Gopal S.

𝗧𝗵𝗲 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝗯𝗲𝗵𝗶𝗻𝗱 $𝟱𝟬𝗠/𝘆𝗲𝗮𝗿 𝗶𝗻 𝘁𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻𝘀, 𝟱𝟬𝟬𝗞 𝘂𝘀𝗲𝗿𝘀, 𝗮𝗻𝗱 𝗔𝗽𝗽𝗹𝗲-𝗴𝗿𝗮𝗱𝗲 𝘂𝗽𝘁𝗶𝗺𝗲. Senior backend engineer (Java, Spring Boot, Python) with AI built in. 4,100+ hours, $100K+ earned, 100% Job Success, and enterprise delivery for Apple, Fortune 50 food and beverage mncs, Vodafone, and Walmart. 👋 𝐇𝐢, 𝐈'𝐦 𝐆𝐨𝐩𝐚𝐥 𝐒𝐚𝐛𝐡𝐚𝐝𝐢𝐲𝐚. I've spent 13+ years in software engineering, and I've become the engineer teams trust when the backend simply cannot fail. I'm Expert-Vetted on Upwork (top 1%), Top 3% on Toptal, and a former Specialist Programmer at Infosys (their top 1%), where I built for Apple, British Petroleum, Vodafone UK, and Walmart. Right now I'm Tech Lead on a 500,000-user platform at US Pharmacopeia and a sustaining engineer on Fortune 50 food and beverage mnc's GenAI ordering system through Toptal. What that means for you: you're not handing your product to someone learning on your budget. You're getting an engineer who has already shipped the hard version of what you're trying to build. ⚙️ 𝗪𝗛𝗔𝗧 𝗜 𝗕𝗨𝗜𝗟𝗗 🔹 AI-integrated backends. RAG, LLM and agent workflows, vector search, wired into real Java or Python systems with Spring AI, LangChain, and the OpenAI and Anthropic APIs. Production, not demos. 🔹 Microservices that scale. Java 17/21 and Spring Boot, brittle monoliths broken into services that hold up under load. (Recently: a Java 8 to 25 migration with zero downtime.) 🔹 SaaS and FinTech platforms. Multi-tenant, zero-trust auth, payment and ledger logic that reconciles to the cent, audit trails, and the test pipelines that keep regressions out. 🔹 Full-stack when you need it. FastAPI, Flask, React and Next.js on top, so one engineer owns the whole arc from schema to screen. 📊 𝗪𝗛𝗔𝗧 𝗜'𝗩𝗘 𝗦𝗛𝗜𝗣𝗣𝗘𝗗 (𝗔𝗡𝗗 𝗪𝗛𝗔𝗧 𝗜𝗧 𝗥𝗘𝗧𝗨𝗥𝗡𝗘𝗗) ✓ $50M a year moves through a FinTech ledger I built. 99.99% accuracy, reconciles to the cent. ✓ 500,000 users sign in through a zero-trust auth platform I architected at US Pharmacopeia. ✓ 2,500+ venues run on Bar.Stream, where a human-in-the-loop RAG engine I built replaced manual product classification, and 200+ automations replaced manual data entry. ✓ 100% invoice-parsing accuracy from an AI agent I built for MPI, manual reconciliation gone. ✓ 60% faster APIs and zero-downtime modernization for 50,000+ educators on KigaPortal. ✓ 75% more API throughput on Apple's repair backend. Few engineers can put Apple, Fortune 50 food and beverage mncs, a $50M ledger, and production AI on one page. I can, and I can walk you through the architecture and the numbers behind every one. 🛠️ 𝗦𝗧𝗔𝗖𝗞 Java · Spring Boot / Cloud / Security / AI · Python · FastAPI · Node.js · RAG · LangChain · LLM + vector databases · OpenAI + Anthropic · PostgreSQL · MySQL · MongoDB · Elasticsearch · AWS · GCP · Docker · Kubernetes · CI/CD · microservices · event-driven 🌟 𝗛𝗢𝗪 𝗜 𝗪𝗢𝗥𝗞 You work directly with me. Not an agency, not a rotating team, and not a junior building it while a senior name sits on the invoice. I take your idea from a rough brief to a written spec, then I build it: architecture, code, the hard parts, and the reviews. I've carried year-long builds end to end on my own, so nothing gets lost in a handoff. I keep it efficient. You get working software and a clear weekly update, not a week full of standups. I'm on a call when it actually matters, and when something is at risk you hear it from me early, before it breaks. You set direction, I run the build. 📩 𝗟𝗘𝗧'𝗦 𝗕𝗨𝗜𝗟𝗗 𝗜𝗧 Send me a short note: what you're building and where it's stuck. Within a day you'll get a straight read back, how I'd approach it, the first risk I'd kill, and the one question I'd want answered before we start. If I'm not the right engineer for it, I'll tell you that too.