GHULAM QADIR@mghulamqadir
3
Events attended
3
Submissions made
2+ years of experience
About me
I’m a backend engineer with over 2 years of experience building scalable web applications and AI-powered systems. I specialize in Node.js and FastAPI, with hands-on experience integrating AI solutions like chatbots, Retrieval-Augmented Generation (RAG), and OpenAI APIs into real products. I enjoy working on clean, modular architectures and turning complex ideas into practical solutions. I’m passionate about learning, collaborating with diverse teams, and building impactful products—especially in fast-paced environments like hackathons. On lablab.ai, I’m excited to connect with other builders, experiment with new AI ideas, and contribute to projects that push technology forward.
🤝 Top Collaborators
🤓 Latest Submissions
WeConectBuilders
WeConnectBuilders: A Real Estate Procurement Commerce The construction and real estate development industry has long operated on fragmented, relationship-dependent supply chains. Developers spend weeks sourcing materials across dozens of vendors, comparing quotes over phone calls and emails, managing waybills in spreadsheets, and reconciling inventory discrepancies that cause project delays and inflate costs. On the vendor side — whether suppliers of cement, steel, tiles, electrical fittings, plumbing fixtures, or finishing materials — businesses struggle with inconsistent demand, poor visibility into project pipelines, and inefficient order management. WeConnectBuilders is a purpose-built marketplace that eliminates this friction by bringing real estate developers and construction material vendors into a single, structured platform. It is not a generic e-commerce store. It is a procurement ecosystem designed specifically around how construction projects work — with bulk orders, waybill documentation, phased delivery schedules, and quantity specifications that change as a project progresses. The Problem It Solves Real estate development is a coordination-heavy business. A mid-scale residential project might require materials from 20 to 40 different vendors across its lifecycle. Each vendor has their own pricing format, stock availability, minimum order quantities, and delivery capabilities. Developers currently have no centralized way to discover, compare, and transact with these vendors in one place. The Problem It Solves Real estate development is a coordination-heavy business. A mid-scale residential project might require materials from 20 to 40 different vendors across its lifecycle. Each vendor has their own pricing format, stock availability, minimum order quantities, and delivery capabilities. Developers currently have no centralized way to discover, compare, and transact with these vendors in one place. The product - weconnectbuilders- is to link both.
2 Mar 2026
Vessel Guard-AI Based Human Factor Risk Detection
Vessel Guard is an AI-assisted maritime safety system designed to prevent human-error-related accidents caused by fatigue, stress, and reduced operational readiness onboard vessels. Life at sea exposes crew members to shift work, sleep fragmentation, vibration, isolation, and high-risk tasks in deck, engine, and bridge operations. While many shipping companies provide access to teletherapy with reactive tools and disconnected from daily operational safety decisions. They do not integrate fatigue thresholds, maritime regulations, or structured escalation to command. Vessel Guard addresses this by combining short daily crew check-ins with a deterministic rules engine based on MLC fatigue standards and wellbeing scales. The system translates human factors into operational risk levels ) and escalates only high-risk cases to the Captain or designated officer. The AI layer does not diagnose or classify risk. It extracts structured data and generates safety-focused summaries, while final decisions remain human-controlled. This human-in-the-loop design ensures regulatory alignment, privacy protection, and institutional credibility. Vessel Guard is designed for maritime sector seeking proactive duty-of-care compliance, improved safety culture, and measurable reduction of fatigue-related incidents—without adding administrative burden to crew.
15 Feb 2026
Market Guardian AI Stay Calm in Volatile Markets
Market Guardian is a proactive AI risk-awareness layer designed for trading platforms like Deriv. In highly volatile moments, many traders act emotionally, incur quick losses, and silently abandon the platform — without complaints, tickets, or clear signals. This hidden churn harms both users and platforms, yet most systems react only after losses occur. Market Guardian intervenes before mistakes happen. The system continuously monitors multiple risk signals (volatility spikes, order imbalance, liquidity drops, market events) and automatically triggers a short, calm, fact-based explanation when risk exceeds safe thresholds. Instead of giving trading advice or predictions, the AI explains what is happening in plain language: market conditions, uncertainty levels, and common trader behavior during similar events. Users remain fully in control, choosing to learn more or continue trading. Users can choose “Explain more” for deeper context or “Continue anyway.” No predictions, no financial advice — just clarity to reduce panic and emotional decisions. Grounded in behavioral finance: 73% of retail traders make emotional choices, 45% leave after first loss. Our solution boosts retention up to 2.3x with clear communication. The prototype demonstrates a working end-to-end flow: risk detection → AI explanation → user choice. Market Guardian is compliance-first, educational by design, and built to improve trader confidence, platform trust, and long-term retention during volatile market periods. Market Guardian aligns with the Trading & Market Intelligence and Compliance & Risk tracks — reducing silent churn, strengthening user trust, and improving long-term engagement on Deriv. We’re a small, fast team ready to integrate and scale with Deriv.
7 Feb 2026
