Docify (Healthcare AI Assistant)
Built a RAG-based healthcare assistant using Python, Flask, FAISS and OpenAI GPT with JWT authentication, Docker and Azure deployment.
Technical Analyst | Data Science & Backend Engineer
Technical Analyst with experience in backend engineering, cloud deployment, data science and machine learning. Experienced in Python, React.js, Azure, ETL pipelines, RAG systems and scalable APIs. Solved 300+ LeetCode problems and passionate about building production-ready software.
Built a RAG-based healthcare assistant using Python, Flask, FAISS and OpenAI GPT with JWT authentication, Docker and Azure deployment.
Developed a full-stack e-commerce platform using React.js, Node.js, Express.js and MongoDB with CI/CD deployment.
Engineered six Transportation Management System modules, optimized PostgreSQL queries reducing latency by 30%, improved API throughput by 20%, and deployed Azure CI/CD pipelines.
Designed K-Means customer segmentation models, processed 200,000+ records on Azure and developed Streamlit dashboards reducing reporting effort by 40%.
Built Selenium and BeautifulSoup scraping pipelines and Python ETL workflows for SQL databases.
Python, JavaScript, TypeScript, Java, C++, SQL, Bash
Generative AI, RAG, FAISS, OpenAI GPT, LLMs, Scikit-Learn, TensorFlow, Pandas, NumPy
Node.js, Express.js, Flask, Azure, AWS, Docker, CI/CD, PostgreSQL, MongoDB, React.js
Swami Keshvanand Institute of Technology (Nov 2022 – Jun 2026) • CGPA: 8.18 / 10.0
Copado AI • Copado Robotic Testing • Machine Learning A-Z • IBM ML for Data Science • Linux Unhatched • Full Stack Web Development
Solved 300+ LeetCode problems (Top 15% globally). Built production RAG systems, scalable APIs, ETL pipelines, and cloud-native applications.