I'm an AI/ML Developer with expertise in TensorFlow, PyTorch, and Python. My experience includes developing and deploying machine learning models for various applications including computer vision, natural language processing, and predictive analytics. I'm passionate about leveraging AI to create innovative solutions that make a positive impact.
1.5+Years of experience
10+ML Models Deployed
20+Projects Completed
✨ Projects
Streamlined digital experiences.
I've worked on a variety of projects, from small websites to large-scale web applications. Here are some of my favorites:
SoundScape-AI
AI-powered music generation system using deep learning techniques
PythonPyTorchTensorFlowWeb Audio API
Sentinal-AI
Security monitoring system with AI-based threat detection
PythonOpenCVTensorFlowFlask
Stock Price Prediction
LSTM model for predicting stock market trends and prices
PythonKerasPandasMatplotlib
Community Pulse
Social sentiment analysis platform for community insights
PythonNLTKSpaCyReactD3.js
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🛠️ TECH STACK
Technologies I Work With
These are the technologies I use to build powerful, scalable, and efficient solutions. Hover over each card to see my expertise.
Python
3+ years10+ projects
JavaScript
1+ years2+ projects
TypeScript
1+ years1+ projects
HTML
1+ years2+ projects
CSS
1+ years2+ projects
React
1+ years1+ projects
Supabase
1+ years2+ projects
AWS
1+ years1+ projects
Google Cloud
1+ years1+ projects
My Skills &
Expertise.
Here are some of the key areas where I specialize. If you have any questions about my capabilities, feel free to reach out.
Python95%
TensorFlow90%
PyTorch85%
Machine Learning92%
Deep Learning88%
NLP85%
Computer Vision80%
Data Analysis90%
Machine LearningBuilding and deploying custom machine learning models to solve complex problems.
Data ScienceExtracting insights from data through statistical analysis and visualization.
Deep LearningCreating neural networks for image recognition, NLP, and other advanced AI applications.
Data EngineeringDesigning and implementing data pipelines and infrastructure for AI/ML workflows.
MLOpsStreamlining the deployment, monitoring, and maintenance of ML models in production.