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3+ years of experience
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.

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.
12 Apr 2026

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.
7 Feb 2026

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.
24 Jan 2026