annierohatgi13@gmail.com | +91 8839520003
github.com/Anvesha137 | linkedin.com/in/anvesha-rohatgi/
I'm a final-year engineering student who genuinely enjoys building things that actually work — mostly around AI, automation, and applied machine learning.
I don't come from the "topper" or "one-stack-for-life" mindset. I learn by doing, breaking, fixing, and repeating. Somewhere between college labs and late-night experiments, I realized I cared less about grades and more about whether something could survive real-world use.
Like most first-year students, I started college doing exactly what I was told. Attend lectures. Submit assignments. Pass exams.
It didn't take long to notice the gap. I could answer questions, but I couldn't confidently build anything end-to-end. That bothered me more than bad grades ever could.
Kaushal 4.0 was my first real wake-up call. For the first time, learning wasn't about finishing a module — it was about solving something practical. Suddenly, concepts had context.
Rule I still follow:
If you can't apply it, you don't really understand it.
By second year, my mindset shifted. Instead of asking "What should I study next?" I started asking "What can I build with what I already know?"
This is when I went deeper into machine learning fundamentals, neural networks, CNNs, data handling, and evaluation — not just academically, but practically.
At some point, individual models stopped exciting me. Systems did. How does data move from input to output? How do automations behave when something unexpected happens?
Important realization:
Most problems don't need fancy AI. They need reliable pipelines and clear logic.
Final year is where everything came together. I stopped building "projects" and started building solutions.
I now care less about how impressive something sounds and more about:
I like AI, but I don't romanticize it. Sometimes rules beat models. Sometimes automation beats prediction. Sometimes the smartest decision is not using AI at all.
That's why I'm comfortable calling myself a generalist. It helps me zoom out, connect dots, and avoid building cool-but-useless things.
Not buzzwords. Not certificates. Not surface-level polish.
I'd rather build something imperfect and useful than something elegant and irrelevant.
I'm actively building and exploring opportunities around AI engineering, automation, and applied ML — roles where thinking matters more than memorization.
If you want to exchange ideas, talk systems, automation, or sanity-check something you're building, feel free to book a call.
This page will evolve as I do — and that's intentional.
If you made it this far, welcome. You're exactly the kind of person I enjoy working with 🚀
Building intelligent systems at the intersection of AI/ML and Full Stack Development. Creating scalable solutions that bridge innovation with practical application.
5+
Projects
8.5
CGPA
10+
Certifications
100%
Passion
Currently working on these exciting projects
AI-powered analytics platform with automated forecasting and insights generation
Computer Vision system for automated inventory management and SKU detection
Personalized AI tutor that adapts to learning styles and progress
Technologies I work with and my expertise levels
Projects you've recently explored
Based on your interests in AI/ML and Full Stack Development
Automated course creation platform with AI-powered content generation
Visual similarity search for e-commerce using deep learning
Multi-channel AI chatbots and workflow automation platform
AI-powered reflective journaling and life companion platform
Industry-recognized certifications and course completions
14
Total Certifications
5
Industry Partners
7
AI/ML Focus
2025
Latest Achievement
Microsoft Azure
Azure AI Fundamentals certification demonstrating foundational knowledge of AI and machine learning concepts on Azure.
Microsoft Learn
Designing and Implementing a Data Science Solution on Azure - Advanced data science and machine learning on Azure.
Infosys Springboard
Comprehensive foundation in machine learning concepts, algorithms, and practical applications.
Udemy
In-depth course on CNN architectures, implementation, and applications in computer vision.
MongoDB University
Database management with MongoDB, covering document modeling, aggregation, and deployment.
Data Analytics
Data visualization and business intelligence using Power BI for creating interactive dashboards.
Using Python
Advanced data structures and algorithms implementation using Python programming language.
Skill Development
Comprehensive skill development program focusing on practical software development and industry readiness.