Innovative Computer Science student at the University of Houston, specializing in ๐๐จ๐๐ญ๐ฐ๐๐ซ๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ข๐ง๐ , ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ , ๐๐ง๐ ๐๐๐ง๐๐ซ๐๐ญ๐ข๐ฏ๐ ๐๐. I am passionate about developing intelligent software applications and systems that automate processes, enhance usability, and boost efficiency, as showcased through my academics, projects, assistantships, and internship experiences in both domains.Here are some of my key achievements:๐ As an ML Research Assistant, I engineered a motion recognition system with Transformers and LSTM based models, achieving 95% accuracy in predicting construction workers' activity intentions in real-time.๐ Developed a full-stack performance monitoring application for INT using Node.js, MongoDB, and AWS, optimizing deployment time by 50% through CI/CD pipelines and Docker.๐ Collaborated to implement a Gen AI-powered medical report generator using computer vision and LLMs, enhancing diagnostic precision by 10%. ๐ถ๐๐ ๐๐๐๐ ๐๐๐ 2๐๐ ๐๐๐๐๐ ๐๐ก ๐กโ๐ ๐๐๐๐๐๐๐ ๐๐ข๐๐๐๐ ๐ด๐ผ ๐๐ก๐ข๐๐๐๐ก ๐โ๐๐ค๐๐๐ ๐ ๐๐๐ ๐กโ๐๐ ๐๐๐๐๐๐๐ก! (โ๐ก๐ก๐๐ ://๐ขโ.๐๐๐ข/๐๐ ๐/๐๐๐๐๐ข๐ก๐๐-๐ ๐๐๐๐๐๐/๐๐๐ค๐ -๐๐ฃ๐๐๐ก๐ /๐ ๐ก๐๐๐๐๐ /2024/0814-๐ ๐ข๐๐๐๐-๐ โ๐๐ค๐๐๐ ๐.๐โ๐)๐ Led a 3-member academic project to develop a cloud-based web application using React, Node.js, and AWS services, streamlining job application operations and increasing ATS screening accuracy to 90%.I am excited about opportunities where I can leverage my expertise in ๐ ๐ฎ๐ฅ๐ฅ ๐๐ญ๐๐๐ค ๐๐จ๐๐ญ๐ฐ๐๐ซ๐ ๐๐๐ฏ๐๐ฅ๐จ๐ฉ๐ฆ๐๐ง๐ญ ๐๐ง๐ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ to create smart and scalable AI-driven solutions that eliminate tedious tasks and bring value to businesses.โจ Interests: Watching Anime (currently watching One Piece - recommendations welcome!), Tech YouTube Videos (enjoy following the intense competition between Android and iOS devices - favorites: Marques Brownlee and Mr. Whose The Boss)๐ค Letโs connect! You can reach out to me at charan.gc7@gmail.com, or here on LinkedIn!Know more about me: ๐๐๐๐๐://๐๐๐๐๐๐๐๐๐๐๐๐๐.๐๐๐๐๐๐.๐๐/
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Ai EngineerRadix DataHouston, Tx, Us -
Ml Research AssistantUniversity Of Houston Sep 2024 - PresentHouston, Texas, United StatesCurrently, I am expanding the research by performing Data Acquisition using BiosignalsPlux wearable sensors for capturing muscle EMG sensor data and GoPro cameras to record videos of different activities. This expanded dataset, involving multiple subjects, is aimed at further improving the accuracy and robustness of the motion intention recognition system. -
Software Developer InternInt May 2024 - Aug 2024Houston, Texas, United StatesDuring my summer internship with INT, I worked on two key projects:โข In the first project, I improved a documentation website by integrating Elastic Lunr JS, Hugo library, and debouncing techniques, which reduced search latency by 10%. I also enhanced the overall UI with modern features like similar article recommendations and multiple theme support.โข In the second project, I developed a Node.js-based full-stack application using the MVC architecture to create a performance monitoring app with Express RESTful API, Puppeteer, MongoDB, and Chart.js, reducing redundant test runs by 90%. Additionally, I productionized the system with Docker, deployed it on AWS ECS with Fargate, and orchestrated CI/CD pipelines using AWS, reducing deployment time by 50%. -
Ml Research AssistantUniversity Of Houston Jan 2024 - May 2024Houston, Texas, United StatesI have conducted research with Prof. Kim Kinam to develop a motion intention recognition system using TensorFlow and PyTorch. The goal was to predict construction workers' intended actions at an early stage by classifying temporal data into eight different activity classes.โข One of my key contributions was implementing a Video Swin Transformer model to classify video sequences, and through transfer learning and hyperparameter tuning, I managed to boost the modelโs performance to 95% accuracy.โข I also built a combined 1D CNN and LSTM model to analyze high-frequency muscle movement patterns in sEMG sensor data, reaching 90% accuracy in predicting activity intention within a 0.1-second interval.โข On top of that, I applied techniques like sliding window transformation, low-pass filtering, and data augmentation, which improved the model's generalizability and led to a 5% increase in accuracy.Through this experience, I have honed my skills to develop deep learning models for multiple kinds of modalities.
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Graduate AssistantUniversity Of Houston Aug 2023 - Dec 2023Houston, Texas, United Statesโข Maintained and monitored test-taking technology, providing technical support to students by troubleshooting issues in the lab.โข Managed daily testing operations for over 500 students, ensuring adherence to testing standards.
Charan Gajjala Chenchu Education Details
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8.83/10
Frequently Asked Questions about Charan Gajjala Chenchu
What company does Charan Gajjala Chenchu work for?
Charan Gajjala Chenchu works for Radix Data
What is Charan Gajjala Chenchu's role at the current company?
Charan Gajjala Chenchu's current role is AI Engineer.
What schools did Charan Gajjala Chenchu attend?
Charan Gajjala Chenchu attended University Of Houston, Vellore Institute Of Technology.
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Charan Gajjala Chenchu
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