About
Highly motivated Computer Science and Engineering student specializing in AI/ML, with a strong foundation in GenAI and full-stack development. Proven ability to design and implement robust machine learning models, develop scalable AI solutions, and build interactive web applications, achieving up to 94% accuracy in complex data analysis projects. Eager to leverage expertise in Python, MERN stack, and Databricks to drive innovative software development and contribute to cutting-edge AI initiatives.
Work
Remote, N/A, India
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Summary
Contributed to GenAI and full-stack development projects, leveraging Python, MERN stack, Flask, and Streamlit within Databricks to enhance intelligent document processing.
Highlights
Contributed to GenAI and full-stack development initiatives, leveraging Python, MERN stack, Flask, and Streamlit within Databricks to enhance intelligent document processing systems.
Designed and implemented LLM-powered Retrieval-Augmented Generation (RAG) workflows, integrating semantic search, vector databases, and embedding models to develop advanced chatbot systems.
Utilized Databricks services, including apps, serving endpoints, utility catalogs, APIs, and SQL warehouse, to develop and deploy scalable AI solutions.
Applied MLflow for robust experiment tracking and collaborated with Figma for UI/UX design, ensuring seamless end-to-end solution development.
Developed and optimized data-driven pipelines with MySQL, facilitating structured data storage, efficient retrieval, and seamless integration with AI workflows.
Education
Skills
Programming Languages & Libraries
Python, scikit-learn, Pandas, NumPy, Matplotlib, Java.
Web Development & Frameworks
Flask, Streamlit, React.js, MERN Stack.
Databases & Tools
MySQL, MongoDB, Git, Jupyter Notebook, VS Code, Power BI, Tableau, Databricks.
Machine Learning & AI Expertise
Machine Learning, Data Preprocessing, EDA (Exploratory Data Analysis), Feature Engineering, Generative AI (RAG, Embeddings, Chatbots).