Future AI Engineer
On a journey to become part of the top 1% AI engineers, mastering machine learning, deep learning, and generative AI.
My journey from VA to AI Engineer
I love spending my whole day in front of the laptop, learning, coding, doing my job, and solving complex problems that excite me.
Back in mid-2024, I started my journey in the Amazon space and have gained 1+ year of experience in Listing Data Extraction and Optimization.
Alongside my Amazon experience, I’m learning Artificial Intelligence to implement it in my domain, automating workflows, saving time, and boosting productivity. I’m passionate about exploring how AI can optimize operations and make eCommerce smarter and more efficient.
Excited for what’s ahead, and always ready to put in the hard work to grow and innovate.
Core competencies in AI and development
My journey to becoming a top 1% AI engineer
Completed comprehensive Python course covering fundamentals, OOP, data structures, and built a final project - CAG Project API for PDF interaction using Google Gemini.
Mastered data manipulation and exploratory data analysis using Pandas and NumPy. Learned data cleaning, transformation, numerical computing, and analysis techniques for real-world datasets.
Learned to create comprehensive data visualizations and advanced statistical plots. Covered plotting techniques, customization, distribution plots, and best practices for data storytelling.
Currently learning machine learning through CampusX's comprehensive 100-day program. Covering supervised and unsupervised learning, algorithms, and model evaluation.
In Progress - Day 60/100Neural networks, CNNs, RNNs, and advanced architectures with TensorFlow & PyTorch. Planning to start after completing ML fundamentals.
SoonLLMs, prompt engineering, RAG systems, and building AI-powered applications. The ultimate goal of my AI journey.
SoonShowcasing my work and practical applications
A FastAPI-based application that allows users to upload PDF files, extract text, store content, and query it using a Large Language Model powered by Google Gemini. Provides a simple REST API for managing PDF data and retrieving context-aware responses.