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2.10.0

balaji-kartheek

Balaji Kartheek Thiruveedhula@balaji-kartheek

1

Events attended

1

Submissions made

2+ years of experience

About me

I have hands-on experience building AI systems using LLMs, retrieval-augmented generation (RAG), and vector databases to solve real engineering and QA problems. I’ve designed and deployed cloud-hosted AI applications with structured evaluation, regression testing, and explainability in mind. My work focuses on moving beyond demos to reliable, production-ready AI workflows.

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🤝 Top Collaborators

nevilshah235 img

Nevil Shah

I am a Senior AI and MLOps Engineer with six years of experience building production-grade AI systems across large language models, computer vision, and deep learning. My work spans LLM platforms, RAG systems, and GPU-backed inference infrastructure, as well as vision models deployed under real-world constraints. My work focuses on taking AI systems from research and experimentation to reliable, scalable production. I work extensively on optimizing latency, infrastructure cost, and hallucination risk under real-world traffic, and on making deep learning models robust enough for continuous operation in production environments. I enjoy solving the unglamorous but critical problems that make AI systems actually usable. I have designed and deployed end-to-end AI pipelines across startups and enterprise environments, including computer vision and deep learning workflows, LLM evaluation frameworks, retrieval and reranking systems, inference serving stacks, and autoscaling infrastructure. I care deeply about maintainability, observability, and operating AI systems that remain stable at scale. On lablab.ai, I am interested in collaborating on practical AI projects, especially around agentic systems, evaluation, safety, computer vision, and AI infrastructure that bridges research and real-world constraints.

siddhartha img

Siddhartha Bhat

🔥 Own Projects

    DeepFake Detection

    DeepFake Detection

    Designed and Developed end-to-end scalable Deep Learning Project. It is a detection system trained using InceptionV3(CNN model) + GRU(Sequential model) model to classify a video as Real or Fake. Obtained the test accuracy of 89%.

🤓 Latest Submissions

    InsightX - Turn Trades Into Learning Moments

    InsightX - Turn Trades Into Learning Moments

    Most trading education platforms focus on teaching strategies and indicators. InsightX focuses on teaching *the trader*. InsightX is an AI-powered personalised trading education system that uses a trader’s own past trades as the primary learning material. Instead of generic lessons, the system analyses completed trades, market context, and behavioural patterns to generate clear, non-judgmental explanations such as: “The market did X, and in similar situations, you tend to do Y.” Each completed trade becomes a single “learning moment.” Before showing the explanation, InsightX prompts the trader to reflect on their decision, encouraging engagement and reducing defensiveness. Based on recurring patterns, the system adapts its explanations and recommends what the trader should learn next, effectively creating a personalised curriculum shaped by real trading behaviour. InsightX transforms trading education from passive information into active, reflective learning grounded in real experience.

    Hackathon link

    7 Feb 2026

👌 Attended Hackathons

    Complete AI Hackathon

    Complete AI Hackathon

    Teams work together with multiple AI agents in shared workspaces to design, build, and launch complete AI products — from initial idea to market-ready app. 📅 February 23– March 1, 2026 ⏱️ 6 days to build and ship an end-to-end agentic AI product 🤝 Work together in shared AI workspaces where your team and AI agents collaborate in real time 🔧 Build with multiple AI agents that handle development, design, testing, and documentation together 🎯 Create everything in one place — from ideation to product to marketing materials, all by prompting and observing 🚀 Focus on real-world products that teams could actually ship and use 🏆 $3,500 in prizes + premium 3-month Complete.dev access for top teams 🧑‍💻 Join your team workspace and start building together

    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