About Me
I'm Ishaan Chadha, a senior at UC San Diego majoring in Mathematics and Computer Science, with a focus on machine learning, computer vision, and natural language processing. My work centers around using AI to solve real-world problems, from building web scrapers and chatbots to developing machine learning models that optimize recommendations. I'm particularly passionate about using cloud computing, CNNs, and data-driven techniques to innovate and drive progress in AI. Currently, I'm delving deeper into AI-driven solutions, always looking to tackle new challenges and push the boundaries of technology.
Experience
UC San Diego Computer Science and Engineering
CSE Tutor
Conducted review sessions, and facilitated office hours for over 400+ students, boosting exam performance.
Collaborated with faculty on curriculum development & addressed 200+ student inquiries, enhancing the learning community.
NeuroML Lab, Department of Cognitive Science, UCSD
Undergraduate Researcher
Co-authored a Research Paper submitted to ICLR 2025 that introduces a novel framework for modeling the human visual system by comparing Task-Optimized, Large Language, and Response-Optimized Models.
Developed the Semantic Spatial Transformer readout mechanism, presented in the paper, which achieved a 30% increase in prediction accuracy across the visual cortex, setting a new standard in the field.
Bajaj Capital Limited
Design Thinking Intern
Gained deep insights into the company's product and service development processes, playing a key role in crafting Bajaj Capital's innovative retirement tool by collaborating with cross-functional teams.
Actively reached out to customers to assess their needs and conducted thorough competitive analysis, ensuring our product stood out, while also enhancing its functionality to meet user expectations intuitively.
World Salon
Software Engineering Intern
Developed web scrapers using Selenium and BeautifulSoup to extract 5,000+ speaker profiles, integrating OpenAI’s API to adapt to website layout changes, ensuring consistent and accurate data extraction.
Engineered a keyword generation tool with OpenAI’s API to convert speaker profiles into searchable keywords, boosting speaker recommendation accuracy by 40% and reducing manual filtering time by over 50%.
Utilized scikit-learn and spaCy for NLP preprocessing, achieving a 35% precision improvement in profile matching through entity extraction and profile keyword generation with Named Entity Recognition (NER).
Developed an unsupervised speaker-event matching model with 85% accuracy, combining Word2Vec embeddings with Sentence Transformers and Deep Contextualized Embeddings for semantic alignment between speakers & event topics.
Designed a PostgreSQL database with 10,000+ entries of speaker and topic data to support the event planning pipeline.
Bajaj Capital Limited
Software Engineering Intern
Mapped user engagement patterns across 200+ website pages, leveraging design thinking methodologies; findings directly informed promotional strategies that enhanced product visibility and increased user interaction by 40%.
Worked on cloud computing using AWS (EC2, SES, ELB) to streamline operations and improve system scalability.
Designed and executed an innovative authentication framework leveraging Sequelize, Node.js, and MySQL; enhanced security measures reduced unauthorized access attempts by 50% and streamlined user login processes for 5,000+ active users.
Mar 2024-Present
Mar 2024-Dec 2024
May 2022-Sept 2022
May 2024-Sept 2024
Apr 2021-Jun 2021
UC San Diego
Tutor - Mathematics and Economics
Guided students in problem-solving by addressing their questions on course concepts and practice problems.
Assisted students in developing course-specific learning skills by offering tailored academic support.
Enhanced interpersonal and communication skills while creating a welcoming and inclusive environment for students.
Jan 2023-Dec 2024
Tip Top Technologies
Software Engineering Intern
Currently developing a feed matching algorithm to match users to different AI products on the platform.
Nov 2024-Present
MixLab, Halıcıoğlu Data Science Institute, UCSD
Undergraduate Researcher
Currently designing synthetic video datasets using Blender and OpenCV, enabling precise evaluation of Vision-Language Models (VLMs) on motion recognition and speed differentiation tasks under controlled environmental factors.
Nov 2024-Present
About Me
I'm Ishaan Chadha, a senior at UC San Diego majoring in Mathematics and Computer Science, with a focus on machine learning, computer vision, and natural language processing. My work centers around using AI to solve real-world problems, from building web scrapers and chatbots to developing machine learning models that optimize recommendations. I'm particularly passionate about using cloud computing, CNNs, and data-driven techniques to innovate and drive progress in AI. Currently, I'm delving deeper into AI-driven solutions, always looking to tackle new challenges and push the boundaries of technology.
Experience
UC San Diego
Undergraduate Teaching Assistant: Computer Science, Math & Econ
Conducted tutoring, and review sessions, and facilitated office hours, improving student comprehension and exam performance.
Collaborated with faculty on curriculum development and addressed student inquiries, enhancing the learning community.
NeuroML Lab, Department of Cognitive Science, UCSD
Undergraduate Researcher
Employed Artificial Neural Networks to analyze processes within the brain's visual cortex, uncovering inherent biases in distinct visual streams and enhancing understanding of neural coding mechanisms.
Developed, trained, and tested CNN models on diverse datasets to simulate visual information processing to design experimental protocols that yield significant insights into visual cognition and neural decoding.
Bajaj Capital Limited
Design Thinking Intern
Gained deep insights into the company's product and service development processes, playing a key role in crafting Bajaj Capital's innovative retirement tool by collaborating with cross-functional teams.
Actively reached out to customers to assess their needs and conducted thorough competitive analysis, ensuring our product stood out, while also enhancing its functionality to meet user expectations intuitively.
World Salon
Generative AI Intern
Engineered a highly efficient web scraper using Selenium and BeautifulSoup to extract professor data from academic websites, enhancing scraping efficiency and data accuracy by 40% by leveraging optimized XPath queries and concurrent requests.
Integrated OpenAI’s API for keyword extraction and optimized data retrieval processes increasing result accuracy by 30%.
Constructed an advanced machine learning algorithm to evaluate speaker expertise across specific topics, improving the accuracy of speaker recommendations by 60% and streamlining the selection process for event organizers.
Bajaj Capital Limited
Cloud Computing and Web Development Intern
Mapped user engagement patterns across 200+ website pages, leveraging design thinking methodologies; findings directly informed promotional strategies that enhanced product visibility and increased user interaction by 40%.
Worked on cloud computing using AWS (EC2, SES, ELB) to streamline operations and improve system scalability.
Designed and executed an innovative authentication framework leveraging Sequelize, Node.js, and MySQL; enhanced security measures reduced unauthorized access attempts by 50% and streamlined user login processes for 5,000+ active users.