Deep Learning
May 15, 2026
8 min read
Understanding Transformer Architecture: From Attention to GPT
Deep dive into how transformers revolutionized NLP and paved the way for large language models like GPT-4 and BERT.
#Transformers#NLP#Attention
About Me
Passionate about leveraging AI to solve complex real-world problems
I’m a passionate AI/ML Engineer with hands-on experience in designing, developing, and deploying scalable machine learning and AI-driven applications. My expertise spans across deep learning frameworks such as TensorFlow, PyTorch, and Keras, along with strong proficiency in full-stack development and backend systems.
I specialize in building end-to-end AI solutions, from data collection and preprocessing to model training, deployment, and production integration. My core areas of expertise include Natural Language Processing (NLP), Computer Vision, Generative AI, Agentic AI, and intelligent automation systems.
With a strong foundation in computer science, mathematics, and software engineering, I focus on developing production-ready AI systems that are accurate, scalable, maintainable, and efficient. I’m passionate about leveraging AI technologies to solve real-world problems and create impactful digital solutions.
3+
Years Experience
10+
Projects Completed
95%+
Model Accuracy
3
Certifications
Technical Expertise
Comprehensive skill set across the entire ML lifecycle
Deep Learning
TensorFlow / Keras95%
PyTorch92%
Neural Networks90%
Transfer Learning88%
NLP & Computer Vision
Transformers (BERT, GPT)93%
OpenCV87%
YOLO / Object Detection85%
Hugging Face90%
Programming
Python95%
JavaScript80%
SQL85%
C++ (for optimization)75%
MLOps & Deployment
Docker / Kubernetes88%
MLflow85%
AWS SageMaker82%
FastAPI / Flask / Django90%
Data Engineering
Pandas / NumPy95%
Apache Spark83%
PostgreSQL / MongoDB87%
Data Pipelines85%
Specialized Skills
Reinforcement Learning80%
Agentic AI / Generative AI88%
Time Series Forecasting85%
MLOps / CI/CD87%
Featured Projects
Real-world AI solutions delivering measurable impact
Intelligent Chatbot with GPT-4
Built a context-aware chatbot using GPT-4 API with custom fine-tuning for domain-specific knowledge. Implemented RAG architecture for enhanced accuracy.
NLP
GPT-4
Python
RAG
95% User Satisfaction
40% Cost Reduction
2M+ Conversations
Real-time Object Detection System
Developed a real-time object detection system using YOLOv8, deployed on edge devices. Achieved 60 FPS with 92% accuracy.
Computer Vision
YOLO
PyTorch
Edge AI
92% Accuracy
60 FPS
Edge Deployment
Predictive Analytics Dashboard
Created an end-to-end ML pipeline for sales forecasting using LSTM networks. Integrated with real-time data streams and interactive visualizations.
Time Series
LSTM
TensorFlow
MLOps
15% Revenue Increase
Real-time Predictions
Auto-scaling
Medical Image Classification
Developed a deep learning model for detecting anomalies in X-ray images. Used transfer learning with ResNet-50 and achieved state-of-the-art results.
Medical AI
CNN
Transfer Learning
Healthcare
97% Sensitivity
FDA Cleared
10K+ Diagnoses
Sentiment Analysis Engine
Built a multi-lingual sentiment analysis system using BERT transformers. Processes 10M+ social media posts daily with 94% accuracy.
NLP
BERT
Multi-lingual
Big Data
94% Accuracy
10M+ Posts/Day
15 Languages
Generative Art with GANs
Implemented StyleGAN2 for creating high-quality artistic images. Built a web interface for users to generate and customize AI art.
GANs
Generative AI
PyTorch
Creative AI
1024x1024 Resolution
50K+ Artworks
Web Deployed
Blogs
Insights, tutorials, and thoughts on artificial intelligence and machine learning
MLOps
May 8, 2026
12 min read
Building Production-Ready ML Systems: Best Practices
Essential practices for deploying machine learning models at scale, including monitoring, versioning, and A/B testing.
#MLOps#Deployment#Best Practices
Computer Vision
April 28, 2026
10 min read
Computer Vision in 2026: YOLO, SAM, and Beyond
Exploring the latest advancements in computer vision, from real-time object detection to segment anything models.
#YOLO#SAM#Object Detection
LLMs
April 20, 2026
15 min read
Fine-tuning LLMs: Techniques and Trade-offs
Comprehensive guide to fine-tuning large language models, including LORA, RLHF, and parameter-efficient methods.
#Fine-tuning#LORA#RLHF
AI Ethics
April 12, 2026
9 min read
Responsible AI: Ethics and Bias in Machine Learning
Addressing critical concerns around AI ethics, fairness, and mitigating bias in machine learning systems.
#Ethics#Fairness#Bias
Generative AI
March 30, 2026
11 min read
Generative AI: From GANs to Diffusion Models
Evolution of generative models and how diffusion models like Stable Diffusion are changing creative AI.
#GANs#Diffusion#Stable Diffusion
Get In Touch
Let's collaborate on your next AI project or discuss opportunities
Contact Information
Open for Opportunities
Currently available for consulting projects, full-time roles, and collaborative research in AI/ML. Particularly interested in NLP, Computer Vision, and Generative AI applications.