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2.0.4

bk_ifti251

Bakhtawar Iftikhar@bk_ifti251

2

Events attended

2

Submissions made

1 year of experience

About me

I'm a graduate electrical engineer with a postgraduate degree in AI. My previous experience was working for a sports-tech startup, developing their ML/CV pipeline to analyze and predict errors in bowling movements. I also have experience with Agentic AI, primarily building with LangChain.

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🤝 Top Collaborators

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Perushen Moodley

Unicorn breeder x Fund manager

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Muhammad Mubashir Alam

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legen adapole

Fullstack developer with experience in NodeJs, React, mongodb, typescript, cloud computing (aws,gcp), and some python skills. Been working on 3D animation and game dev, with some AR/VR works.

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Meeran Ali Khan

🤓 Latest Submissions

    Adaptifleet

    Adaptifleet

    Traditional warehouse automation has improved efficiency, yet many systems remain rigid, expensive, and difficult to adapt when workflows or layouts change. Even small adjustments often require specialized expertise or time-consuming reprogramming. This creates a disconnect between what operators need robots to do and how easily they can communicate those needs — a challenge we call the “Human Intent Gap.” AdaptiFleet was designed to close this gap by enabling intuitive, AI-driven fleet control. Instead of relying on complex interfaces or predefined scripts, users interact with autonomous robots using natural language. Commands such as “Get me three bags of chips and a cold drink” are interpreted and translated into structured robotic tasks automatically. At its core, AdaptiFleet leverages Gemini-powered Vision Language Models (VLMs) to understand user intent and visual context. Robots operate within a dynamic decision framework, allowing them to adapt to changing environments rather than follow rigid, pre-programmed routes. The platform integrates a digital twin simulation stack built on Isaac Sim, enabling teams to validate behaviors, test workflows, and optimize multi-robot coordination before live deployment. Once deployed, ROS2 and Nav2 provide robust navigation, dynamic path planning, and collision avoidance. The VLM orchestration layer continuously analyzes visual inputs to support scene understanding, anomaly detection, and proactive hazard awareness. When conditions change, AdaptiFleet autonomously re-plans routes and tasks, reducing downtime and operational disruption. By combining conversational interaction, real autonomy, and simulation-driven validation, AdaptiFleet simplifies robotic deployments while improving efficiency and visibility. The result is an automation system that is adaptive, scalable, and aligned with how people naturally work.

    Hackathon link

    15 Feb 2026

    DAIA - Deriv AI Analyst

    DAIA - Deriv AI Analyst

    DAIA (Deriv AI Analyst) is a real-time enterprise observability platform built for Deriv's business operations. It monitors Active Daily Users, Trading Volume, Regional Performance, Platform Health, and Instrument Activity, automatically detecting anomalies requiring executive attention. The system uses a 4-layer intelligence pipeline: a Correlation Engine for streaming telemetry, an LLM Reasoning Agent for contextualizing deviations, a Severity Scorer using z-score analysis, and an Executive Briefing Generator for actionable reports. DAIA operates through three Gemini-powered agents: Agent 1 (Analyst): Performs statistical anomaly detection across regions (NA, EU, APAC), platforms (Trader, MT5), and instruments (Synthetics, FX, Stocks) using rolling baselines, percentage deviations, and z-scores. Agent 2 (Reporter): Generates executive briefing reports with Market Overview, Regional Drivers, Risk Commentary, and prioritized Action Items with timelines. Reports are downloadable. Agent 3 (Advisor): Interactive chat interface for follow-up questions, root cause analysis, and investigation path exploration using live analysis data. The platform features a healthy-to-anomaly state transition. By default, the dashboard shows all systems nominal. When new telemetry is uploaded, the system processes it in real-time — KPI cards turn red, trend charts reveal drops, regional charts expose impacted areas, and an investigation path traces the anomaly from region to platform to instrument. Key features: live CSV upload with Gemini analysis, 28-day ADU trend chart, dynamic regional and instrument charts, auto-generated executive reports, and persistent AI chat for deep-dive investigation. The backend uses Python/Streamlit with 3-tier anomaly detection. The frontend uses React, TypeScript, Recharts, and Gemini API via Google AI Studio. DAIA transforms raw business telemetry into executive intelligence — turning data noise into actionable decisions within seconds.

    Hackathon link

    7 Feb 2026

👌 Attended Hackathons

    Launch and Fund Your Own Startup-Edition 1

    Launch and Fund Your Own Startup-Edition 1

    Join our $1,000,000+ startup challenge series powered by Surge 📌 This announcement outlines the launch of a Global Human+AI Exchange — aligning universities, global cities, talent networks, and industry to accelerate human-centered AI innovation, technology transfer, and economic growth. 👉 Read more here ⏱️ 8 days to turn your idea, or existing product, into an investable demo. 📅 February 6 - 15, 2026 • Feb 6 - 14 (Online Phase) - Collaborate and build online with developers and AI innovators from around the world. All projects must be submitted by the end of the online phase on February 14th. 🕙 Doors open at 10:00 AM, first come, first served. • Feb 14 (On‑site Build Day) - Selected participants will be invited to an exclusive in‑person session to refine their projects and connect directly with mentors. • Feb 15 (On‑site Demos & Awards) - Live pitching sessions to a panel of judges and ecosystem partners, followed by the official winner announcement. 🌟 Get feedback from startup mentors and technical experts. 📍 On-site Venue (Feb 14–15): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📲 Real-time on-site updates (SF) For real-time announcements and information during the on-site portion (Feb 14–15), join the LabLab SF Chapter WhatsApp group: 👉 Join the WhatsApp group 🤝 Join solo or with a team. New founders and existing startups are welcome. 🏆 $1,000,000+ in credits, token prizes, perks and funding opportunity. 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Apply now to build, validate, and pitch with purpose.

    Deriv AI Talent Sprint

    Deriv AI Talent Sprint

    Join Deriv and lablab.ai for a high-intensity hybrid hackathon where top builders create AI prototypes, demo their work, and get fast-tracked to interviews. When • Sat, Jan 31, 2026- On-Site Pre-Hackathon: Deriv AI Meetup (Dubai) • Fri, Feb 6 - Opening words, Challenge, and Hackathon kick-off. (Dubai) • Sat, Feb 7 - Build and ship your prototype - 12 hours (Onsite +Online) • Sun, Feb 8 - Demos, judging, and next steps for standout teams. (Onsite +Online) On-Site Pre-Hackathon: Deriv AI Meetup Sat, Jan 31, 2026 · 2:00–6:00 PM (GST) · Dubai In-person talks, workshops, team formation, and networking with the Deriv team. 👉 Deriv AI Meetup registration What's in it for you • USD $10,000+ in prizes across categories • Mentors available to unblock you when you're stuck • Fast-track interviews for top performers - skip the queue • Real problems to solve - not toy demos Format • Teams of 1-3 • Hybrid: Dubai on-site or fully remote • On-site spots confirmed after screening Location • One by Omniyat, 24th Floor, Al Mustaqbal Street, Business Bay, Dubai, UAE • Travel and accommodation not provided. Apply now • Spots are limited. Shortlisting begins right after the event.

📝 Certificates

    Deriv AI Talent Sprint

    Deriv AI Talent Sprint | Certificate

    View Certificate
    Launch and Fund Your Own Startup-Edition 1

    Launch and Fund Your Own Startup-Edition 1 | Certificate

    View Certificate