Siddharth Chaudhary
Summary
Dynamic Software Engineer with a proven track record at Airtel, where I developed an impactful expense chatbot for 15,000+ employees. Proficient in Python and machine learning, I excel in cross-functional collaboration and system design, driving efficiency and enhancing user experience through innovative solutions.
Overview
2
2
years of professional experience
1
1
Certification
Work History
Software Engineer Onsite
Airtel
07.2024 - Current
- Developed expense chatbot utilized by over 15,000 Airtel employees to streamline report creation.
- Implemented agent calling function using LLMs (Llama and GPT-4o-mini) to enhance user interaction.
- Designed scalable system architecture for seamless integration with existing expense systems.
- Collaborated with cross-functional teams to gather requirements and optimize chatbot performance.
Research Trainee
Defense Institute of Physiological and Allied Sciences (DIPAS)
Delhi
04.2023 - 07.2023
- Conducted research in machine learning and artificial intelligence utilizing sliding window approach.
- Developed an Android application for stress detection, enabling real-time monitoring of stress levels.
- Applied sliding window technique to analyze physiological data integrated with Android application.
Education
B.E - Computer Engineering
Thapar Institute of Engineering And Technology
Patiala06.2024
Class 12th -
Vandana International Sr. Sec. School
Delhi03.2020
Skills
- Python and C programming
- Java and Kotlin development
- R and RStudio analytics
- SQL database management
- JavaScript
- Data structures and algorithms
- Agent-based systems design
- Machine learning
- Android Studio and Spring Boot frameworks
- MATLAB for data analysis
- Version control with Git
- Tableau for data visualization
- Operating systems knowledge
Projects
Accident detection app - Android Studio, Kotlin, XML 02/2023 - 08/2023
- Developed a mobile application for detecting and reporting accidents using the phone's GPS and accelerometer
- Implemented user interaction prompts for accident confirmation, improving emergency response time
Bank marketing analysis - Python, Google Colab 09/2022 - 11/2022
- Built a machine learning classification project to predict if clients would subscribe to term deposits
- Compared multiple machine learning models to optimize prediction accuracy and performance
Certification
- Computer vision, Coursera, 04/01/23, recognizing shapes in images with OpenCV
- Data Structures and Algorithms, Coding Ninjas, 11/01/21
Timeline
Software Engineer Onsite
Airtel
07.2024 - Current
Research Trainee
Defense Institute of Physiological and Allied Sciences (DIPAS)
04.2023 - 07.2023
B.E - Computer Engineering
Thapar Institute of Engineering And Technology
Class 12th -
Vandana International Sr. Sec. School
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