About
Computer Science and Engineering student with hands-on experience in machine learning, data analysis, and applied AI projects. Built predictive and retrieval-based systems using Python, Scikit-learn, FastAPI, Docker, and Streamlit.
Experience
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AI/ML InternAverixis SolutionsJan 2026 – Apr 2026
Education
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2026
Bachelor of Technology in Computer Science and EngineeringParul Institute of TechnologyComputer Science · Sep 2022 – May 2026
Skills
<3 months
<3 months Just getting started - under three months. This is also what shows when a level has not been set.
C
SQL
RAG
Java
Bash
LLMs
NumPy
Flask
Faiss
Python
Pandas
FastAPI
PyTorch
Seaborn
XGBoost
LangChain
JavaScript
Matplotlib
scikit-learn
Transformers
Deep Learning
Neural Networks
Semantic Search
Model Evaluation
Data Preprocessing
Prompt Engineering
Feature Engineering
Statistical Analysis
Application Deployment
Exploratory Data Analysis
Natural Language Processing
API Integration Understanding
Tools / apps / platforms
<3 months
<3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git
Linux
Docker
GitHub
VS Code
ChromaDB
Hugging Face
Microsoft Excel
Projects
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Chat with World History TextbookLangChain, Vector DB, Groq LLM, Streamlit
Engineered a retrieval-augmented generation conversational system for contextual Q&A over textbooks with grounded responses and source citations.
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Customer Churn Prediction APIPython, Scikit-learn, FastAPI, Docker, Pandas
Built an end-to-end predictive machine learning pipeline and a low-latency REST API for churn prediction with automated preprocessing and Dockerized deployment.
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Hybrid Semantic Search EnginePython, ChromaDB, Sentence-Transformers, BM25, Streamlit
Engineered an end-to-end neural information retrieval system using dense vector embeddings, persistent vector storage, hybrid lexical and semantic search, and Streamlit deployment.