SV P.

I design and build full-stack software, AI/ML applications, enterprise integrations and Web3 products. I work hands-on from architecture through frontend, backend, data, testing and release readiness. I bring 11+ years in software engineering and enterprise automation. I'm Top Rated Plus on Upwork, with $50K+ earned. My main stack includes Python, React, Next.js, TypeScript, Node.js, FastAPI, PostgreSQL, MongoDB and Redis. I can lead a technical workstream while implementing and debugging the code myself. FULL-STACK SOFTWARE ARCHITECTURE I extend existing SaaS platforms and build new application features: authenticated dashboards, APIs, database-backed workflows, real-time updates, background jobs and third-party integrations. In a multi-service enterprise AI product, I implemented React/Next.js connection flows, workspace controls, OAuth consent, typed API handling and room-specific application state. I also worked across Node.js execution services, identity boundaries and task persistence. I trace defects across browser, API, queue, database and provider rather than treating each layer in isolation. AI PLATFORMS & AUTONOMOUS APPLICATIONS My platform work includes MCP integration across five services, A2A external-agent connections, OAuth and credential custody, delegated permissions, task admission and safe recovery. I integrated external AI clients with an existing execution system so native identity, approvals, pending work and final results remained authoritative. I extended an existing autonomous App Builder with requirements-to-code workflows, backend/UI contracts, full-bundle checks, bounded repair, private drafts and revision-safe edits. I also implemented recoverable application-job state on a separate development branch. These are specific engineering contributions within a larger team-built platform, not claims of sole ownership or universal production deployment. MACHINE LEARNING, ANALYTICS & DECISION SYSTEMS I develop Python analytics and ML prototypes involving feature preparation, regression and demand forecasting using scikit-learn, pandas, NumPy, SciPy and Streamlit. My work includes Random Forest, Gradient Boosting, neural-network regression, Monte Carlo safety-stock simulation, reorder planning, competitor-price analysis and purchasing decision rules. I distinguish trained predictions, statistical simulations and business rules, and I establish appropriate validation before claiming model accuracy or commercial improvements. I can integrate analytical outputs into APIs, dashboards and approval workflows. WEB3 & BLOCKCHAIN I work on blockchain-connected applications, React/TypeScript trading and wallet interfaces, smart-contract integrations and Web3 workflows. My experience includes Solidity, Ethereum-compatible development, Ethers.js, Hardhat, OpenZeppelin and Solana-related interfaces. I pay attention to pending/failed transaction states and consistency between on-chain events, backend records and the UI. I have also worked on stablecoin-liquidity software through an Upwork engagement. BUSINESS SYSTEMS & ENTERPRISE AUTOMATION For an aviation operation, I architected and implemented a 24/7 Python service using Google Cloud, Microsoft Graph and messaging integrations for request classification, location-based routing, acknowledgement, response tracking, escalation and reporting. I have worked on a hospitality revenue-management product using Next.js, FastAPI, PostgreSQL/pgvector and LangGraph decision workflows, connecting pricing recommendations to human review and audit records. Earlier enterprise work includes SAP/Oracle finance automation, API integrations, document workflows and management of more than 200 production automations. I am an Automation Anywhere Certified Master and UiPath Certified Solution Architect. DOCUMENT AI, VOICE & APPLIED AI My broader work includes RAG/document research, extraction, classification, multi-agent summarization, speech-to-text, voice-enabled workflows and computer-vision applications. I combine models with reliable business logic, permissions, integration and review rather than treating an LLM response as a finished product. HOW I WORK I start with your problem and the existing implementation. We agree on the expected behaviour, what must remain intact, failure cases and a useful first milestone. Then I implement, test and document the change. I can contribute as a hands-on architect, senior full-stack engineer or specialist AI/ML and Web3 developer. For confidential work, I can discuss my contribution through anonymized architecture and permitted demonstrations. If you are building a product or fixing a difficult integration, share the current state and what needs to work.