# Jonty Tejani > Software Engineer | Full-Stack | Golang, Node.js, Python | GenAI (LLMs, RAG), AWS | Scalable APIs, Distributed Systems | 5+ Years Experience Location: San Francisco, California, United States Profile: https://flows.cv/jonty I’m a Software Engineer with 5+ years of experience building backend-heavy and full-stack systems across consumer applications, e-commerce platforms, and healthcare projects. I enjoy working on scalable products where performance, reliability, and clean system design truly matter. My core strength lies in backend development using Node.js and RESTful APIs - designing services, refactoring legacy systems, optimizing database queries, and improving request performance in high-traffic environments. I’ve worked extensively with SQL databases, cloud-deployed services, containerized applications, and CI/CD pipelines to deliver production-ready solutions. On the frontend, I’ve built responsive and user-focused interfaces using React and Remix, collaborating closely with backend APIs to deliver smooth workflows across web and admin platforms. I also have hands-on experience integrating AI/ML capabilities into real-world systems, including embedding-based search, ranking logic, and LLM-powered retrieval workflows—always with a focus on practicality and measurable impact rather than overengineering. I thrive in Agile, cross-functional teams and enjoy collaborating with product, design, and AI/ML stakeholders to turn complex requirements into simple, effective solutions. I’m always eager to learn, improve system performance, and build software that creates real value for users. SKILLS: Backend Development: Go (Golang), Node.js, Python, Java, .NET, C#, C++, C, REST APIs, GraphQL, Microservices, NATS Streaming, Message Queues Databases & Caching: PostgreSQL, MySQL, MongoDB, Redis, SQL Query Optimization Frontend Development: React, Remix, TypeScript, JavaScript, Tailwind CSS, Server-Side Rendering, Three.js Cloud & DevOps: AWS (Lambda, EC2, S3), GCP, Azure, Docker, Kubernetes, CI/CD Pipelines, Git AI & Developer Tooling: LLM API Integration, Model Context Protocol (MCP), Backend API Design, Developer Tooling Tools & Practices: Agile/Scrum, Jira, Unit/Integration Testing (Jest, Mocha), Code Review, Performance Optimization ## Work Experience ### Software Engineer @ Influxer Jan 2024 – Present ● Re-architected Shopify e-commerce backend into modular Golang microservices, separating catalog, pricing, and order orchestration domains, optimizing relational schemas and indexed joins to reduce checkout latency from 900 ms to 250 ms across 500K+ SKUs during peak campaign traffic. ● Designed concurrent, event-driven service workflows using asynchronous processing and idempotent request handling to maintain checkout stability during large-scale athlete merchandise launches, serving high-volume promotional traffic. ● Developed a Python-based ranking engine leveraging athlete and university metadata with weighted scoring logic and offline evaluation, increasing average order value by 10% during promotional rollouts. ● Implemented embedding-driven product discovery and semantic classification pipelines using vector indexing and metadata filtering, improving internal search accuracy and reducing manual tagging effort by 35%. ● Integrated LLM-assisted content validation workflows supporting merchandising review and campaign publishing decisions, reducing manual QA effort and accelerating high-volume release cycles. ● Introduced centralized observability using structured logging, distributed tracing, and CloudWatch monitoring, reducing production issue resolution time by 30% and improve cross-service visibility. ● Led backend service boundary redesign, enabling independent deployments across commerce domains, reducing cross-service regression impact during releases. ### Full Stack Engineer @ Pro-Tek Consulting Jan 2023 – Jan 2024 ● Developed Node.js REST APIs managing ingestion, indexing, and role-based access workflows for enterprise document repositories supporting compliance-controlled analyst search across large document collections. ● Designed distributed preprocessing pipelines performing document chunking, metadata extraction, and embedding generation using asynchronous Python workers, enabling scalable semantic retrieval. ● Implemented retrieval-augmented workflows integrating LLM APIs, vector similarity search, and reranking logic to replace legacy keyword search systems, improving response relevance by 35% during evaluation benchmarks. ● Built React interfaces presenting AI-generated responses with citation metadata and source traceability, increasing adoption among analyst teams and reducing manual research effort. ● Containerized backend and AI services using Docker and integrated CI/CD pipelines enabling repeatable deployments across staging and QA environments. ● Introduced automated API and integration testing using Jest, reducing regression defects by 25% across sprint cycles ### Software Engineer @ Par Solution Jan 2018 – Jan 2021 | India ● Developed Node.js backend services supporting subscription billing, workout scheduling, and personalization workflows for a mobile fitness platform exceeding 1M downloads. ● Refactored monolithic Express architecture into modular service boundaries separating billing, content delivery, and personalization domains, improving throughput and reducing production defects. ● Implemented personalization APIs, storing behavioral preferences, enabling targeted workout and nutrition content delivery aligned to subscription tiers. ● Developed React workflows supporting onboarding and content discovery, improving engagement across paid subscription plans. ● Increased backend and UI test coverage from near zero to 50% using Jest and Mocha, significantly reducing recurring production incidents. ● Delivered Django and MySQL reporting applications supporting operational dashboards within Agile Jira delivery cycles. ## Education ### Master's degree in Computer Science California State University, Long Beach ### BE - Bachelor of Engineering in Computer Engineering Gujarat Technological University (GTU) ## Contact & Social - LinkedIn: https://linkedin.com/in/jontytejani - Website: https://jontytejani.com --- Source: https://flows.cv/jonty JSON Resume: https://flows.cv/jonty/resume.json Last updated: 2026-04-05