Los Angeles Machine Learning

ADITYA SHYAM JAISWAL

Los Angeles, CA ***** 213-***-**** ********@***.*** linkedin.com/in/adityajaiswal10/ github.com/AdityaJaiswal1010 EDUCATION

Master of Science in Computer Science, University of Southern California, GPA: 3.85/4.0 Aug 2024 – May 2026

• Relevant Coursework: Analysis of Algorithms, Database Systems, Artificial Intelligence, Information Retrieval and Web Search Engines Bachelor of Engineering in Computer Engineering, University of Mumbai, GPA: 9.04/10 Aug 2020 - Jun 2024

• Relevant Coursework: Data Structures & Algorithms, Operating Systems, OOP, Computer Architecture, Cryptography, Statistics, Network and Information Security, Cloud Computing, Computer Network, Natural Language Processing, Distributed Computing SKILLS & CERTIFICATIONS

• Skills: Deep Learning, Computer Vision, Generative AI, Data Science, System Design, Problem-Solving, LLM, RAG, Mobile & Web Development, Langchain, web services, full stack development, PyTorch, Linux, Machine Learning, Hive, BigQuery, UIWebKit, Data Analytics, Data Engineering

• Languages & Frameworks: Python, Java, C/C++, Dart, JavaScript, TypeScript, Swift, C#, Scala, React, Flutter, AngularJS, Node.js, Django, Flask Express.js, GraphQL, Apache Spark, Prisma, Scrum, Agile, Ruby, Go, HTML, SEO, Vue, Bash, CSS, Rust, PHP, NextJS, OAuth, Groovy, Bitbucket

• Databases & Cloud: MongoDB, MySQL, PostgreSQL, Cassandra, Redis, Snowflake, Oracle, Relational Databases, AWS, GCP, Azure, Docker, Kubernetes, Jenkins, Virtualization, DevOps, PowerBI, debugging, Spring, Multi-Threading, Troubleshooting, Jira, Git, MapReduce, Data modelling EXPERIENCE

Graduate Research Assistant, USC M.C. Gill Composites Center, USA Nov 2024 – Present

• Developed a U-Net model in TensorFlow Keras for carbon fiber void detection, achieving 99.67% accuracy, improving aerospace analysis

• Automated image analysis pipeline with OpenCV and data augmentation, making processing 70% faster and reducing manual effort

• Integrated GAN-based approach, generating synthetic image scans to eliminate limited data issues & improve segmentation precision Software Engineer Intern, Aiir Technologies and Services Pvt. Ltd, India Oct 2022 – Jul 2023

• Enhanced Oracle database performance with advanced indexing and SQL query optimizations, cutting data retrieval time by 28%

• Deployed 15+ Rest API on Cloudflare using Golang & Typescript, strengthening CRM functionalities with backend hosted on EC2

• Established a CI/CD pipeline via GitHub Actions and leveraged AWS Lambda for role-specific data prefetching, improving efficiency

• Integrated Kafka & RabbitMQ for real-time event streaming between microservices, reducing message queue latency by 42% Software Algorithms Intern, TEN AI Labs, India Nov 2021 – Feb 2022

• Built algorithmic models using decision trees, tries, & time series analysis in Python, achieving 96.78% accuracy in market forecasting

• Engineered Kubernetes for scaling with NGINX as a reverse proxy, enhancing load balancing, routing efficiency, and scalability

• Developed an AI agent with a token-based web crawler for stock data retrieval, ensuring structured and efficient stock tracking Software Application Developer, SAKEC, India Jan 2021 – Apr 2021

• Devised a fitness tracking app with an offense-checking algorithm in Java & Kotlin, using phone sensors & GPS for real-time tracking

• Executed automation testing with JUnit (integration & unit test) and managed Azure DB, ensuring robust quality and performance

• Developed a biometric authentication module in iOS using Swift and Xcode, integrating Touch ID with Keychain Services and leveraging UIKit for a seamless user interface

PROJECTS

Multi-Agent Game Strategy & Path Optimization- University of Southern California GitHub Jan 2022 - Present

• Designed a multi-agent AI system using Genetic Algorithms for pathfinding, optimizing decision-making in a dynamic environment

• Constructed a game-playing AI utilizing Reinforcement Learning with Alpha-Beta Pruning from scratch, enabling anticipation of opponent moves and executing optimal strategies

SmartDocs - NFC-based offline educational verification software Oct 2022 - May 2024 Key Achievement: Approved by 4 leading Indian universities GitHub

• Built an NFC-based educational record verification system using Dart & Java, ensuring ISO compliance & reducing verification time

• Implemented a lock-based writing protocol restricting data entry to authorized users, preventing duplicates & ensuring data integrity

• Crafted a 3-layer ciphered algorithm, achieving 84.4% data compression while making system tamper-proof against hardware fraud. AceAI - AI-based Smart Entrance Preparation Platform Aug 2023 - May 2024 Key Achievement: Copyright (L-153357/2024, diary no. 20384/2024-CO/L)

• Developed an AI-driven test platform using Python, AngularJS, Flutter, Mongo, and NodeJS, leveraging AWS S3 and Lambda

• Integrated personalized question sets with confidence & SWOT analysis, enabling adaptive insights & decision-making

• Assembled an MLOps pipeline with ZenML and implemented CatBoost for adaptive question difficulty, achieving 94.27% accuracy Pratishtha - Android Application Nov 2022 - Apr 2023 Key Achievement: 3000+ peak downloads — Play store GitHub

• Led a team of 10 to build a fest app & website using Dart, JavaScript, and ReactJS, managing real-time updates, leaderboards, user profiles, and sponsorships, while processing 1.3M+ Firebase queries daily with 1,000+ users testing

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