Hiresh Poosarla
Software Engineer Intern @ ContextQA
About
Computer Science & Applied Math @ UC Berkeley I'm a computer science and applied mathematics student at UC Berkeley (Class of 2028) with a strong passion for building scalable technologies and exploring the intersection of machine learning, ethics, and real-world impact. My experiences range from leading engineering projects at Visense to conducting advanced research in computational biology at UIUC and bias detection in AI at ASDRP. I've worked with cutting-edge tools—TensorFlow, PyTorch, SHAP, ROS, and more—to develop applications in areas like healthcare, education, and genomics. Some of my projects include: • Building an AI-powered triage bias detector using SHAP • Creating tools to visualize DNA mutations through interactive web apps • Designing a pipeline to convert lectures into automated slide decks for educators Let's connect if you're interested in AI/ML, ethical tech, or just want to geek out over research and innovation!
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United States
Computer Software
Amazon Web Services (AWS), Convertio, Cloudmersive, GroupDocs, Google Cloud Platform (GCP), Twilio, Assembly Language, SciPy, Scikit-Learn, SHAP, PyTorch, TensorFlow, GitHub, MATLAB, Flask, Go (Programming Language), Computer-Aided Design (CAD), OMPL, Robot Operating System (ROS), Node.js
Experience
Software Engineer Intern
ContextQA
• Integrated AI based video compression into the pipeline to reduce storage and transfer costs • Implemented an LLM-powered chatbot that provides test optimization using context.
Researcher
University of Illinois Urbana-Champaign
Urbana-Champaign Area
• Developed a React-based app for dynamic analysis and visualization of DNA sequences, mutations, and proteins. • Collaborated with professors and researchers to integrate computational tools into biological research
Software Engineer Intern
Visense Tech
Milpitas, California, United States
• Worked with a team of 6 contractors to integrate software with 10 sensor types, ensuring system compatibility. • Worked with hardware and software teams to deploy products, enhancing efficiency for small-scale farmers
Researcher
Aspiring Scholars Directed Research Program (ASDRP)
Fremont, California, United States
• Identified bias in the hospital triage system using SHAP and other ML techniques and published 2 papers • Presented at conferences such as SCCUR and NABT winning 2nd place at NABT • Created a prompt augmentation algorithm to decrease bias in Chat GPT using tree-of-thoughts techniques • Developed an algorithm for finding bias in housing costs across race
Software Development Intern
Knodemy Inc.
Fremont, California, United States
• Created machine learning algorithms to help students create classification models including sounds, images, and poses • Taught students how to make resumes, cover letters, discord bots and code with Chat-GPT and other open source APIs
Researcher
University of Rochester Electrical and Computer Engineering
Rochester, New York Metropolitan Area
• Collaborated with PhD students to implement computer vision techniques using Matlab to improve image comprehension • Created an algorithm to analyze the monolayer degradation of molybdenum disulfide in silicon photonics
Education
University of California, Berkeley
Mission San Jose High School
Hiresh Poosarla's Contact Information
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