Final-year Artificial Intelligence & Data Science student passionate about building practical AI systems that combine machine learning, data analysis, and generative AI technologies.
I enjoy solving real-world problems using data-driven approaches and developing intelligent applications powered by modern ML and LLM frameworks.
Currently exploring areas such as Retrieval-Augmented Generation (RAG), machine learning systems, and AI-powered automation.
Python, SQL
Supervised & Unsupervised Learning
Classification, Regression, Clustering
Anomaly Detection
Feature Engineering
Model Evaluation & Prediction
Pandas
NumPy
Matplotlib
Seaborn
Tableau
RAG Pipelines
Embeddings
Prompt Engineering
LLM Workflows (Gemini API)
Scikit-learn
LangChain
Streamlit
Gradio
Flask (basic)
Docker
Apache Kafka
Zookeeper
AWS (EC2, S3 – basic)
- Built ensemble anomaly detection model using Random Forest, XGBoost, and Isolation Forest
- Achieved ~96% accuracy with only 4 false positives
- Performed preprocessing, feature engineering, scaling, and model comparison
- Integrated ML pipeline with database-backed automated response system
- Developed Streamlit interface for real-time anomaly monitoring
- Built a Retrieval-Augmented Generation (RAG) system using Python and Google Gemini to answer questions from PDF documents.
- Implemented document ingestion, text chunking, embedding generation using SentenceTransformers, and semantic retrieval using ChromaDB.
- Designed a retrieval pipeline that fetches relevant document chunks and generates grounded responses with source citations.
- Evaluated retrieval quality using multiple test queries.
- Developed Python pipeline to extract structured data from PDFs
- Converted results into Excel/CSV automatically
- Built lightweight Gradio interface for user interaction
- Built interactive Tableau dashboard for KPI monitoring
- Implemented SQL-based data extraction and transformation
- Designed visual analytics for trend analysis and performance tracking
- Advanced Retrieval-Augmented Generation systems
- Vector database optimization
- ML system design & deployment
- Scalable AI application architectures
I am currently looking for opportunities in:
- Data Science
- Machine Learning Engineering
- AI Engineering
- Generative AI / LLM Applications