Mohammed Vasim
AI & Machine Learning Engineer
AI and Machine Learning Engineer, Designing and Building practical AI automation for real business workflows.
Connect with me on LinkedIn
I am very happy to share My Introduction!
Senior AI Engineer with experience in **Agentic AI**, **LLM-driven automation**, and **AI system design** for enterprise ERP environments. Skilled in architecting scalable AI workflows, building intelligent agents, integrating cloud-native infrastructure, and fine-tuning open-source LLMs for production.
Proven ability to deliver **end-to-end AI solutions** — from dataset creation and model training to deployment, monitoring, and optimization. Passionate about creating intelligent autonomous systems that improve productivity and business decision-making.
I work as an AI and Machine Learning Engineer, building
intelligent systems that have to survive real constraints —
business logic, latency, cost, and long-term maintainability. My
work centers on agentic AI and LLM-driven automation, designing
systems that are expected to reason, act, and adapt inside
enterprise environments rather than exist as isolated demos.
Over the years, I’ve worked across the full lifecycle of AI
systems, from framing ambiguous problems and preparing datasets
to fine-tuning open-source language models and deploying
production workflows where reliability matters more than
novelty.
I didn’t arrive here through a traditional engineering path. I
come from a commerce background, having completed a Bachelor of
Commerce with a specialization in computers, and that transition
strongly shaped how I think. I care deeply about clarity,
fundamentals, and usefulness, and I’m less interested in
buzzwords than in understanding why systems behave the way they
do — especially when theoretical ideas meet real-world
constraints. Technically, my work is grounded in Python,
building backend services with FastAPI and Flask, working with
PostgreSQL and MySQL, and using tools like Redis and Docker to
make systems scalable and reproducible. Much of my current work
involves agentic architectures that use tools, memory, and
structured reasoning to automate complex ERP workflows.
Alongside engineering, I write. Writing helps me slow down and
understand ideas properly — from self-attention and model
efficiency to architectural trade-offs and the limits of current
agentic systems. This portfolio is a public notebook where I
document my thinking, experiments, and lessons as they evolve
over time. Professionally, I’m moving toward deeper
research-oriented thinking while staying grounded in systems
that actually ship, with a long-term interest in building
intelligent products and ventures at the intersection of
research, engineering, and practical impact.
This page isn’t meant to be complete or final. It will change as
my work changes. That’s intentional.
If you’d like to see what I’m building or thinking about, the
rest of this site is a good place to start.