Aakash Mahendiyan

Developed a Survey Application using FastAPI and MongoDB, delivering scalable backend solutions tailored to client requirements. Contributed to the Continental Project as a Python Backend Engineer, leveraging Flask, PostgreSQL, and Azure to enhance enterprise workflows. Developed an agentic system using Streamlit, Langgraph, and an agentic RAG pipeline to streamline database interactions. Integrated natural language query translation into SQLite for seamless data access, while incorporating Google Gemini Flash API to enable multimodal understanding of images and videos for intelligent query responses.

Designed and enhanced a FastAPI‑based QuickSearch Application for AstraZeneca, enabling multilingual search (Katakana, Hiragana) and role‑based access control. Automated regression testing for the JJAR application (Johnson & Johnson), reducing manual effort and improving deployment reliability. Delivered L2/L3 support for SaaS applications in the Life Sciences domain, resolving critical incidents and improving system uptime. Mentored 7+ team members to strengthen overall team capability.

Installed, configured, and supported SaaS‑based PACS systems across hospital networks, ensuring high availability and performance. Collaborated with cross‑functional teams to troubleshoot complex technical issues, minimizing downtime and improving customer satisfaction. Authored technical documentation and conducted client training sessions to drive product adoption and effective usage.