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Sahil Panjwani is listed as Computer Science Student | Aspiring Machine Learning & Quantum Computing Engineer | Experienced in LLMs, Computer Vision and Edge Computing | Passionate About Building Scalable AI & Quantum Solutions based in Tempe, Arizona, United States. AeroLeads shows a matched LinkedIn profile for Sahil Panjwani.
Sahil Panjwani previously worked as QA Intern at Cigniti Technologies and Computer Vision Intern at Flixstock. Sahil Panjwani holds Bachelor Of Science - Bs, Computer Science from Arizona State University.
As a passionate and driven Computer Science student, I am deeply fascinated by the realms of Machine Learning and Artificial Intelligence. I have actively explored these domains and gained hands-on experience through various projects. My expertise lies in areas such as Deep Learning, Computer Vision, and Diffusion Models, as well as programming languages like Python, Java,C,C++ and SQLI am enthusiastic about connecting with like-minded individuals who share the same passion and ambition to make a positive impact in the tech community
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Created and executed automated test scripts using Selenium WebDriver and Javafor a client’s website, enhancing testing efficiency.• Identified and documented over 50 bugs, contributing to the early detection andresolution of issues.• Collaborated with the development team to ensure the timely resolution ofidentified issues, improving overall software quality.
• Assisted in the Development of a LLM based web scraper used for scrapingtarget image data from any website , used for training Image generation Models• Integrated selenium functionality in the LLM scraper for sites involving dynamicJavaScript embedding, Henceforth improving the usability of the application by15%
Bengaluru, Karnataka, India
• Engineered a custom Python module to automate processing of heart rate data,replacing manual Excel processes; reduced data processing time by 80 hours permonth, enhancing data accuracy by 25%• brought forth new extraction statistical features for providing input for predictionmodels which improved the overall net model performance by 20%• Conducted extensive market research and brainstorming sessions to identifyinnovative methods for accurately predicting emotions from heart rate data andsports events; efforts led to a 15% improvement in predictive accuracy.• Developed improved and maintained a Sentient Analysis Machine Learning modelwhich was built using RNN and LSTM networks• Researched and brainstormed ideas for the structure of the RNN network andobtained a model accuracy of 83% on the accumulated user dataset• Did regular optimizations and modifications when new data and featureswere brought forth, reducing computational power by 5 %
Delhi, India
Designed a fully functional Facial Recognition-based Attendance System, getting animage recog accuracy of 90% on still images
Activities and Societies: Software Developer association (SODA), Machine Learning Club , Python Users Group, Engineering Projects.
Activities and Societies: Swimming, Volleyball, Badminton
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Sahil Panjwani is listed as Computer Science Student | Aspiring Machine Learning & Quantum Computing Engineer | Experienced in LLMs, Computer Vision and Edge Computing | Passionate About Building Scalable AI & Quantum Solutions.
Sahil Panjwani is based in Tempe, Arizona, United States.
Sahil Panjwani has worked for Cigniti Technologies, Flixstock, Fanplay Iot, and Keenheads.
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Sahil Panjwani holds Bachelor Of Science - Bs, Computer Science from Arizona State University.
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