Subhash Yadav
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Fourth-year Computer Science student passionate about building full-scale systems and AI/ML solutions. Experienced in
software engineering, contributing to open-source projects, and applying problem-solving, coding, and collaboration skills
through academic, personal, and professional work.
Education
University of Manitoba Expected Date of Graduation: December 2026
• Bachelor of Computer Science with a minor in Mathematics.
Relevant Courses: Artificial Intelligence 1, Machine Learning 1, AI Engineering Bootcamp, Software Engineering 2, Databases,
Distributed Systems, Operating Systems, Data Structures and Algorithms, Object-Oriented Programming, Analysis of
Algorithms, etc.
Technical Skills
• Advanced: Java, Python, SQL.
• Intermediate: JavaScript, C/C++, React.js.
• AI/ML: LangChain, LangGraph, VectorDatabase, Speech Recognition, LLM, NLP, RAG.
• Development Tools: Android Studio, Git, GitHub, and Visual Studio.
• Others: MongoDB, AWS/GCP, Docker, REST, Linux/Unix.
Work Experience
Software Engineer for AI Training Data Outlier, Remote
analysis…
detail.
May 2025 – Present
• Train, evaluate, and review AI models on Computer Systems & Networks, enhancing technical expertise and critical
• Collaborate with a global remote team on AI projects, strengthening communication, time management, and attention to
Projects
Voice Drive Q&A Chatbot 🔗 GitHub | LangChain, Pinecone, LangGraph, LLM, RAG September 2025
Personal Project
• Built a voice-enabled Q&A chatbot using LangChain, Speech Recognition, Pinecone, RAG, and LangGraph to manage
workflows and efficiently retrieve answers from uploaded documents.
• Learned to integrate large language models, vector databases, and workflow orchestration, enhancing skills in AI/ML
system design and conversational interfaces.
UStep App 🔗 GitHub | Java JDK, git, Android Studio, HSQLDB, Junit, Espresso January 2025 – March 2025
Software Engineering, University of Manitoba
• Built a self-contained Android app with Java and HSQLDB, implementing GUI and backend processing.
• Learned and applied Agile methodologies, Git version control, unit/integration testing with JUnit, automated UI testing
with Espresso, and improved database management, scalability, and overall app performance.
Database Project 🔗 GitHub | SQLite, MSSQL, Python September 2024 – December 2024
Introduction to Databases, University of Manitoba
• Developed a database system to manage media datasets, enabling users to perform SQL queries, search, filter, and
manipulate data through a user-friendly interface.
• Learned database management, SQL query optimization, and designing intuitive front-end interfaces for efficient data
interaction.
Experience Level
Work Experience
Education
Qualifications
Industry Experience
Experience Level
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