Ishmam A. Solaiman

    Hi i am Ishmam.

    Software Engineer|

    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

    2025 May
    2025 May - Present

    AI Solutions Architect

    University of Arkansas Little Rock
    • Designed and built a Graduate Assistant chatbot using Retrieval-Augmented Generation (RAG) to deliver context-aware responses over unstructured academic content.
    • Developed a real-time data ingestion pipeline with Google Drive integration and Pinecone vector store to keep knowledge sources automatically up-to-date.
    • Implemented advanced RAG techniques—multi-query retrieval, semantic query understanding, and optimized vectorization—for low-memory environments, boosting query throughput by 40%.
    • Containerized microservices in Docker and orchestrated deployments with Kubernetes, ensuring high availability and easy scaling.
    • Built a chat feedback tracking and analysis dashboard with React, TypeScript, and Shadcn UI, enabling data-driven improvements from user interactions.
    • Technologies: Python, FastAPI, Langchain, Ollama, Google Gemini API, FAISS, Pinecone, Supabase, React, TypeScript, Shadcn
    2025 Apr
    2025 Apr - Present

    CTO

    Researchbuddy AI
    • Developed a cross-platform mobile application with React Native and TypeScript, now serving 1,000+ active monthly users.
    • Architected and deployed a scalable backend on GCP & Firebase, achieving 99.9% uptime and auto-scaling to meet demand spikes.
    • Integrated Google Vertex AI and Gemini APIs to power virtual lab features—interactive experiment sims, AI-guided workflows, and real-time insights.
    • Designed and built custom AI agents for deep-search, topic brainstorming, and paper summarization, reducing research time by 50%.
    • Implemented analytics dashboards with Firebase Analytics & Google Data Studio to track user engagement and drive product roadmap decisions.
    • Technologies: React Native, TypeScript, Firebase, Google Vertex AI, Google Gemini API, GCP
    2024 Sep
    2024 Sep - 2025 Apr

    Instructor

    Arkansas Tech University
    • 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.
    2023 Apr
    2023 Apr - 2023 Aug

    Software Engineering Intern

    Gainwell Technologies
    • 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.
    2022 Sep
    2022 Sep - 2024 May

    Research Assistant (Machine Learning)

    COSMOS
    • 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.
    2022 Aug
    2022 Aug - 2024 May

    Master of Science in Computer Science

    University of Arkansas, Little Rock
    • 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.
    2021 Jan
    2021 Jan - 2022 Jul

    Full Stack Software Engineer I

    Optimizely
    • 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.
    2016 Sep
    2016 Sep - 2021 Apr

    Bachelor of Science in Computer Science

    Brac University
    • 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.

    My Projects

    Interviewer AI
    AI Application

    Interviewer AI

    A mock technical interview platform using Retrieval-Augmented Generation. Upload your resume and job description to simulate personalized interview sessions.

    Python
    Streamlit
    LangGraph
    LangSmith
    FAISS
    Docker
    Supabase
    OpenAI
    UALR Graduate School Chatbot
    AI Application

    UALR Graduate School Chatbot

    An AI-powered chatbot for the UALR Graduate Admissions Office, enabling prospective students to query program info and admissions details via natural language. Login Credenials: test@test.com password: test1234, You will require a GEMINI API Key

    Python
    React
    LangChain
    FAISS
    🔧RAG
    Docker
    Gemini
    Supabase
    LangSmith
    Cosmos
    Web Development

    Cosmos

    Cosmos research lab Website.

    React
    Next.js
    HTML
    CSS
    JavaScript
    Bootstrap
    UBlog
    Full Stack

    UBlog

    A social media website I built for my undergraduate web development course.

    React
    Node.js
    MongoDB
    Express
    Disinfectors Inc. Website
    Web Development

    Disinfectors Inc. Website

    A website I built for my failed disinfections service business that never took off.

    HTML
    CSS
    JavaScript
    Bootstrap
    Firebase
    GCP
    Feedme
    Mobile Development

    Feedme

    A mobile food ordering and delivery app built using Kotlin and Android Studio.

    Kotlin
    Android Studio

    Get In Touch

    Let's Connect

    I'm always open to discussing new opportunities, collaborations, or just having a chat about technology and innovation. Feel free to reach out!

    Email

    ishmam.solaiman@gmail.com

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