Hi, I'm
Passionate about building intelligent systems and scalable software solutions. I blend AI/ML expertise with full-stack development to create impactful applications.
class Akhil:
def __init__(self):
self.name = "Akhil Peram"
self.role = "AI/ML & Dev"
self.skills = [
"Python", "Machine Learning",
"Deep Learning", "Flask",
"Docker", "Cloud"
]
def solve(self, problem):
return self.learn() + self.build()
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I'm a passionate software developer with a keen interest in open source projects, cloud computing, and artificial intelligence. I love experimenting with new technologies and building solutions that make a difference.
Currently working on several exciting open source projects while constantly learning and exploring new technologies in the fields of AI, ML, and cloud computing.
XGBoost, SVM, Scikit-learn
PyTorch, Neural Networks
Pandas, NumPy, Matplotlib
NLP, Computer Vision
EDA, Feature Engineering
Research & Prototyping
REST APIs, Web Apps
Deployment & Services
Algorithms & Problem Solving
BeautifulSoup, Selenium
Version Control & Collaboration
Containerization
Command Line & Scripting
Environment Management
Crop Recommendation System using Blended XGBoost and SVM Machine Learning Model with Flask web interface.
Handwritten digit recognition using Deep Learning neural networks for accurate classification.
Predicting customer purchase amounts during Black Friday sales using advanced ML techniques.
Predicting blood donation behavior using classification algorithms and feature engineering.
Predicting house sale prices using regression models and comprehensive data analysis.
Automated web scraping tool using Python libraries for data extraction and processing.
Task management application built with Python for organizing and tracking tasks efficiently.
Collection of supervised machine learning notebooks with NumPy, Pandas, and Matplotlib.
Data Structures and Algorithms implementations in Python including sorting and searching.
Working on multiple open source projects, exploring advanced ML techniques, and contributing to the developer community.
Built supervised ML notebooks, explored data science with Pandas, and started ML Bootcamp journey.
Built first prediction models including Black Friday Sales, Blood Donations, House Price Prediction, and Digit Recognition.
Started learning programming fundamentals with C, Python, and Java. Built core DSA knowledge.
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.