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balaji-kartheek

Balaji Kartheek Thiruveedhula@balaji-kartheek

5

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

siddhartha img

Siddhartha Bhat

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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.

🔥 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

    SURGE × OpenClaw Hackathon

    SURGE × OpenClaw Hackathon

    ⏱️ 4 weeks to design and ship a working Web3 product or AI agent. 📅 February 4 to March 1, 2026 • Feb 4 – Hackathon opens. Teams can start building and submitting. • Feb 5 to March 1 – Build, test, and iterate. • March 1 – Final submissions due. 🚨 Important eligibility reminder To be eligible for prizes, teams must post their submission video on X and tag @lablabai and @Surgexyz_. 🤝 Build solo or with a team. 💰 $50,000 prize pool in $SURGE Token. ⚠️ Self-service hackathon This is a fully self-service hackathon. There are no live streams, kickoff sessions, or scheduled workshops. Participants can register, build, and submit at any time before the submission deadline.

    The Rise of AI Agents Hackathon

    The Rise of AI Agents Hackathon

    ⏱️ Design, build, and launch a real-world AI Agent - As part of Dubai AI Week 📅 Fall 2026 / TBA 🏆 $60,000+ prize pool 🤝 Join solo or with a team. 📍 Location Deriv Offices, One by Omniyat, 24th Floor, Al Mustaqbal Street, Business Bay, Dubai, UAE On-site participation is by invitation only. Travel and accommodation are not covered. 🧑‍💻 Apply now and build the next generation of AI Agents.

    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

📝 Certificates

    Deriv AI Talent Sprint

    Deriv AI Talent Sprint | Certificate

    View Certificate