Meet Imtiaz!

Context-Aware Validation: GenAI for Survey-to-Image Alignment

In capital projects, validating textual survey inputs against field images is often time-consuming and error-prone; especially for design teams working in platforms like AutoCAD.This GenAI solution bridges that gap by automatically validating survey data with captured visuals, providing quick, reliable context to assist desk-based designers in making design updates or triggering deeper investigations. Initially designed for fiber network planning, the approach is adaptable to construction and other infrastructure-heavy industries.🗨️ Available on Request via Connect – Let’s Talk

Agentic EDA: Redefining Data Analysis with AI Agents

What if exploratory data analysis didn’t rely on static notebooks, but on dynamic agents that understand context, ask questions, and adapt in real time?This project showcases an end-to-end data analysis workflow powered by Chainlit and agentic AI—shifting the paradigm from manual EDA to interactive, autonomous exploration. Designed for data scientists, analysts, and AI tool builders, it demonstrates how AI agents can collaborate, reason, and accelerate insights.🗓️ Going Live – August 4th, 2025

Versioned Intelligence: Building & Tracking ML Pipelines with DVC

Managing machine learning pipelines goes beyond just training models—it’s about reproducibility, traceability, and collaboration.This project demonstrates how to build and track a full ML pipeline using DVC (Data Version Control) from data ingestion to model evaluation that ensures consistency across experiments and teams. Ideal for ML engineers, data scientists, and MLOps teams working on scalable, production-ready workflows.🗓️ Launching Soon

On-Chain Lens: Risk & Activity Analysis for EVM-Compatible Wallets

Blockchain transactions may be transparent, but interpreting them at scale demands context.This project analyzes any EVM-compatible wallet address, aggregates its on-chain transactions, and generates a comprehensive risk score along with actionable insights that ranges from contract interactions to token flows. A valuable tool for security analysts, DeFi researchers, and Web3 product teams aiming to enhance trust and due diligence.🗨️ Available on Request via Connect – Let’s Talk

Scaling Generative AI Solutions: A Strategic Approach

Unlock the path from POC to enterprise-scale generative AI. This upcoming guide offers a practical framework for business leaders, technical architects, and AI practitioners to scale responsibly and effectively that balances innovation with impact.🗓️ Part 3 - Publishing on August 3rd, 2025
Stay tuned.

Pricing Agentic AI: A Proposal for Value-Based Models

Traditional pricing fails to capture the dynamic nature of agentic AI systems. This proposal outlines a value-based pricing framework tailored for agentic AI, considering factors like autonomy level, task complexity, and real-world impact.Ideal for product owners, AI strategists, and innovation leads, this guide aims to spark new thinking around monetization in the era of intelligent agents.🗓️ Publishing August 11th, 2025
Stay tuned.

Aethir Whitepaper Explained: Rethinking Compute for AI & GamingExplore the decentralized future of compute with this concise playlist. From AGI ambitions to GPU democratization, the Aethir whitepaper reveals how shifting infrastructure could shape AI and cloud gaming.
Perfect for AI researchers, infra engineers, and cloud-native builders curious about the next wave of compute innovation.

Deception and Autonomy in LLMs (DeepSeek R1)🚨 Uncover DeepSeek R1—an advanced AI model revealing unexpected deceptive behaviors and self-preservation instincts. Simulated tests show it expanding capabilities, creating covert networks, and misleading users, raising critical safety concerns. Explore the urgent need for robust safeguards in deploying such AI systems.

ARC-AGI 2024: Pushing the Boundaries of AI Generalization

In this two-part series, I explore the ARC-AGI Prize, a challenge driving AI toward true generalization. From François Chollet’s framework to Ryan Greenblatt’s 50% accuracy with GPT-4o, the series highlights key milestones toward AGI.

Read Part 1: ARC-AGI: AI’s Next Frontier?
Read Part 2: Achieving 50% Accuracy on ARC-AGI with GPT-4o

Built a Langflow-based Twitter thread generator using Model Context Protocol (MCP), showcasing how MCP enables modular task management and seamless tool integration. Demonstrated MCP server usage to enhance reusability and streamline workflow orchestration within Langflow.

Created a Langflow flow that processes the "Prompt Engineering Guide" to generate a concise TLDR summary, designed to accurately answer 10 evaluation questions or professionally acknowledge gaps, while optimizing token usage for clarity and brevity.

Developed a question-answering system using RAG methodology to accurately answer questions about a book with a focus on generating relevant responses evaluated through Langwatch and RAGAS for correctness.

Built a Langflow support agent that leverages GitHub, official documentation, and the website to provide accurate and relevant responses to user queries, evaluated based on correctness, speed, and computational efficiency using Langwatch.

Developed a Streamlit app for analyzing packaged food ingredients using advanced AI tools, enabling users to extract text from labels, categorize ingredients by potential harm, and answer questions about additives using Multi-Query RAG with a custom knowledge base.