I

Isaiah Love

About

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Oakland, California, United States

Timeline

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Résumé

Jobs verified_user 0% verified
  • F
    Al Fellow
    Fellowship.Al
    Oct 2024 - Dec 2024 (3 months)
    • Collaborated on research project applying causal inference techniques to publicly available retail datasets, focusing on deriving insights into key performance indicators such as sales losses, product performance, and customer behavior
    • Developed causal graphs to uncover cause-and-effect relationships, allowing for in-depth competitor analysis and actionable insights for retailers
  • D
    Senior Software Engineer
    Dz9 Systems
    Jan 2022 - Current (4 years 10 months)
    • Architected and delivered scalable backend systems using Node.js, MongoDB, and distributed system design principles, enabling high-performance APIs and data pipelines while improving system reliability and reducing latency by over 30% across multiple enterprise and startup client applications
    • Led backend architecture decisions including API design, data modeling, and cloud deployment strategies, ensuring production-ready systems with strong maintainability, improving development velocity by 25% through optimized workflows and standardized engineering practices
    • Built and optimized NoSQL data models in MongoDB, implementing indexing and query optimization techniques that improved response times by 40% and ensured data integrit
  • Plaid
    Software Engineer
    Plaid
    Oct 2021 - Jan 2023 (1 year 4 months)
    • Engineered scalable backend data pipelines and services using Node.js, distributed systems, and advanced data modeling techniques, processing over 100 million data points daily while improving system performance and data reliability
    • Designed and optimized database schemas and queries across MongoDB and relational systems, achieving a 40% reduction in data processing time and significantly enhancing query performance through indexing strategies
    • Built robust REST APIs supporting fintech applications, ensuring high availability and secure data handling while maintaining strict data integrity across distributed systems
  • P
    Software Engineer
    Pure Match
    Mar 2020 - Oct 2021 (1 year 8 months)
    • Architected and implemented backend systems using Node.js, REST APIs, and MongoDB, supporting a scalable dating platform with over 5,000 users while ensuring performance, reliability, and maintainability across services
    • Designed secure and scalable API architectures handling authentication, messaging, and subscription workflows, improving user engagement and retention by 34% through optimized backend logic
    • Built and optimized NoSQL data models with MongoDB, applying indexing and query optimization techniques to improve system responsiveness and support increasing user activity
    • Developed distributed backend services supporting real-time interactions and asynchronous workflows, ensuring consistent performance across gro
  • capital.com
    Software Engineer
    capital.com
    May 2019 - Nov 2020 (1 year 7 months)
    • Played a key role in creating Investmate, an educational app for new traders, achieving over 1M downloads
    • Developed interactive courses, quizzes, videos, and a goal-based user journey, resulting in a 50% improvement in knowledge retention and a 35% increase in daily active users
    • Collaborated with financial experts to ensure accurate, relevant educational content, strengthening user trust and app credibility
Education verified_user 0% verified
  • AWS
    AWS Certified Solutions Architect - Foundational
    AWS
    Mar 2023 - Current (3 years 8 months)
  • San Francisco State University
    B.S in Computer Science
    San Francisco State University
    Jan 2016 - Jan 2020 (4 years 1 month)
Projects (professional or personal) verified_user 0% verified
  • Sentiment Analysis Model Using LSTM
    • Developed a sentiment analysis model using Long Short-Term Memory (LSTM) networks in Python to analyze the emotional tone of textual data
    • Built and trained an LSTM model using Keras and TensorFlow for accurate sentiment prediction
  • Al Voice Assistant Tool
    • Integrated advanced speech recognition and response capabilities using Python, OpenAl's GPT-3, Google's Text-toSpeech (gTTS), and speech recognition libraries
    • Simplified daily tasks through voice commands, enhancing accessibility and interactivity
  • Role Playing Autonomous Agents
    • Developed a foundation for employing Al agents to accomplish real-world tasks
    • Utilized Streamlit framework for an interactive user interface, simulating dynamic conversations between Al agents