I turn messy problems into systems people can actually use.
Not just what I build. How I think.
I am a Computer Science graduate specializing in AI and Machine Learning, but my core focus goes beyond writing code. I am interested in the intersection of business needs, product thinking, and AI-accelerated workflows.
Most software solves the workflow, but not the underlying problem. I focus on understanding ambiguous requirements, conducting thorough business analysis, and designing systems that actually create value.
Whether it's prototyping a new AI product, mapping complex business processes, or automating tedious operations, I leverage AI as a force multiplier to turn messy ideas into structured, functional reality.
Selected work.
AstraWork
An AI-powered talent matching system that understands candidates through deep evidence (Resume, GitHub, Projects, Experience) instead of relying only on basic keyword matching.
Thodar AI
An AI-powered sales assistant tailored for e-commerce, designed to understand customer intent and provide contextual product recommendations.
AVVAI
An interactive AI learning companion specifically designed for LKG/UKG children, focusing on age-appropriate engagement and curriculum integration.
Rahman CRT Monitor
A real-time crypto trading signal monitor that scans for specific CRT patterns across multiple coins and timeframes.
WATCHSYNC
A universal video-progress tracking Chrome extension that maintains persistent session tracking across different platforms.
Ideas I couldn't leave alone.
Explorations, prototypes, and concepts that didn't need to be full products, but were too interesting not to build.
AI WORKFLOW
Automated PR reviews with LLMs
AUTOMATION
Discord bot for server management
PRODUCT CONCEPT
Spatial UI for document analysis
INTERACTION
Magnetic physics in web UI
DATA EXPERIMENT
Visualizing 10k data points
Things I'm thinking about.
Why job boards are fundamentally broken.
The current hiring system optimizes for keywords rather than capability, creating a lose-lose situation for both companies and candidates.
Why people shouldn't be reduced to keywords.
Resumes are a compressed format. When we filter them by keywords, we lose the context of how a person actually solves problems.
How AI changes product development.
AI isn't just a feature to add to existing products. It fundamentally changes the cost structure of building software and exploring ideas.
Building useful products with tiny teams.
With AI-accelerated workflows, a team of two can now execute with the velocity of a team of ten, provided they have clear product thinking.
Where AI automation actually creates value.
Not every process needs an LLM. Value is created when AI handles the unstructured ambiguity that traditional code cannot parse.
Why most software solves the workflow, but not the underlying problem.
We often build tools that make a bad process faster, instead of rethinking the process itself to eliminate the need for the tool entirely.
I WORK ACROSS
I don't limit myself to a single vertical. AI is used as a force multiplier across research, development, analysis, prototyping, and automation to build better systems faster.
BUSINESS & PRODUCT
- Business Analysis
- Requirements Elicitation
- Stakeholder Management
- Process Optimization
- Market Research
- Product Thinking
- Documentation
- BPMN / Process Mapping
AI-ACCELERATED
- AI-Assisted Development
- LLM Workflows
- AI Automation
- Prompt Engineering
- AI Product Prototyping
- AI-Augmented Problem Solving
DATA & ANALYTICS
- Excel
- SQL
- Data Analysis
- Reporting
- Business Intelligence Concepts
- Power BI Concepts
DESIGN & BUILD
- Next.js
- TypeScript
- React
- Tailwind CSS
- Figma
- HTML
- CSS
- JavaScript
- Python
MyCaptain
- ●Conducted deep business needs analysis to align operational goals with market realities.
- ●Led market research initiatives identifying potential growth vectors.
- ●Spearheaded institutional partnership research, structuring approaches for new collaborations.
- ●Streamlined business operations and developed systems for lead generation.