🚀 Full Stack Software Engineer | Agentic AI · Backend & Data Platforms
🧠 I design, build, and scale production-grade systems — from multi-tenant backends to agentic AI platforms running at enterprise scale.

Currently SDE II (Full-Stack) at RevSure.AI, building agentic AI infrastructure, MCP servers, and large-scale data platforms. I specialize in backend-heavy full-stack engineering, LLM infrastructure, and data platforms that serve real users, real revenue, and real scale.

Build systems that are scalable, observable, secure, and boring in production —
while being powerful, flexible, and fast to evolve.

I enjoy ambiguous problem spaces where architecture, data, AI, and business constraints intersect.

• 🔹 Agentic AI Platform Infrastructure — LangGraph workflows, MCP servers, Temporal orchestration, tool calling
• 🔹 Multi-Tenant Backend Systems — OAuth 2.0, RBAC, feature toggles, 99.9% uptime
• 🔹 Large-Scale Data Platforms — 100M+ records, distributed query optimization
• 🔹 Production APIs & Dashboards with measurable business impact
• 🔹 Cloud-native deployments with CI/CD, monitoring & SLAs

• Shipped a production multi-agent platform on LangGraph/LangChain with Temporal orchestration handling 10K+ autonomous runs/month
• Architected MCP servers (FastMCP) exposing BigQuery & backend APIs as tools on GKE with RBAC and rate limiting — collapsing analyst workflows from hours → minutes
• Built an event-driven agent architecture on GCP Pub/Sub + Cloud Functions powering web monitors (Navattic, RB2B, Parallel.ai) and LinkedIn engagement triggers, with pause/resume/terminate controls
• Built OAuth 2.0 integrations for Gmail, SendGrid, Calendly plus Salesforce/HubSpot/Marketo/LinkedIn writeback

• Engineered 50+ Spring Boot REST APIs for spend optimization, scenario planning, response curves & campaign allocation
• Multi-tenant architecture with feature toggles serving 100+ enterprise clients at 99.9% uptime
• Optimized distributed queries across ClickHouse, BigQuery, PostgreSQL, Firestore — 60% faster over 100M+ records
• Parallel LLM batching cut email generation from ~20s → ~8s; delivered 15+ React/Next.js surfaces

• Built end-to-end SaaS (Next.js, React, TypeScript, Java Spring Boot) processing $2M+ multi-currency transactions/year
• Integrated ClearTax APIs for GST compliance
• Built an AI-powered resume-screening tool (Flask, LLaMA 13B via HuggingFace, Chrome Extension APIs) with ~85% fit-score accuracy
• Cut page loads 25% via query/indexing tuning; ran CI/CD (Jenkins, Docker, AWS) with zero-downtime releases

• Deploying Deep Transfer Learning Models to a Web-App for SARS-CoV-2 Detection Using Chest Radiography Images — IEEE ICEECCOT 2021 · DOI · Code
• Automated Dimensional Analysis and Defect Recognition Using X-ray Images of Machinery Parts — IEEE I2CT 2021 · DOI
• Glaucoma Detection Web Application — ICDI3C 2023 (ISBN 979-8-3503-9556-3) · Code

• B.E. Electronics & Communication Engineering — MVJ College of Engineering (VTU), 2018–2022 · CGPA 8.85/10, First Class with Distinction
• PUC (12th, PCME) — MES PU College, 2016–2018 · 87.5% (Distinction)
• SSLC (10th) — St. Lawrence High School, 2016 · 96.16% (A+ all subjects)

• 🥇 Winner — Microsoft Azure Developer League Hackathon Quiz (2021)
• 🤖 Finalist — IIT-Bombay e-Yantra Robotics Competition
• 🏅 Top 5 — Microsoft MNR-MTA Hackathon 2020
• 🥈 Runner-Up — Game Oasis Hackathon (2019)

• AI Platform Engineering · LLM Infrastructure & Agentic Systems
• Backend / Data Platform Ownership
• Senior / Staff-level Roles
• High-impact, technically ambitious teams

📧 Email: satyamozar@gmail.com
🔗 LinkedIn: satyam-oza-r
🐦 X / Twitter: @satyamozar
💻 GitHub: SatyamOzaR

⭐ If you're building something complex, data-heavy, or AI-native — I'd love to talk.