Writing & Talks
Sharing learnings from building AI systems, distributed platforms, and production infrastructure. Technical deep-dives, case studies, and lessons learned.
Technical Articles
In-depth explorations of GenAI systems, infrastructure design, and engineering best practices.
Building Production Multi-Agent Systems with MetaGPT
Deep dive into architecting multi-agent systems that scale in production environments. Covers orchestration patterns, error handling, and observability best practices.
Secure Code Execution in AI Agents using MicroVMs
How to safely execute untrusted code in AI agent workflows using E2B microVMs. Includes security considerations, performance benchmarks, and implementation patterns.
LLM Observability: Lessons from Production
Practical insights from monitoring LLM applications in production. Covers latency tracking, cost optimization, error handling, and quality metrics.
From Monolith to Microservices: A FinTech Journey
Case study of migrating a monolithic fintech application to microservices architecture. Includes migration strategies, challenges, and lessons learned.
Prompt Engineering Patterns for Production LLMs
Comprehensive guide to prompt engineering techniques that work in production. Covers chain-of-thought, few-shot learning, and error recovery strategies.
Building Real-time Collaborative Systems with WebRTC
Technical deep-dive into building scalable real-time collaboration features using WebRTC, including screen sharing, video conferencing, and state synchronization.
Cost Optimization Strategies for Serverless ML Pipelines
Practical approaches to reducing costs in serverless ML deployments. Covers Lambda optimization, caching strategies, and architecture patterns for cost efficiency.
NER and OCR Pipeline Design for Document Processing
Building production-grade document processing pipelines combining Named Entity Recognition and OCR. Includes accuracy improvements and scaling strategies.
Dynamic Time Warping for Time Series Analysis
Understanding and implementing DTW algorithms for time series matching and classification. Includes performance optimizations and practical applications.
Read More on Medium & Dev.to
Follow my writing on Medium and Dev.to for the latest articles on AI/ML, infrastructure, and software engineering.
Writing Topics
Areas I write about regularly, organized by category.
Generative AI & LLMs
Infrastructure & DevOps
Machine Learning
Real-time Systems
Talks & Events
Conferences, summits, and community events I've participated in.
RAISE2020, IIT Madras
Attended robotics and AI summit focused on cutting-edge research in autonomous systems, computer vision, and reinforcement learning. Engaged with researchers and industry leaders on emerging AI trends.
IIT Madras AI Summit
Participated in discussions on production ML systems, model deployment strategies, and AI ethics. Networked with ML engineers from leading tech companies.
Makers Summit
Explored latest trends in maker culture, IoT, and embedded systems. Learned about prototyping techniques and hardware-software integration patterns.
What I'd Love to Write About Next
Topics I'm exploring and planning to share insights on.
Agent-to-Agent Communication Protocols
LLM Cost Optimization at Scale
Building Reliable AI Systems
Vector Databases in Production
MLOps for LLM Applications
Distributed Systems for AI
Interested in AI/ML Content?
Follow my writing on Medium and Dev.to for technical deep-dives, case studies, and practical insights from building production AI systems.