About | Mehul Jariwala

I'm Mehul Jariwala, a full-stack engineer with 8+ years of experience delivering scalable web applications and robust platform capabilities. I focus on AI/ML engineering — building LLM-powered agents, RAG systems, and production-grade AI integrations.

I've worked with companies like IBM, Publicis Sapient, and built solutions for clients including Amazon, Tesco, Walmart, and Flipkart. Currently, I'm a Founding Engineer at FasterOutcomes, building a Legal AI platform.

What I Do

AI & Automation — Building intelligent workflows and AI-powered features using modern LLMs, agents, and automation tools
Full-Stack Development — Building scalable web applications with modern technologies and best practices
API Development & Integration — Designing and integrating robust REST/GraphQL APIs for seamless system communication
Data Engineering & Analytics — Designing pipelines, dashboards, and analytics to turn raw data into actionable insights
Cloud Infrastructure & DevOps — Setting up and managing cloud infrastructure with CI/CD pipelines and automation
Security & Performance — Implementing secure coding practices, optimizing performance, and ensuring scalability under heavy loads
UI/UX Design — Creating intuitive user interfaces and interactive prototypes for better user experience
Mentorship & Collaboration — Guiding teams, reviewing code, and fostering collaboration to deliver high-impact solutions

Skills

Programming Languages

JavaScript, TypeScript, Python (FastAPI), Java

AI Stack

RAG, AI Agents, LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, N8n, LLM Training, Pinecone, Temporal, Mistral, OCR, Hugging Face

Frameworks & Libraries

React.js, Next.js, AngularJS, Svelte, Vue.js, Node.js, NestJS, GraphQL

Databases

MySQL, MongoDB, PostgreSQL, AWS DynamoDB, CouchDB, CosmosDB, DB2

DevOps & Tools

Docker, Kubernetes, CI/CD (GitHub Actions, GitLab CI), Webpack, Rollup, Git, JIRA, Splunk, New Relic, Grafana, Prometheus, OpenTelemetry, DataDog, ELK Stack

CSS & UI

Tailwind CSS, Material-UI, Bootstrap, Ant Design, Highcharts, D3.js

Testing

Jest, Cypress, Playwright, PyTest, Selenium

Messaging & Streaming

Kafka, RabbitMQ, Zookeeper

Web Development

Micro frontends, RXJS, HTML5, CSS3, ES5–ES7, Web Accessibility Standards, Responsive Design, Cross-browser Compatibility

Experience

FasterOutcomes — Aug 2025 - Present

Lead Full Stack + Gen AI/ML - Founding Engineer

Building a next-generation Legal AI platform that turns raw legal data into actionable insights and dramatically reduces lawyer workflows.

Project: Legal AI Platform — Chunk-based ingestion with vector-backed retrieval powering draft generation, clause suggestions, redlining, deposition prep, and courtroom-ready summaries grounded by Temporal workflows.

Architected microservices-based ingestion with chunking, vector DB storage, and ElasticSearch for fast, citation-backed retrieval
Orchestrated LLM pipelines using LangChain/LangGraph with Temporal and n8n to coordinate multi-model workflows and retries
Delivered GenAI-powered drafting (briefs, clauses, depositions) with human-in-loop review to minimize hallucinations
Built intuitive React/Next.js interfaces for semantic search, multi-level summarization, and decision-support analytics
Established MLOps practices and custom model training for legal-specific embeddings and classification

React.js, Next.js, Tailwind CSS, Node.js, Python, Java, LangChain, LangGraph, OpenRouter, ElasticSearch, Vector DBs, Temporal, n8n, AWS, GenAI, MLOps

IBM — Jan 2025 - Aug 2025

Staff Software Engineer - IBM Labs

Led enterprise AI platform initiatives across IBM Labs, evolving large-scale observability and automation solutions while mentoring teams on AI-first delivery practices.

Project: AI-Powered Customer Analytics Platform & Observability Dashboard — Cloud-native system that visualizes engagement, predicts behavior, and automates workflows across AWS, Azure, and GCP.

Designed and deployed scalable microservices with FastAPI and Node.js on Docker/Kubernetes while enforcing observability standards
Built real-time and offline pipelines with Kafka, RabbitMQ, and webhooks for event processing and automation
Developed immersive analytics dashboards using React, Material-UI, and D3.js to showcase customer insights
Integrated ML/LLM capabilities (TensorFlow, Hugging Face) and orchestrated multi-agent systems via LangGraph, AutoGen, CrewAI
Implemented full-stack observability with Prometheus, Grafana, OpenTelemetry, New Relic, ELK Stack, plus resilience patterns for high uptime
Led cross-functional squads, mentored engineers, and established best practices for AI-first feature delivery

React.js, Next.js, D3.js, Node.js, FastAPI, Python, Kafka, RabbitMQ, Docker, Kubernetes, TensorFlow, Hugging Face, LangGraph, AutoGen, CrewAI, Prometheus, Grafana, ELK Stack, OpenTelemetry

Publicis Sapient — Apr 2022 - Dec 2024

Senior / Full Stack Experience Engineer

Led full-stack development across global online grocery platforms and internal enterprise tools, focusing on scalability, real-time performance, and automation.

Project: Omnichannel Grocery Platform & Identity Management System — Scalable ecommerce and admin systems deployed across UK, CEU, and APAC with integrations for delivery, location intelligence, and enterprise user management.

Built and scaled grocery shopping platforms for UK, CEU, and APAC, ensuring smooth backend integrations
Developed a lightweight delivery system in Thailand using Java, NestJS, and Kafka, improving delivery speed
Designed Python-based microservices with Flask and FastAPI for data handling and reporting
Created real-time data pipelines using Pandas and NumPy for behavioral analytics
Engineered a high-performance Bing Maps booking module using React, Redux, and Svelte
Built and maintained an Identity & Access Management platform with the MEAN stack
Developed an enterprise-grade Chrome extension for Single Sign-On (SSO) authentication
Optimized the frontend setup using Webpack, React Hooks, and Micro Frontends for modular architecture
Ensured system reliability and uptime with Splunk, New Relic, and Grafana monitoring under high load

React.js, Svelte, AngularJS, Redux, NestJS, Flask, FastAPI, Java, Python, Kafka, Google Maps API, Bing Maps API, MongoDB, Webpack, Micro Frontend, Splunk, New Relic, Grafana

Fitbots (OKRs) — Sep 2018 - Apr 2022

Senior Software Engineer - Founding Team

Early engineering team member at a fast-growing OKR startup, leading front-end architecture for a modular, scalable Employee Self-Serve Portal.

Project: Employee Self-Serve OKR Platform — A modular SaaS solution enabling organizations to align and track OKRs with performance insights and HR workflows.

Led front-end development of a 14+ module portal using React and Next.js, delivering a seamless user experience
Built a modular component library using Stencil JS and Tailwind CSS following Atomic Design principles
Implemented responsive layouts and accessibility-first interfaces using React, HTML/CSS, and SCSS
Ensured cross-platform compatibility and reusability of components for long-term scalability
Actively participated in Agile processes: daily standups, sprint planning, and retrospectives to drive continuous delivery

React.js, Next.js, Stencil JS, Tailwind CSS, HTML5, SCSS, JavaScript, Web Accessibility, Atomic Design, Agile

Education

Master of Computer Applications (MCA) — Jain University, Bangalore (2017–2019)
Gold Medalist | GPA: 9.1/10.0
Advanced program focusing on software engineering, distributed systems, and enterprise application development. Specialized in modern web technologies, database management, cloud computing, and project management.
Bachelor of Computer Applications (BCA) — Bhagwan Mahavir College, Surat (2014–2017)
GPA: 8.9/10.0
Comprehensive program covering fundamental computer science concepts, programming languages, and software development principles.

Get in Touch

Have an AI project in mind? Book a free 15-min call, email me, or connect on LinkedIn.