At EIGEN AUTOMATION PVT. LTD., I contributed to RFP Engine and Doc2Data, internal products of Eigennet, a U.S.-based technology company serving federal agencies. I used Python, TypeScript, React.js, and SQL in software development and data processing tasks.
I worked with n8n, Puppeteer, and Python to develop workflow automation and web data extraction solutions. I also used AWS services, Docker, Linux, REST APIs, and LLMs for application integration and AI-powered document processing.
At EDUGENE TECHNOLOGIES, I developed Python pipelines for automated data processing and analysis. I worked with structured datasets, JSON, CSV, SQL queries, and Git for reproducible data workflows.
In my projects, I built an explainable intrusion detection system using supervised learning, Random Forest, Logistic Regression, SHAP, and LIME. I also designed a multi-agent AI interview simulator and developed a CNN-based facial recognition attendance system using Python, OpenCV, and Flask.
