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Amit P.
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Amit P.

Deep Learning Engineer | Computer Vision | Machine Learning | NLP

👋 I’m a Machine Learning Engineer with hands-on experience in Deep Learning, Machine Learning, and Natural Language Processing (NLP). I have a Bachelor's Degree in Computer Engineering and I am a certified Fusemachines AI Fellow. I have multiple certificates in the machine learning domain from top platforms (e.g. DeepLearning.AI, Kaggle). I have expertise in the following domains: ✔️Machine Learning ✔️Deep Learning ✔️PyTorch ✔️FastAPI ✔️Django ✔️Celery ✔️System Architecture Design ✔️Exploratory data analysis ✔️Digital Image Processing ✔️Neural Network Pruning and Quantization ✔️ Optimizing Models for Real-Time Deployment ✔️Feature Engineering ✔️Data Mining ✔️Data Visualizations ✔️Web scraping ✔️Docker What I Offer: 🧠 Deep Learning Expertise: Specialized in building and deploying neural networks for tasks such as object detection, image classification, pose estimation, and anomaly detection. Proficient in using PyTorch and TensorFlow to develop robust models optimized for real-world applications. 🗣️ Natural Language Processing (NLP): Experienced in developing ASR systems, including a Nepali speech recognition model with a Word Error Rate under 30%. Familiar with transformer models, RNNs, and various NLP techniques for tasks like text classification, machine translation, and sentiment analysis. 📊 Machine Learning & Model Optimization: Expertise in training and optimizing machine learning models for predictive analytics, computer vision, and NLP. I focus on enhancing model efficiency through techniques such as pruning and quantization, ensuring they are ready for real-time deployment. 🔧 Feature Engineering & Data Processing: Skilled in extracting valuable insights from complex datasets, with experience in feature engineering, exploratory data analysis, and data mining to improve model performance. 📊 Data Visualizations & Web Scraping: Able to create informative visualizations and extract structured data from websites for analysis, contributing to well-rounded data-driven solutions. Key Projects: •🧍‍♂️ Human Pose Estimation: Developed a new pose estimation network for estimating pose on event data by reviewing and collecting ideas from existing literature, and also prepared the dataset. •⚙️ Motor Anomaly Detection: Used anomaly detection algorithms (K-means, Isolation Forest) to detect anomalies in live motor systems. •🚍 Passenger Counting Solution: Built a real-time passenger counting system with 96% accuracy, integrating head tracking and custom dataset preparation. •🩻 X-ray Classification System: Developed a lung disease detection model with 87% accuracy, addressing challenges like class imbalance in datasets. •🤖 Custom Neural Networks: Designed and trained YOLO models for high-performance object detection tasks from scratch. •🌐 NLP and Speech Recognition: Built multilingual ASR systems and worked on solutions for text analysis and sequence modeling. •🌾 PCA for Agricultural Data: Applied Principal Component Analysis (PCA) on wheat seed and iris flower datasets for dimensionality reduction and feature visualization. •💵 Banknote Verification: Developed a decision tree classifier to detect counterfeit banknotes using various physical features for high precision. •❤️ Heart Disease Prediction: Implemented a Naive Bayes classifier to predict heart disease risk based on medical data and probabilistic analysis. •💧 Water Quality Prediction: Utilized KNN to predict water potability based on multiple water parameters, demonstrating real-world classification applications. •✍️ Handwritten Digit Classification: Built an artificial neural network from scratch for MNIST digit recognition, including forward and backward propagation mechanisms. •🖼️ Image Segmentation with K-means: Applied K-means clustering for segmenting lake and granite images, showcasing advanced unsupervised learning techniques. •🌳 ID3 & C4.5 Decision Trees: Developed custom implementations of ID3 and C4.5 decision tree algorithms, comparing them on a college admission dataset. How I Can Help: I can develop and optimize machine learning and deep learning models, prepare datasets, and deploy solutions for applications in NLP, computer vision, and real-time systems. Connect with Me 🌐 🌍 Website: amitpant.netlify.app 💻 GitHub: github.com/amitpant7

🇳🇵Kathmandu, Nepal$40/hr100% JSS4.89 (4)Since Jul 2019
MRR
$3,260
🌍#11.3K/363K
🇳🇵#19/1,058
Recent Earnings
$19,560
🌍#11.3K/363K
🇳🇵#19/1,058
Total Earnings
$38,692
🌍#86.9K/363K
🇳🇵#204/1,058
Avg. Per Project
$7,738
🌍#20.2K/363K
🇳🇵#36/1,058
Recent Projects
2
0f2h
🌍#240K/363K
🇳🇵#781/1,058
Total Projects
5
4f3h
🌍#240K/363K
🇳🇵#781/1,058
MRR Performance Over Time
$50k$25k$0
6 mo ago3 mo agoNow
Coming SoonGathering historical data
World Skill Rankings
of 138
#6
Model OptimizationTop 4%
#7Edge AI
#13Artificial Neural Network
#15Deep Neural Network
#33OpenCV
#66PyTorch
#69TensorFlow
#102Computer Vision
#123Deep Learning
#128Data Mining
#146Natural Language Processing
#178Data Science
#476Machine Learning
#603Artificial Intelligence
#1,534Python
🇳🇵Nepal Skill Rankings
of 3
#1
Artificial Neural NetworkTop <0.01%
#1Deep Neural Network
#1Natural Language Processing
#1Data Mining
#1Model Optimization
#1Edge AI
#2PyTorch
#2Computer Vision
#2Deep Learning
#2Data Science
#2Artificial Intelligence
#2Machine Learning
#2TensorFlow
#2OpenCV
#5Python
Amit P. — Top 2% in Nepal | UpworkMRR