
Sai Siddartha
@saisiddartha
Aspiring software engineer focused on AI and machine learning; built a ZigBee gas and fire monitoring system with 97% alert reliability.
What I'm looking for
My ZigBee-based Gas & Fire Monitoring System combined Arduino, sensors, and wireless communication to provide real-time monitoring and alerts. It triggered alarms and exhaust fans, achieving 97% alert reliability with low false alarms.
I also developed VideoTranscriptSummarizer, a Flask application that uses Python and NLP to extract key topics and generate concise summaries from video transcripts. It supports transcript uploads and real-time summary generation.
During my Data Science/Machine Learning internship at ExcelR Edtech Pvt. Ltd. (in collaboration with APSCHE), I gained practical experience in data preprocessing, model development, and evaluation using Python-based ML tools. I'm interested in building useful, scalable solutions and continuing to learn AI and machine learning.
Experience
Work history, roles, and key accomplishments
Data Science/ Machine Learning Intern
ExcelR Edtech Pvt. Ltd.
May 2025 - Jul 2025 (2 months)
Completed a short-term internship focused on Data Science and Machine Learning fundamentals and real-world applications. Gained practical experience in data preprocessing, model development, and evaluation using Python-based ML tools.
Education
Degrees, certifications, and relevant coursework
Srinivasa Ramanujan Institute of Technology
Bachelor's, Computer Science and Engineering (Data Science)
2022 -
Grade: 6.8/10.00
Pursuing a Bachelor's degree in Computer Science and Engineering with a focus on Data Science.
Narayana Junior College
Intermediate, MPC
2020 - 2022
Grade: 6.4/10.00
Completed Intermediate education with a focus on Mathematics, Physics, and Chemistry.
Sri Chaitanya School
SSC, General
Grade: 10/10
Completed Secondary School Certificate (SSC).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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