
SriNithya G R
@srinithyagr
I'm a computer science student building Android, NLP, and machine learning solutions for real-world problems.
What I'm looking for
I've built a native Android app, Sante Price Index, at MindMatrix to track and analyze market price variations, using Generative AI for dynamic insights and user interactions.
I'm also developing a medical chatbot with Python, Rasa, and TigerGraph, and created an LSTM-Autoencoder model for real-time IoT anomaly detection.
Experience
Work history, roles, and key accomplishments
Medical Chatbot Developer
Natural Language Processing
Dec 2024 - Present (1 year 10 months)
Developed an interactive medical chatbot using NLP and Knowledge Graphs for diagnostic assistance, leveraging Rasa for dialogue management and TigerGraph for query mapping.
Android App Development Intern
MindMatrix
Feb 2026 - May 2026 (3 months)
Designed and developed Sante Price Index, a native Android app for tracking market price variations, integrating Generative AI for dynamic insights. Applied Design Thinking and managed technical documentation within an agile team.
IoT Anomaly Detection Developer
Natural Language Processing
Aug 2022 - Dec 2022 (4 months)
Developed an unsupervised deep learning model for anomaly detection in IoT networks using LSTM-Autoencoder, achieving real-time threat monitoring via reconstruction error thresholds.
Education
Degrees, certifications, and relevant coursework
S.J.C. Institute of Technology
Bachelor of Engineering, Computer Science and Engineering
Grade: 8.30
Pursuing a Bachelor of Engineering in Computer Science and Engineering with a CGPA of 8.30, expected to graduate in 2026.
SBGNS Rural Comp PU College
Pre-University, PCMB
Grade: 71.5%
Completed pre-university education in the PCMB stream with 71.5%.
BGS Rural English School
SSLC, General
Grade: 92.8%
Completed SSLC (state board) with 92.8%.
Availability
Location
Authorized to work in
Portfolio
github.com/SrinithyaaaSalary expectations
Social media
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