Blog Posts

Welcome to my blog! Here you'll find posts on Data Science, Machine Learning, AI, and more. Check back for new articles.
ai-copilots
AI Copilots and Developer Productivity in the Era of Autonomous Coding

Learn how AI copilots are transforming software development through code generation, debugging, autonomous workflows, and intelligent developer assistance.

May 8, 2026
vision-transformers
Vision Transformers (ViTs): Redefining Computer Vision

Learn how Vision Transformers (ViTs) are replacing CNNs in modern computer vision tasks and enabling new breakthroughs in image understanding.

April 10, 2026
rag-systems
Retrieval-Augmented Generation (RAG): Beyond Static LLM Knowledge

Learn how Retrieval-Augmented Generation combines vector search and LLMs to create accurate, context-aware AI systems with real-time knowledge.

March 15, 2026
federated-learning
Federated Learning: Training AI Without Centralizing Data

Discover the privacy-preserving power of Federated Learning, where AI models train on distributed devices without sharing sensitive user data. Learn how this approach keeps data local while enabling global model improvements.

February 11, 2026
ai-agents-autonomous-systems
AI Agents: The New Frontier of Autonomous Systems

Explore the rise of AI agents — autonomous systems that can reason, plan, and execute complex tasks. Learn the architecture of agents like Auto-GPT, LangChain orchestration, and how they are reshaping automation and decision-making.

January 13, 2026
understanding diffusion models
Understanding Diffusion Models

Demystify diffusion models — the technology behind Stable Diffusion and DALL-E 3. Learn the forward/reverse process, U-Net architecture, and build your own image generation pipeline.

December 9, 2025
Fine-Tuning LLMs
Fine-Tuning LLMs: From General to Specialized AI

Discover how fine-tuning transforms general-purpose LLMs into domain-specific experts. Learn about LoRA, QLoRA, and PEFT techniques with a practical code example.

November 11, 2025
Retrieval-Augmented Generation (RAG)
Retrieval-Augmented Generation (RAG): Building Smarter AI Systems

Learn how Retrieval-Augmented Generation (RAG) supercharges LLMs with real-world knowledge, reducing hallucinations and enabling up-to-date AI responses.

October 14, 2025
Vision-Language Models (VLMs)
Understanding Vision-Language Models (VLMs): The Convergence of Sight and Language

Explore Vision-Language Models (VLMs), the multimodal AI that can see, read, and reason about images, videos, and text.

September 16, 2025
Diffusion Models in Generative AI
Diffusion Models: The Generative AI Behind Stunning AI Art

A clear explanation of how diffusion models work, from adding noise to guided denoising, and how they power state-of-the-art text-to-image tools.

August 25, 2025
AI in Regulated Industries
AI in Regulated Industries: Auditing, Explainability, and Governance in Finance & Health

Discover how organizations in finance and healthcare implement AI governance, audit for compliance, and use explainability (XAI) tools.

July 20, 2025
Managed Context Protocol (MCP) for AI
The Managed Context Protocol (MCP): A Vision for Standardizing AI Context

Introducing the Managed Context Protocol (MCP), a proposed framework for standardizing how AI models and agents manage, version, and share context.

June 5, 2025
Efficient Inference for Large Models
Efficient Inference for Large Models: Quantization, Pruning, and Distillation at Scale

A deep dive into essential techniques for optimizing large language models for efficient, low-cost inference at scale.

May 10, 2025
Responsible Use of Synthetic Media
Responsible Use of Synthetic Media: Deepfakes, Detection, and Policy

An in-depth look at the challenges of synthetic media, including deepfake detection methods, evolving policies, and content authenticity tools.

April 15, 2025
LLM Evaluation
Evaluating LLM Outputs: Automated Metrics vs Human Feedback

A comparison of automated metrics and human feedback for evaluating large language model outputs in 2025.

March 5, 2025
AI Agents 2025
AI Agents with LangChain and LangGraph in 2025

Explore how LangChain and LangGraph are shaping the next generation of AI agents in 2025 with advanced orchestration and reasoning capabilities.

February 25, 2025
LLaMA 3 Deployment
Deploying Meta LLaMA 3: Custom Chatbots on Open Models

Step-by-step guide to fine-tuning and deploying Meta’s LLaMA 3 models for building custom chatbots.

February 16, 2025
ChatGPT Plugins
Building ChatGPT Plugins: Extending LLMs with External APIs

Step-by-step guide on building ChatGPT plugins to extend language models with external APIs and real-time data.

February 8, 2025
Advanced Fine-Tuning
Beyond LoRA: Advanced Fine-Tuning Techniques for LLMs

Explore advanced fine-tuning techniques for large language models beyond LoRA, including prompt tuning, adapters, and Mixture-of-Experts.

January 30, 2025
Sora Text-to-Video
Text-to-Video Generation with OpenAI’s Sora

A hands-on guide to creating videos from text prompts using OpenAI’s Sora, with practical workflows and use cases.

January 20, 2025
GPT-4o Applications
Harnessing GPT-4o for Multi-Modal Applications

Discover how GPT-4o enables multi-modal applications that combine text, images, and audio for richer user experiences.

January 10, 2025
RAG Systems
Building Production-Ready RAG Systems: A Complete Guide

Learn how to design, implement, and deploy Retrieval-Augmented Generation systems that deliver accurate, context-aware responses in production environments.

December 15, 2024
LoRA & QLoRA
Efficient LLM Fine-tuning with LoRA and QLoRA: A Practical Approach

Master parameter-efficient fine-tuning techniques to adapt large language models for specific domains without breaking the bank on compute resources.

December 10, 2024
AI Agents
Building Intelligent AI Agents with LangChain and LangGraph

Create autonomous AI agents that can reason, use tools, and collaborate to solve complex problems using modern agent frameworks.

December 5, 2024
FinTech Fraud Detection
Machine Learning in FinTech: Advanced Fraud Detection Strategies

Explore cutting-edge ML techniques for financial fraud detection, including document analysis, transaction monitoring, and real-time risk assessment.

November 28, 2024
MLOps for LLMs
MLOps for Large Language Models: Production Deployment Best Practices

Learn how to implement robust MLOps pipelines for LLM deployment, including monitoring, versioning, and scaling strategies.

November 20, 2024
Agentic Workflows
Agentic Workflows: The Future of Human-AI Collaboration

Discover how AI agents enable dynamic, collaborative workflows between humans and machines, reshaping the future of work.

September 1, 2024
Multi-modal AI
Multi-modal AI: Combining Text, Vision, and Speech

Learn how AI models combine text, images, and audio to achieve human-like understanding across multiple modalities.

July 14, 2024
Responsible AI Governance
Responsible AI Governance in Financial Institutions

A framework for building transparency, fairness, and accountability into financial AI systems.

June 20, 2024
AutoML in Finance
AutoML in Financial Services: Promise and Pitfalls

Explore how AutoML accelerates ML in finance and the limitations practitioners should watch for.

April 3, 2024
Synthetic Data in Finance
Synthetic Data for ML in Finance: Benefits and Limitations

A practical guide to using synthetic data in finance, from fraud detection to privacy preservation.

February 10, 2024
LLMs in Finance
Large Language Models in Finance: Opportunities and Risks

Understand the promise of LLMs in finance along with compliance, bias, and privacy risks.

December 5, 2023
Ethical AI in Finance
Ethical AI in Finance: Balancing Innovation and Responsibility

How financial institutions can ensure fairness, transparency, and accountability while innovating with AI.

October 12, 2023
LLMs in Finance
Graph Neural Networks: Applications in Fraud Detection

Fraud is often relational. Accounts, devices, transactions, and merchants form networks where suspicious patterns emerge as connections rather than isolated anomalies.

August 2, 2023
Time Series Forecasting
Time Series Forecasting with Deep Learning: From RNNs to Transformers

Explore how modern neural architectures transform financial time series forecasting.

June 18, 2023
Explainable AI in Finance
Explainable AI in Financial Services: Techniques and Tools

Techniques and libraries to make financial AI systems more interpretable and regulator-friendly.

March 7, 2023
Transformer Models
The Rise of Transformer Models: Beyond BERT and GPT

A deep dive into the transformer revolution, its impact on NLP, and future directions in AI research.

January 15, 2023