About Me
I'm an AI and Software Engineer with 20+ years of technology leadership experience, currently focusing on Generative AI and Agentic AI architectures. I specialize in developing advanced AI systems that solve complex business problems.
My expertise includes building sophisticated RAG and multi-agent systems using LlamaIndex, LangChain, and other cutting-edge frameworks. I've designed and deployed large-scale LLM solutions across multi-cloud environments, creating robust architectures that deliver tangible results.
My mission is to bridge cutting-edge AI research with practical applications, implementing robust AI systems that empower organizations while advancing responsible AI practices that prioritize interpretability, fairness, and alignment with human values.
I share insights through my Substack newsletter The AI Engineering Brief, where I break down complex technical concepts into accessible knowledge. Connect with me on Twitter (@anup) to join the conversation about AI's evolving role in technology and society.
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Skills & Expertise
Generative AI
Large Language Models (LLMs), RAG Systems, LlamaIndex, LangChain, Fine-Tuning, Vector Databases, Knowledge Graphs, Text-to-Image Models
Agentic AI Architecture
Multi-agent Systems, Tool-using Agents, Autonomous Agents, Prompt Engineering, Orchestration Frameworks, Chain-of-Thought
AI Engineering
Python, PyTorch, Transformers, Hugging Face, Prompt Engineering, API Integration, LLM Deployment, Performance Optimization
AI System Design
Enterprise AI Solutions, Solution Architecture, Implementation Planning, ML Pipelines, Model Evaluation, Scalable Architectures
Enterprise Architecture
Multi-cloud Deployments, Systems Integration, Data Architecture, Cloud Strategy, API Development, Distributed Systems
Leadership
Technical Team Management, Mentoring, Strategic Planning, Executive Relationships, Cross-functional Collaboration, Technical Community Building
Featured Projects
EfficientNetB2 Computer Vision Model
An EfficientNetB2 feature extractor computer vision model to classify images of food as pizza, steak or sushi. The model performs at 95%+ accuracy, and can classify an image at 0.03 seconds inference time per image.
Matrix-themed Chat Interface
Built an immersive Matrix-themed chatbot interface leveraging Heroku's AI inference and agent APIs. The project showcases modern AI capabilities while paying homage to the iconic film through its visual design and interaction patterns. Features include real-time message streaming, dynamic animations, and context-aware responses.
Vision Transformer (ViT) Paper PyTorch Implementation
Replicated the famous Vision Transformer paper using PyTorch to improve my understanding of Transformer architecture applied to vision problem(s).
Technical Publications
A collection of articles and publications about AI Agents, software architecture, engineering management, and technology. Focused on making complex technical concepts accessible.
Get in Touch
Interested in collaborating or learning more about my work?