Edidox
AI-powered education tooling built as a full-stack product, from OCR and AI workflows to authenticated APIs.
View project Open to AI/ML & software opportunities
Researches.
Builds. Ships.
I'm Mohan Sharma, an AI/ML Engineer and Software Engineer building intelligent systems at the intersection of machine learning, software engineering and real-world problems.
Based in Scotland, UKAI / ML · SOFTWARE · RESEARCH
MSBUILD / 01
01Researchquestion → signal
02MLmodel → measure
03EngineeringAPI → product
04Impactuseful → shipped
CURRENT SIGNAL
Turning careful experiments into useful, maintainable systems.
↗ 04 / 0401 / Selected work
Small set.
Strong signal.
A curated selection of product, research and applied machine learning work. Quality over repository count.
Pyari
An AI-powered mobile application exploring the path from useful model capability to a focused product experience.
View projectAMR / MobileNetV2
Deep-learning research into antimicrobial resistance classification from microscopy imagery.
View projectRAG + evaluation lab
A reserved space for a retrieval system with measurable grounding, retrieval quality and hallucination checks.
View projectMLOps pipeline
A future home for reproducible training, model versioning, deployment and monitoring work.
View projectFraud detection
A practical classification study focused on patterns in credit card transaction data.
View projectObject detection API
Computer vision inference exposed through a lightweight web application and API workflow.
View projectRecommendation systems
Explorations in turning behavioural and catalogue data into useful recommendations.
View project02 / Research focus
Making AI
measurable.
My research interest sits where machine learning meets problems that matter. The AMR work explores deep learning for antimicrobial resistance classification from microscopy imagery — a technical challenge with a clear human context.
Read the research01Microscopyimage data
02MobileNetV2deep learning
03Evaluationevidence first
AMR / DEEP LEARNINGRESEARCH NOTE
03 / About
Engineer with a
research habit.
I build across the stack: from data and model experiments to backend APIs and product interfaces. That range helps me ask better questions — not just whether a model works, but whether it can be understood, evaluated and used.
My work spans AI/ML, software engineering, data science and practical product development. I'm currently focused on building a portfolio of honest, useful systems that move beyond the notebook.
04 / How I work
01
Build
Turn ideas into working systems, not just impressive notebooks.
02
Measure
Evaluate models and product decisions instead of assuming they work.
03
Explain
Make intelligent systems understandable, testable and responsible.
04
Ship
Move from experiment to maintainable software with clear edges.
05 / Contact
Have a hard problem
worth building?
I'm interested in AI, machine learning, research and building software that is genuinely useful.
Start a conversation