
At OutperformAI, I engineered a cutting-edge Stable Diffusion model, enhancing image realism significantly. My expertise in TensorFlow and Python, coupled with a strong foundation in teamwork and problem-solving, led to a notable reduction in manual inspection time. Leveraging deep learning and neural networks, I drive innovations that align with employer-sought skills.
Python, R
JavaScript, TypeScript
HTML, CSS
React js, Express js, Node js
TensorFlow
Scikit-learn
NumPy, SciPy
Pandas
Matplotlib, Plotly, Seaborn
OpenCV
Spacy, Gensim
Statistics, Calculus
Fast API
Docker
AWS Cloud, Netlify, Vercel
Git & GitHub
SQL, SQLite
MongoDB, PostgreSQL
LangChain, RAG
LLM, Gen AI
AI Agents, CrewAI
Pinecone, Weaviate
Data Visualization
Data preprocessing
Machine Learning
Deep Learning
Neural Networks
RNN, CNN, FNN, MLPs
Transformer, VAE, U-Net
NLP, LSTM, EDA, PCA
Computer Vision
Algorithms & Data Structures
Problem-solving, Teamwork
Communication, Collaboration
Machine Learning Specialization (DeepLearning.AI and Stanford University)
Sentiment Analysis using Transformer
September 2024- October 2024
OutperformAI- Vadodara, Gujarat
● Architected a cutting-edge sentiment analyzer leveraging Transformer architecture, expertly calibrating hyperparameters to unlock 90% accuracy in sentiment classification, a 20% improvement over state-of-the-art benchmarks.
● Crafted a scalable sentiment analysis pipeline, seamlessly integrating pre-trained language models with custom features, to deliver a 30% increase in F1-score and a 25% reduction in inference time.
Image Classification using ConvNeXt
July 2023- October 2023
Parul University- Vadodara, Gujarat
● Engineered a ConvNeXt architecture and designed a data pipeline to train it on CIFAR-10 dataset, achieving an impressive 91% accuracy on the test set, surpassing baseline models by 27%.
● Applied dropout layers, effectively reducing overfitting and boosting model robustness, resulting in a 27% increment in validation accuracy.
Deep Learning Specialization (DeepLearning.AI)
Machine Learning Specialization (DeepLearning.AI and Stanford University)
Introduction to Statistics ( Stanford University)
Version Control (Meta)
Responsible AI for Developers (Google Cloud)
Generative AI for Developers (Google Cloud)
Exploratory Data Analysis for Machne Learning (IBM)