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2.29.0

suvasism

suvasis mukherjee@suvasism

4

Events attended

4

Submissions made

3+ years of experience

About me

I have 20+ years of experience in tech industry. SUMMARY - Applied Machine Learning/Deep Learning Engineer having 10+ years of experience in AI stack and highly scalable software product development, working at Oracle SOA platform. - Strategic mindset and experience in working across organization to solve problems using applied Deep Learning & Machine Learning techniques, scientific data management, data clustering, automated feature detection, web-based application development for data related capabilities. - Design and advance the Machine Learning learning application methodologies and applied practices across multiple domains. - Strategic mindset and experience in working across organizations to solve financial data analytics problems using Machine Learning techniques, scientific data management, and automated feature detection. - Technical acumen Technical acumen to convey the complex ideas in very articulate and intuitive manner for the different levels of audience from executives to technical contributors.

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🤓 Latest Submissions

    MEV Shield: Micropayment-Gated Mempool AI

    MEV Shield: Micropayment-Gated Mempool AI

    MEV Shield is a real-time pre-trade intelligence layer for DeFi traders and autonomous agents. It captures live Ethereum mempool transactions from multiple sources (PublicNode, Alchemy, Infura), scoring each pending swap using proprietary microstructure signals — Hawkes process order-flow clustering, Kyle's Lambda price impact, and VPIN toxicity — to detect sandwich attacks and frontrunning risk before execution. Each transaction receives a cliff score (VPIN × LOB depth × gas Z-score) that quantifies extraction probability. Pools are monitored continuously with per-pool intelligence cards showing Hawkes intensity, Kyle's Lambda impact, and next-attack timing estimates. Bot fingerprinting clusters known MEV addresses by behavioral signature. Intelligence is delivered as a metered API where consumers pay $0.01 per alert via Nitrolite ERC-7824 off-chain state channels, eliminating per-query gas costs. Payments are cryptographically signed ECDSA state updates — verifiable without touching the chain. When accumulated payments reach a threshold, the channel closes via a Flashbots MEV-protected transaction and settles autonomously as a real USDC transfer on-chain via Circle Arc developer-controlled wallets, confirmed on ETH-Sepolia. Claude, AIsa.one provides pre-trade risk assessments on every fifth alert, combining quantitative microstructure signals with natural language recommendations covering slippage tolerance, private mempool routing, and sandwich guard configuration. AI agents can autonomously consume and pay for real-time financial intelligence. No subscriptions, no API keys per user, no manual settlement — just a self-sustaining micropayment loop. Live mempool data flows in, off-chain ECDSA payments accumulate, on-chain USDC settles when the threshold is reached. DeFi traders lose an estimated $1-3B annually to MEV extraction. MEV Shield is the pre-trade defense layer that makes institutional-grade microstructure analysis accessible at $0.01 per query.

    Hackathon link

    26 Apr 2026

    ForgeClaw x Kraken Autonomous Crypto Trading Agent

    ForgeClaw x Kraken Autonomous Crypto Trading Agent

    orgeClaw × Kraken is an autonomous crypto trading agent built on a production-grade stack that goes far beyond a simple trading bot. The agent pipeline executes 7 sequential Temporal activities: connecting to the Kraken CLI MCP server for market data, fetching AI signals from PrismaAPI, computing RSI(14) and VWAP deviation analysis with volume confirmation, gating each trade behind an ERC-8004 USDC micropayment for trustless execution, executing paper trades with 10% position limits and 2% stop loss enforcement, tracking realized PnL with a FINRA-style SQLite audit log, and delivering formatted trade summaries to Slack. ForgeClaw acts as the design-time layer — a BPMN agent composer (forgeclaw-app.vercel.app) that generates Temporal workflows from visual pipelines. VerifyClaw scans every agent skill against 25 SAFE-MCP threat patterns before deployment, with a max risk score of 3/100 on this agent. Redpanda streams all trade events across 5 Kafka-compatible topics in real time. The dashboard is a pixel-accurate Kraken Pro replica with live signal feed, agent workflow panel, executor, trade history, PnL analytics, open orders, Slack log, and ERC-8004 payment ledger — all backed by a FastAPI service proxied through nginx and pulling from SQLite on every cycle. Clicking Run Agent fires a real Temporal workflow end-to-end, not a simulation. Infrastructure: Temporal + PostgreSQL for durable orchestration, Redpanda for event streaming, nginx reverse proxy, Docker Compose for one-command deployment.

    Hackathon link

    12 Apr 2026

    ChartSeek AI Search for Trading Education Videos

    ChartSeek AI Search for Trading Education Videos

    ChartSeek: AI-Powered Trading Education Video Intelligence Traders face an overwhelming challenge: thousands of hours of educational videos, yet finding that moment explaining a "head and shoulders pattern" means scrubbing through endless footage. Traditional search fails because traders need to find visual chart patterns, not just spoken words. The Industry Gap Current video platforms offer only keyword search against titles and descriptions. Trading platforms like TradingView, Investopedia, and YouTube provide no way to search inside video content. Enterprise solutions cost $50K+ annually yet still can't match visual patterns. Traders waste hours rewatching purchased content, unable to locate specific setups. This gap costs traders their most valuable resource: time for analyzing live markets. How ChartSeek Bridges This Gap ChartSeek combines OpenAI's CLIP visual understanding with Whisper speech recognition. Unlike keyword search, ChartSeek understands what's visually on screen. Search "bullish engulfing on support" or "descending triangle breakdown"—and instantly jump to that exact frame, even if never explicitly mentioned by the instructor. The system transcribes spoken commentary, extracts representative keyframes, and generates visual embeddings. Searches query both transcript and visual index simultaneously, returning ranked results with confidence scores. Technical Foundation Built on TheAgenticAI's CortexON multi-agent framework with OpenAI Codex workflow architecture. Runs 100% locally using open-source models—zero API costs, complete privacy for proprietary strategies. Key Capabilities - Visual pattern search by description - Cross-modal text-to-image matching - Automatic timestamped transcription - Instant clip extraction ChartSeek delivers 90% reduction in search time, transforming passive video libraries into queryable intelligence. Less searching, more trading.

    Hackathon link

    7 Feb 2026

    MEV-shield circle payment

    MEV-shield circle payment

    Problem: Monthly subscriptions ($50-$500) for MEV analytics waste capacity, block AI agents from autonomous access, and traditional payment fees (~$0.30+2.9%) make pay-per-query impossible. Solution: x402 micropayments enable humans and AI agents to pay only for what they use. How it works: x402 Protocol: Returns HTTP 402 with exact price ($0.01-$0.05/query)—machine-readable pricing replaces opaque tiers Circle Wallets: Onchain treasury with guardrails ($1/tx, $10/day)—AI agents spend autonomously without human approval Arc Network: Near-zero fees (~$0.003) settle $0.05 payments in ~2 seconds using native USDC gas.

    Hackathon link

    24 Jan 2026

👉 Upcoming Hackathons

    AMD Developer Hackathon

    AMD Developer Hackathon

    Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 🤝 Go solo or team up — ship something real. 💰 $21,500+ total prize pool & 1 × AMD Radeon™ AI PRO R9700 GPU up for grabs. 📍 On-site Venue (May 9-10): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.

    2026 May 4

     Transforming Enterprise Through AI

    Transforming Enterprise Through AI

    📅 May 11–19, 2026 • May 11 – 19: Online Build Phase. • May 18 (Hybrid Build Day – Online & Onsite) • May 19 (Demos & Awards – Online & Onsite) 🌍 Hybrid event. Join online from anywhere or build onsite at the venue. 🏆 Winners will be announced live on stage at the AI & Big Data Expo North America on May 19 📍 On-site Venue (May 18–19): San Jose McEnery Convention Center, CA, USA 🤝 Join solo or with a team. 🏆Compete for a $10,000 prize pool 🧑‍💻 Apply now to design, prototype, and showcase enterprise-ready innovation.

    2026 May 11

    AI Agent Olympics Hackathon

    AI Agent Olympics Hackathon

    ⏱️ Build the next generation of Autonomous Agents in the heart of Europe’s AI Revolution. 📅 May 13 – 20, 2026 May 13 – 19: Online Build Phase. May 19: Onsite Build Day. May 20: Demo Showcase & Awards Ceremony. 📍On-site Venue (May 19–20): Fiera Milano (Rho), Milan, Italy 🤝 Join solo or with a team. 💰 $28,000+ prize pool 🧑‍💻 Apply now to turn your autonomous agent into a market-ready enterprise solution.

    2026 May 13

👌 Attended Hackathons

    Agentic Economy on Arc

    Agentic Economy on Arc

    In this hybrid hackathon powered by Arc and Circle, developers will build the next generation of Agentic economic applications using Circle’s Nanopayments infrastructure with settlement on Arc in USDC. For the first time, high-frequency, usage-based transactions between users, APIs, and AI agents can operate without gas overhead eroding margin. Arc provides stablecoin-native settlement with predictable, dollar-denominated USDC fees and deterministic, sub-second finality — enabling real-time coordination and economically viable per-action pricing at scale. 📅 April 20 – 26, 2026 • Apr 20 – 25 (Online): Submit projects by Apr 25. • Apr 25 (On-site Build – SF, CA): Teams refine projects. • Apr 26 (On-site Demos & Awards – SF, CA): Live pitches & winners announced. Get guidance from Arc and Circle experts through on-site support. 📍 On-site Venue (April 25-26): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 🤝 Go solo or team up, it's your flow. 🏆 Compete for a $15,000+ Prize Pool. 📍 Please note: If approved for the on-site experience, you’ll also have the opportunity to showcase your project live. Travel and accommodation will not be covered. 🧑🏻‍💻 Secure your spot now – sign up before the Kick-Off Stream!

    AI Trading Agents

    AI Trading Agents

    ⏱️ Design, build, and deploy trustless AI trading agents. 📅 March 30 – April 12, 2026 🌐 Build AI trading agents that execute strategies using ERC-8004 or Kraken CLI. 🤝 Build solo or in teams to create autonomous trading, risk, yield, or protection agents. 💰 $55,000 prize pool, allocated and shared via Surge and Kraken. Your team should have registered project at early.surge.xyz in order to be eligible for the prize. Get access in your team profile or our discord 🔑 Access to early.surge.xyz If prompted for login credentials, use: • Username: admin • Password: JBRv2xWG7AzwVrLz88

    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

    Agentic Economy on Arc

    Agentic Economy on Arc | Certificate

    View Certificate
    Agentic Commerce on Arc

    Agentic Commerce on Arc | Certificate

    View Certificate
    Deriv AI Talent Sprint

    Deriv AI Talent Sprint | Certificate

    View Certificate