Building practical AI applications that turn data, documents, and intelligence into useful solutions.
- 🤖 AI/ML Engineer focused on building end-to-end AI applications
- 🧩 Interested in Machine Learning, NLP, Generative AI, RAG & Agentic AI
- 🔍 Enjoy working with LLMs, embeddings, semantic search and AI agents
- 🚀 Focused on turning AI concepts into practical, usable products
- 📚 Continuously learning and improving my skills in AI/ML engineering
Languages: Python,
Machine Learning: Scikit-learn, XGBoost, LightGBM
Deep Learning: TensorFlow, Keras, PyTorch
NLP: NLTK, TF-IDF, Embeddings, Semantic Search
Generative AI: LLMs, RAG, Prompt Engineering, Agentic AI, Tool Calling
AI Frameworks: LangChain, FastAPI, Streamlit
Vector Search: FAISS, Sentence Transformers
Tools: Git, GitHub, Jupyter, Google Colab, VS Code, AWS
An AI-powered research system designed to analyze web information, identify meaningful signals and emerging trends, and generate business opportunities and creative directions.
Core Technologies
Python LLMs Web Research Groq Agentic AI Data Intelligence
An intelligent customer-support agent that combines an LLM with tools, retrieval, and memory to handle customer queries and perform useful actions.
Key Capabilities
- 🤖 AI-powered customer conversations
- 🔎 Knowledge-base retrieval using RAG
- 🛠️ Tool calling for tasks such as calculations and order tracking
- 🧠 Conversational memory
- ⚡ LLM-powered reasoning
Core Technologies
Python Groq GPT-OSS 120B RAG FAISS Tool Calling Memory
A document intelligence application that allows users to upload PDF files, search their content semantically, and receive context-grounded answers.
Key Capabilities
- 📄 PDF document processing
- 🔍 Semantic search
- 🧠 Embedding-based retrieval
- 💬 Context-grounded question answering
- 🤖 LLM-powered document interaction
Core Technologies
Python Streamlit PyMuPDF Sentence Transformers FAISS RAG LLMs
Python SQL
Regression Classification Clustering
Feature Engineering Model Evaluation
Hyperparameter Tuning
ANN CNN Transfer Learning
Image Classification Data Augmentation
Text Preprocessing TF-IDF
Sentiment Analysis Embeddings
LLMs Prompt Engineering RAG
Agentic AI Tool Calling
Vector Search AI Agents
Scikit-learn TensorFlow PyTorch
Pandas NumPy OpenCV
LangChain FastAPI Streamlit FAISS
Git GitHub Jupyter Google Colab
VS Code Docker
🚀 AROHA — AI Research & Opportunity Intelligence
Working on improving AI-driven research, signal detection, trend intelligence, opportunity generation, and visual intelligence.
Machine Learning
↓
NLP & Deep Learning
↓
Generative AI
↓
RAG & LLM Applications
↓
Agentic AI
↓
End-to-End AI Systems