Joshua Kalu

Former Student @ UTCN | Arkwright Scholar | Co-founder @ GCSE Log | Aspiring Software Developer

Norwich, England, United Kingdom

About

Hey there! 👋🏿 My name’s Josh – I’m a 18 year old aspiring Software Engineer, currently studying A Levels in Maths, Physics, and Computer Science at University Technical College Norfolk. I’m also an Arkwright Engineering Scholar; this is a prestigious scholarship that recognises the best young engineers in the UK, providing them with a financial bursary, mentorship, and various other benefits. At GCSE, I achieved 5 Grade 9’s, 4 Grade 8’s and a Level 2 Distinction Star in Engineering. Away from school, I volunteer at my local Church as the Technical Lead & Sound Engineer, managing the creative, media and technical departments while controlling sound to ensure an enjoyable experience for in house visitors, and online members. I’m looking forward to networking with likeminded Technical Professionals on Linkedin, and open to any work experience or internship opportunities, specifically in Software/Web Development, or in the wider Computer Science sector!

Experience

  • Co-Founder at GCSE log
    Feb 2025 - Present · 1 yr 6 mos

    Working on a collaborative resource created by students, for students, across the country. By promoting open-source materials, we aim to provide students from all backgrounds with the tools they need to achieve their highest potential. Designed, developed and shipped the final site @ gcselog.com

  • Private Tutor at Freelance
    Sep 2024 - Present · 1 yr 11 mos

    - Delivered tailored tutoring sessions for students up to GCSE and A Level, adapting teaching methods to suit individual learning styles. - Specialised in STEM subjects, including Mathematics, Physics, and Computer Science, breaking down complex syllabus topics to improve student comprehension and exam readiness. - Facilitated both intensive one-to-one mentoring and dynamic group sessions for classes of up to 20 students, maintaining high engagement and effective classroom management. - Assessed student progress through regular feedback and mock examinations, identifying knowledge gaps to build confidence and boost academic performance.

  • Technical Lead & Sound Engineer (Volunteer) at RCCG The Chapel Outreach Norwich
    Aug 2020 - Present · 6 yrs

    - Engineered and deployed the charity’s website using modern web technologies, implementing SEO strategies and UI/UX improvements that drove a 6000% increase in traffic and a 5% increase in Click-Through Rate (CTR). - Architected and maintained integrated audio-visual and livestreaming pipelines, configuring hardware/software workflows to deliver reliable real-time broadcasting for weekly services and large-scale events (300+ attendees). - Led and trained a team of volunteers on technical operations, developing standardised Standard Operating Procedures and workflows that improved operational efficiency and reduced system errors. - Served as the primary technical lead for live and in-house production, diagnosing and resolving critical hardware and software faults under strict time constraints to ensure service continuity and minimal disruption.

  • Head Student at University Technical College Norfolk (UTCN)
    Sep 2025 - Jun 2026 · 10 mos

    - Delivered presentations to large audiences, including over 2,000 attendees at Open Evening events and 150+ guests at the college's 10-year anniversary. - Directed the Student Leadership Team, serving as the primary liaison between the student body and the Senior Leadership Team. - Represented the college at various external events and high-level meetings, including the Industry Liaison Group and the Baker Dearing Awards - Coordinated the planning and execution of major end-of-year events.

  • AI/ML Intern at TGS | 4C
    Jul 2025 - Aug 2025 · 2 mos

    This was an internship gained through The Ogden Trust, as part of their Coastal Energy Internship programme. - Evaluated an existing Retrieval-Augmented Generation (RAG) pipeline for structured port data, diagnosing performance bottlenecks in vector database ingestion and improving prompts to standardise JSON outputs. - Developed a comprehensive evaluation framework to benchmark Claude Sonnet 4 vs GPT-5 mini, adapting confusion matrices to calculate accuracy, precision, recall, and F1 scores against curated "Gold Standard" datasets. - Conducted decisive research that supported a company-wide migration from o3 to optimised models, resulting in an 87.5% reduction in inference costs without compromising output quality. - Identified hallucinations and retrieval errors, recommending engineering solutions including automated test harnesses, advanced prompting, and dynamic website filtering to improve long-term pipeline stability.