NISHCHITHA M S

At Elmeasure India Private Limited, a Senior Engineer leveraged Python and FastAPI to develop high-performance APIs, significantly enhancing system integration. Expert in MongoDB and MicroPython, I spearheaded projects that improved query performance and interface usability. My leadership in mentoring and problem-solving boosted team productivity and customer satisfaction, showcasing my technical proficiency and collaborative spirit.

• Date of Birth: 08/07/98
• Gender: Female
• Nationality: India
• Marital Status: Married

Class A Power Quality Analyser with Nextion Display| Micro python, Nextion editor

• Description:Developed a Class A Power Quality Analyzer compliant with IEC 61000-4-30 for monitoring voltage sags, swells, harmonics, and transients. Integrated a Nextion touch display for real-time data visualization and ensured seamless communication via RS485, Ethernet, and USB.
• Role: Developed backend firmware using MicroPython for data processing and logging. Designed the Nextion UI with Nextion Editor for real-time monitoring. Implemented 4GB data logging and IoT-based remote monitoring. Optimized system performance and ensured regulatory compliance.
• Outcome:Successfully deployed a fully functional, high-accuracy power quality analyzer. Improved real-time monitoring with an intuitive touch display UI. Enhanced data logging and remote access for efficient power analysis.

Theiox 2.0:

Advanced Asset Maintenance | Python, FastAPI, MongoDB

Description: IoT-based asset maintenance system that helps monitor equipment, predict failures, and reduce downtime. It uses FastAPI, Pydantic, and MongoDB to process and store real-time asset data.

Role: Developed the backend API using FastAPI for efficient and scalable data handling. Designed data models with Pydantic for structured validation and processing. Integrated MongoDB for real-time storage and retrieval of asset data. Built IoT data pipelines for real-time monitoring and predictive analytics. Implemented RESTful APIs to facilitate seamless communication between IoT devices and cloud infrastructure. Developed automated alerting and reporting mechanisms to enhance asset maintenance efficiency.

Reports | Python, FastAPI, MongoDB

Role: Worked on Theiox Reports, a reporting module focused on real-time IoT sensor data visualization and analytics. Developed backend APIs using FastAPI and MongoDB to fetch and aggregate telemetry data from devices connected via MQTT and TCP. Enabled users to generate customizable reports with filters for date range, device ID, and sensor type. Implemented export features (PDF, Excel, CSV) and integrated role-based access using JWT authentication. The reports included both tabular data and graphical trends for better decision-making.