Ilesanmi Oluwasijibomi Software Engineer — Backend & ML Systems
Profile

Software engineer with production backend experience and independent ML systems work — building deep learning infrastructure from scratch, transformer models, and model-routing systems. Interested in ML research and engineering roles alongside backend/systems work.

Professional Experience
Software Engineer, clive AI⁠
May 2025 – Present
  • •Led backend engineering for an AI-powered hiring platform, owning system architecture, APIs, and data models.
  • •Designed and optimized AI retrieval and ranking pipelines, reducing candidate scoring latency by ~40% and improving overall pipeline throughput.
  • •Automated resume screening and candidate shortlisting, cutting recruiter review time by ~2–3×.
    • Fullstack Engineer, Nject
    Sep 2024 – May 2025
  • •Built frontend features with Next.js for a democracy and politics platform, improving user engagement and accessibility.
  • •Contributed to migrating backend infrastructure from Python to Golang, achieving a 5× improvement in performance.
  • •Improved system scalability and response times to support a rapidly growing user base.
    • Software Engineer (Intern), Chamsaccess PLC
    Jan 2023 – Jul 2023
  • •Led frontend development for the BOS web platform, improving user experience and complaint management workflows.
  • •Implemented a modern stack using TypeScript, React, and C# (.NET), improving page load speed by 40% and reducing server response time by 20%.
    • Projects
    Pico, Deep Learning Framework in C (Personal Research Project)
    Jun 2026 – Present
  • •Built a deep learning framework from scratch in C, including a reverse-mode autograd engine (topological sort over the computation graph), custom tensor operations, and full backward-pass implementations
  • •Designed a four-layer architecture (nn blocks / autograd graph / tensor ops / kernels) with an arena allocator for memory management and runtime kernel dispatch via CPUID
  • •Trained a multi-layer perceptron end-to-end through the framework, validating the full forward pass, backward pass, and optimizer pipeline
  • •Built without any ML libraries — implementing the internals (autograd, memory layout, kernel dispatch) that frameworks like PyTorch abstract away
    • Scholic⁠, Social annotation platform for the web
    May 2026 – Present
  • •Built and shipped a full-stack platform letting users highlight and annotate any webpage, with a social layer to follow other readers' annotations — acquired real users
  • •Built a Chrome extension for in-browser annotation, a Go REST API backend, React frontend, and Postgres for storage
  • •Self-hosted the deployment with a custom CI pipeline, handling infra end-to-end (no managed platform)
    • Kairo LLM Router, Personal Research Project
    Jul 2026 – Aug 2026
  • •Designed a CPU-efficient model router (~50-70M params) for LLM selection, using MiniLM-L6-H384 encoding + custom transformer layers + scoring head.
  • •Trained on RouterBench, SPROUT, and LLMRouterBench to route prompts by cost/speed/quality tradeoffs.
  • •Built for deployment as a Go/TypeScript library with safetensor export.
    • Manu, AI Assistant with Real-World Task Execution
    Aug 2026 – Present
  • •Building a cross-platform AI text assistant (iMessage- and Telegram-first) that can execute real-world tasks on the user's behalf
  • •Implemented working transactional integrations, including food ordering via Chowdeck and ride-hailing via Uber
  • •Currently running a private beta with a small group of friends to test real-world usability
    • Skills
    Programming Languages: Go, TypeScript, C/C++, Rust, PythonML/Systems: Deep learning fundamentals (autograd, backpropagation, tensor operations), PyTorch, CUDA, transformer architectures, neural network training from scratchDevOps: Docker, GitHub ActionsCloud Services: AWS (primary), GCP, AzureLinux Operating System: Linux, POSIX, shell scriptingBackend & Systems: REST APIs, GRPC, distributed systems, performance optimization
    Education
    Bachelors in Software Engineering, Babcock University
    Jan 2020 – Jul 2024 | Nigeria

    Relevant Coursework

    Artificial Intelligence, Operating Systems, Linux Systems, Database Management, Human-system Interaction, Data Structures and Algorithms, Programming Languages

    Ilesanmi Oluwasijibomi