Ishmam

Hi i am Ishmam.

Problem Solver

Passionate self taught Web Application Developer, Data Scientist, Ai Application Engineer focusing on topics such as :
🤖 Applications of LLMS & Multi Agent Architecture
💻📱 Full stack web and mobile application development
📊🩻 Data Science & Natural Language Processing

My Journey

Instructor

Arkansas Tech University

›Details

    • Delivered comprehensive lectures and hands-on training in Web and Mobile Application Development to a class of 30 students, focusing on the MERN stack (MongoDB, Express, React, Node.js), fostering full-stack development expertise.
    • Taught Advanced Python Programming, emphasizing practical applications using Flask and Django frameworks, equipping students with skills for scalable and dynamic web application development.
    • Conducted engaging sessions on Introduction to Networking, integrating foundational networking principles with real-world case studies to enhance conceptual understanding.
    • Designed and organized a Student Computer Club Hackathon, attended by diverse student teams, resulting in innovative project solutions and increased interest in applied technology.
    • Incorporated industry-relevant tools and methodologies, including Agile practices and version control (Git), to prepare students for real-world software development environments.

Software Engineering Intern

Gainwell Technologies

›Details

    • Designed and implemented API caching and key management system using Redis, reducing the total usage cost by 30% and streamlining key distribution across services.
    • Developed Gabby AI, a conversational agent built using PyTorch and Langchain, automating patient triage by analyzing symptoms, needs, and medical history to route calls to appropriate healthcare professionals.

Research Assistant (Machine Learning)

COSMOS

›Details

    • Developed and deployed a YouTube content discovery bot using transformer models (BERT) and Google’s Gemini model for automated narrative extraction from video transcripts. Implemented topic modeling algorithms to detect anomalous engagement, enhancing content moderation.
    • Engineered and deployed AI-driven content moderation solutions using Kubernetes for scaling, improving detection of harmful content, and enhancing user safety on digital platforms.
    • Led development initiatives that increased operational efficiency by 50% by introducing automated CI/CD pipelines and optimized data flow management across distributed systems.

Master of Science in Computer Science

University of Arkansas, Little Rock

›Details

    • Key Courses: Advanced Software Engineering, Information Visualization, Analysis of Algorithms, Artificial Intelligence
    • Solaiman, I., & Agarwal, N. (2024). Multiagent-based Youtube Content Discovery Bot. In Proceedings of the 2023 IEEE/ACM ASONAM '23 (pp. 450–453).
    • Solaiman, I., Agarwal, N., … (2024) Detecting and Characterizing Inorganic User Engagement on YouTube, In Proceedings of the 18th International AAAI Conference on Web and Social Media, CySoc 2024.

Full Stack Software Engineer I

Optimizely

›Details

    • Reduced average weekly bugs by 50% by implementing automated testing and code reviews, performing root cause analysis on recurring issues, and refactoring legacy code.
    • Led the full-cycle development of a GPT-3 powered Smart Content feature, integrating API-based content suggestions, optimized caching strategies, and performance monitoring, resulting in 600 daily active users over 6 months.
    • Improved marketing workflow efficiency by 40% by implementing a Redis caching layer, optimizing database queries, and compressing data payloads, significantly reducing page load times.
    • Increased code coverage to 90% on both backend and frontend by designing and implementing unit, integration, and end-to-end tests, ensuring high software reliability and maintainability.

Bachelor of Science in Computer Science

Brac University

›Details

    • Data Structures, Algorithms, Software Engineering, Computer Architecture, System Analysis and Design, Web Development, Android Development, Artificial Intelligence, Neural Networks, Natural Language Processing
    • Statistics, Calculus, Complex Variables and Laplace Transformations, Discrete Mathematics
    • Solaiman, I. (2022). X-Ray Classification to Detect COVID-19 Using Ensemble Model. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 2.