Building Intelligent Systems with Data, AI & Software
I'm Anshu Kumar Singh — a CS & Engineering student specialising in Data Science, software developer, AI enthusiast, and product builder based in India. I enjoy building technology at the intersection of Data Science, Artificial Intelligence, Software Engineering, and Automation.
My Journey
My journey in technology started with programming and curiosity about how software works. As I explored different areas of computer science, I became increasingly interested in data — how raw information can be processed, analyzed, transformed into insights, and used to make better decisions.
That interest led me toward Data Science and Machine Learning. While learning data science, I realized that building a model is only one part of solving a real problem — a useful solution also needs a backend, database, user interface, APIs, automation, and a good user experience.
I'm currently in my 3rd year of B.Tech in CSE (Data Science) at DPG Institute of Technology and Management, graduating in 2027.
Current Project
Automatic Data Analytics Model
Reducing the manual work required to turn raw datasets into useful analytical outputs. The system automates the full analytics workflow — data understanding, cleaning, analysis, visualization, insights, and report generation.
Completed Project
Apna CA
An AI-powered financial assistance platform combining AI agents, financial data, automation, and SaaS workflows to simplify repetitive accounting tasks.
Currently Building
Asrofyz
Data & AI Solutions company
Auto Data Analytics
Automated analytics workflow
Open To
Academic Background
B.Tech in Computer Science & Engineering (Data Science)
DPG Institute of Technology and Management
3rd Year — Expected 2027
Four Areas of Work
Data Science & Analytics
EDA, statistical analysis, feature engineering, predictive modeling, and data-driven decision systems.
Artificial Intelligence & ML
LLMs, RAG, Embeddings, Vector Databases, AI Agents, Multi-Agent Systems, and AI-powered automation.
Software Engineering
Full-stack apps — frontend, backend, APIs, databases, and deployment into complete products.
Automation & Intelligent Systems
Transforming repetitive data work into automated workflows — raw data to insights automatically.
My Tech Stack
Programming
Data Science
AI / ML
Frontend
Backend
Databases
Tools
Expertise
Skills & Technologies
A curated set of tools and technologies I use to build intelligent, scalable products.
Languages
AI / ML
Frontend
Backend
Databases
Cloud & DevOps
How I Approach Problems
01
Understand the Problem
What problem are we actually solving?
02
Understand the Data
What information is available, and what can we learn from it?
03
Design the System
How should the frontend, backend, database, AI, and APIs interact?
04
Build
Turn the architecture into a working product.
05
Automate
Identify repetitive tasks and determine what can be automated.
06
Improve
Test, debug, measure, and continuously improve the system.
What I'm Learning Now
Focused on becoming a stronger AI/ML Engineer with strong Software Engineering fundamentals — understanding how modern AI systems move from a simple model into reliable production systems.
What I Believe In
Curiosity
I like understanding how things work and exploring technologies beyond what is required.
Building
I learn best by turning ideas into working systems.
Problem Solving
I focus on understanding the actual problem before choosing a technology.
Continuous Improvement
Every project is an opportunity to improve my technical and engineering skills.
Practical Impact
I want the systems I build to solve meaningful problems rather than exist only as demonstrations.
Ownership
I like taking an idea from initial concept through development, testing, deployment, and improvement.
Building
Asrofyz
I'm building Asrofyz, a Data & AI Solutions company focused on creating technology solutions for businesses and individuals. Building Asrofyz has taught me to think beyond "Can I build this?" toward "Does it solve the right problem?" and "Does it create measurable value?"
Direction
Where I'm Going
My long-term goal is to become an AI/ML Engineer who can work across the complete lifecycle of intelligent products — taking a problem from Idea → Data → Model → AI System → Backend → Product → Deployment → Scale.
My portfolio is a record of my progression: Learning → Building → Experimenting → Solving → Automating → Engineering. And I'm just getting started.
Let's Build Something
Open to Opportunities
If you're working on an interesting problem, building an AI-powered product, or looking for someone who enjoys working across data, AI, software, and automation — I'd be happy to connect.