PDFs, and audio. | FastAPI, Python, Tesseract OCR, PyPDF2, pdf2image, Whisper STT, LangChain, HuggingFace Transformers, Ollama (Llama 3.2 / Mistral), HTML/JS | 🔗 View |
| 🎥 Multimodal Generative AI | StoryTails – AI Text-to-Video Generator | End-to-end AI storytelling pipeline that converts text stories into animated videos using LLM-based scene extraction and diffusion-based video generation with neural voice narration. | Python, Llama 3, SDXL, Stable Video Diffusion, Coqui XTTS, Streamlit, FFmpeg | 🔗 View |
| 🧠 LLM + RAG (Generative AI) | Smart Legal Assistant – AI RAG Chatbot (LegalTech Domain) | AI-driven legal assistant using RAG architecture to retrieve relevant legal documents and generate context-aware responses using the local LLaMA 3.1 model with efficient document chunking. | Python, LangChain, ChromaDB, Groq LLaMA 3.1, Streamlit | 🔗 View |
| 💬 NLP | Text Summarization Tool | Developed hybrid extractive–abstractive summarization system using BERT and T5 with NLP preprocessing and real-time evaluation using BLEU metrics. | Python, NLTK, spaCy, Transformers (BERT, T5), Flask | 🔗 View |
| 👁 Computer Vision | Number Plate Detection System | Real-time license plate detection using YOLOv8 with OCR and regular expression-based validation for increased accuracy. | YOLOv8, OpenCV, EasyOCR, Python | 🔗 View |
| 🌿 CNN (Deep Learning Vision) | PlantSpecialist – Plant Disease & Species Classifier | CNN-based image classifier to detect disease and plant species using image recognition and augmented datasets. | Python, TensorFlow/PyTorch, OpenCV/PIL (Image Processing) | 🔗 View |
| 📈 Machine Learning | Bank Marketing Campaign Classification | ML pipeline for customer conversion prediction using structured data, EDA, feature engineering, model optimization, and full evaluation (Accuracy, ROC-AUC, F1 Score). | Python, Pandas, Scikit-learn, Matplotlib, Seaborn | 🔗 View |
| 📊 Data Analysis & BI | Banking Campaign Insights Dashboard | Power BI dashboard to analyze campaign performance, customer segmentation, and conversion trends for strategic decision-making. | Power BI, SQL, Excel (Preprocessing), Python | 🔗 View |
- 🤖 ML Intern – Symbiosis Institute of Geoinformatics (May 2025 – Aug 2025)
- 🛰 Built ML pipelines on MIMIC-IV healthcare data improving accuracy by 7%
- ☁ OCI Data Science Professional – Oracle
- 🔮 OCI Generative AI Professional – Oracle
- 📘 Data Visualization – TATA Forage
- 👨🏫 Software Engineering – TATA Forage