
6
5
Pakistan
3+ years of experience
🔬 Syed Muhammad Fazil Computer Scientist | AI/ML Researcher | Generative AI Engineer Passionate about advancing intelligent systems through cutting-edge research and applied machine learning. Specializing in Natural Language Processing (NLP), Generative AI, and Adaptive Learning Systems, I develop scalable AI solutions that bridge theoretical innovation with real-world impact. ✦ Core Expertise: AI/ML: Deep Learning, LLMs (GPT, RAG), Neural Networks Programming: Python, PyTorch, TensorFlow, API Integration Systems Design: Scalable Architecture, Cloud Deployment (AWS/Netlify) Research: Publications in AI/ML (if applicable) ✦ Philosophy: "Engineering AI systems that are both trans-formative and ethically grounded." Let’s collaborate on the future of intelligent computing!

PulseIntel is a dual-track enterprise web intelligence platform built for modern security and revenue teams. Every company has two critical blind spots. First, competitors are quietly hiring machine learning engineers and fraud analysts — revealing their next product move months before any announcement. Nobody has time to read thousands of job postings and connect the dots manually. Second, phishing pages, fake domains, and credential dumps appear on the open web daily. Security teams find out only after customers start complaining because internal tools cannot monitor what lives outside the firewall. PulseIntel solves both problems with one unified platform. Track 1 — GTM Intelligence: Enter any company name and PulseIntel uses Bright Data MCP Server to scrape job postings across LinkedIn, Greenhouse, Lever, and company career pages in real time. Groq AI running LLaMA 3.3 70B analyzes the hiring patterns and generates a structured competitive strategy brief — what the company is building, which departments are growing, which competitors should be concerned, and an expected timeline. Track 3 — Security and Compliance: Enter any brand name and PulseIntel scans paste sites, social media, and the open web for brand mentions using Bright Data MCP Server. Groq AI scores each finding by risk level from 1 to 10 and categorizes threats as phishing, credential leak, lookalike domain, or impersonation. Each alert includes a recommended action for the security team. The entire data pipeline runs on Bright Data MCP Server which bypasses bot detection, handles JavaScript rendering, and returns clean markdown directly consumable by the AI layer. The dashboard is built on Streamlit with a dark enterprise aesthetic, real-time metrics, and risk-level filtering. PulseIntel was built in 4 days by WeCoders for the Web Data UNLOCKED Hackathon 2026.
31 May 2026

Managing multiple tasks without clear priorities is one of the most common yet underestimated challenges in software development and project management. When deadlines overlap, dependencies are unclear, and sprint planning is done manually, teams lose valuable time to decision paralysis and avoidable blockers. The Task Input & Storage System was built to eliminate exactly that friction. Built with Python, Streamlit, and JSON, this tool provides a clean and intuitive interface for capturing, organizing, and prioritizing tasks from a single place. Each task stores rich metadata — including title, description, priority level, status, estimated effort, labels, dependency IDs, and notes — ensuring nothing important is ever lost or ambiguous. The system supports full CRUD operations and lets users search and filter tasks by priority, status, or keyword. Every change is auto-saved to a local JSON file, keeping the setup lightweight with zero database overhead. Where the system truly stands out is its Bob AI Integration. Users can export their entire task list as structured, LLM-ready text that captures all metadata and relationships. This export is then analyzed by Bob, a custom Task Prioritizer AI mode, which returns four types of actionable intelligence: dependency mapping to understand what blocks what, step-by-step execution order recommendations, proactive risk and blocker identification, and automated sprint planning that groups tasks into logical delivery phases. Bob also generates color-coded visual flow diagrams as PNG files, giving teams an instant overview of their workload. Getting started requires just three commands — install, launch, and export. The codebase is modular and well-structured, making it easy to extend or integrate into existing workflows. Future plans include native integrations with Jira, GitHub Issues, and Linear, along with team collaboration features and a mobile app. Stack: Python 3.9+ · Streamlit 1.32.0 · JSON · Bob AI
17 May 2026

MedChrono AI is a multimodal AI-powered health trend analysis platform designed to help users better understand changes in their medical lab reports over time. Most existing tools only summarize a single report. MedChrono AI goes beyond basic summarization by comparing multiple reports across different dates, identifying improving or worsening trends, simplifying complex medical terminology, and helping users prepare meaningful questions for doctors. The system is designed as an agentic workflow using modular AI agents that collaboratively process uploaded reports. Additionally, MedChrono AI leverages multimodal AI and intelligent trend detection to transform complex medical data into actionable, easy-to-understand health insights for everyday users.
10 May 2026
.png&w=828&q=75)
GlobalMedTriage is a solution to one of the biggest problems in emergencies: language barriers. When someone calls for help, our system instantly converts their speech into text, translates it into the responder’s language, and provides protocol-driven triage prompts so that first aid instructions can start right away. If the AI is unsure, it uses a confidence check and quickly hands the call to a human interpreter for accuracy. Unlike most telemedicine tools, it also works offline in rural areas with poor connectivity. All calls are encrypted and HIPAA-compliant, ensuring patient safety and privacy. This makes emergency help faster, safer, and accessible to everyone—no matter what language they speak or where they are.
21 Sep 2025

MYSTICA is a dynamic AI-powered quiz app designed to engage users of all ages in an interactive learning experience. By using a free AI key with limited requests, the app generates personalized quiz questions based on the user’s age and subject preference. With each question, users are presented with multiple-choice options and immediate feedback through sound effects and playful owl images, creating a fun and educational atmosphere. The app’s goal is to provide an entertaining yet educational tool that adapts to different age groups, helping users learn while enjoying a game-like environment.
1 May 2025