rana zain@Ranazain
6
Events attended
4
Submissions made
Pakistan
1 year of experience
About me
Rana Zain Waseem | AI Engineer from Lahore Building generative AI and multi-agent systems. Love hackathons. Currently obsessed with CrewAI, LangChain, and making AI agents you can trust. Let's build something cool together.
🤝 Top Collaborators
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🤓 Latest Submissions
MEIA-LAB (Multi-Agent Earnings Intelligence calls)
MEIA-LAB (Multi-Agent Earnings Intelligence & Alignment Lab) is an end-to-end AI platform that automates the verification of corporate earnings call claims against official SEC filings in real-time. Every quarter, public companies present their financial performance through earnings calls and slide decks, but analysts must manually cross-reference hundreds of pages of SEC disclosures to separate fact from corporate spin—a process that is slow, error-prone, and costly. MEIA-LAB solves this by deploying a team of specialized AI agents orchestrated through LangChain and LangGraph. The ASR Agent uses Whisper to transcribe earnings call audio with high accuracy. The Vision Agent performs layout-aware OCR on presentation slides using PyMuPDF and multimodal LLMs. The Filing Agent retrieves the latest 10-Q and 8-K filings directly from SEC EDGAR and extracts structured financial data. Finally, the Orchestrator cross-examines all sources, scores each management claim for consistency, flags risk discrepancies, and generates source-cited analyst briefs. The platform features a React-based dashboard that surfaces a real-time Consistency Score, a verified claims panel with direct evidence citations, a risk monitor highlighting guidance gaps, and an Evidence Room linking every finding to exact filing pages and transcript lines. All heavy inference workloads including Whisper transcription and high-throughput vector embedding generation for RAG-based filing search via ChromaDB are accelerated on AMD Developer Cloud GPUs using ROCm, delivering massive speedups over CPU execution. MEIA-LAB cuts institutional-grade earnings research from hours to under a minute, helping hedge funds, equity research desks, and compliance teams invest with certainty.
13 Jul 2026
Sentinel AI — Unified Multi-Agent Intelligence
Sentinel AI is a sophisticated 24/7 autonomous platform designed to unify multi-agent intelligence for sales, finance, and security teams. This innovative system continuously monitors the web, providing crucial insights and automatically alerting the relevant teams when significant events occur. It addresses the common problem of companies spending over $13,500 per month on more than five siloed tools that fail to communicate with each other. Sentinel AI aims to replace these fragmented solutions, offering a more cost-effective alternative at $500 per month while effectively connecting the dots between different data streams. The platform's architecture is built around specialized agents: a GTM (Go-to-Market) Agent, a Finance Agent, and a Security Agent, each leveraging Bright Data for data acquisition and Featherless AI for open-source model inference tailored to their specific tasks. For instance, the GTM agent uses Mistral-7B for entity extraction, the Finance agent employs Phi-3-mini for numerical reasoning, and the Security agent utilizes Llama-3-8B for threat categorization. These agents feed into a powerful Cross-Agent Synthesis Engine, powered by Claude Opus and Cognee for agent memory, which identifies non-obvious cross-domain correlations that would be missed by individual tools. Sentinel AI's capabilities extend to automated workflows triggered by its insights. High-severity GTM signals can be pushed to the CRM with talking points, a churn score above 60 triggers Customer Success alerts and retention playbooks, and critical security events generate incident tickets and customer notifications. platform integrates deeply with partner technologies, utilizing all five Bright Data tools for various scraping and unlocking needs, Featherless AI for efficient open-source model hosting, Cognee for building a robust knowledge graph of signals, and TriggerWare for orchestrating automated workflows. /
31 May 2026
AI-Powered Knowledge Navigator
Our project is an AI-Powered Knowledge Navigator designed to accelerate hackathons and research projects. It leverages multiple GPT-5-powered agents to understand project goals, context, and constraints. The system performs intelligent searches across GitHub, Kaggle, Arxiv, and StackOverflow, filtering datasets, code snippets, and papers relevant to the project. It auto-generates starter code and reusable components, provides progress tracking with actionable next-step recommendations, and enables team collaboration by summarizing progress and generating reports. This multi-agent system streamlines research, accelerates prototyping, and helps participants focus on building rather than searching
24 Aug 2025
Anti-ShortVideo-Addiction AI Assistant
We’ve built a thoughtful digital companion designed to help people escape the endless scroll of short videos not by blocking apps or setting strict limits, but by gently understanding and responding to your habits. Rather than just tracking how much time you spend on your phone, it pays attention to how you’re using it how quickly you scroll, how often you switch videos, the mood of the content you’re watching, and more. When it notices you might be stuck in a loop, it steps in with care. This companion doesn’t lecture or interrupt it starts a friendly, meaningful conversation. It might gently encourage you to take a short break, focus on a small goal, or just breathe and reflect for a moment. It’s not about control. It’s about support helping you feel more in charge of your time and attention, while still enjoying the things you love.
15 Jun 2025
