Jivesh Lakhani

AI Product Engineer | Founding Engineer

Experience

Founding Engineer

Delhi, India

Aug 2023 to Present

Joined as the sole developer while completing B.Tech; transitioned full-time in June 2025 and owned architecture and delivery with the CTO.
Built a multi-channel AI commerce platform across web, WhatsApp, and Instagram for 40+ Shopify stores, processing approximately 2M monthly storefront sessions and 20K+ monthly shopper interactions.
Owned the SaaS control plane, real-time agent services, embedded storefront widget, Shopify extensions, analytics, automations, and browser-based conversion tooling end to end.
Deployed and maintained 10+ production services across AWS, Azure, and Oracle Cloud using Docker, CI/CD, Dokploy, Nginx, and Linux.
Owned the hiring process for interns by preparing job descriptions, conducting interviews, and finalizing candidates; subsequently led and mentored the selected interns.

Designed a streaming agent runtime combining RAG, tool calling, memory, product recommendations, cart and order actions, voice, and human handoff across web, WhatsApp, and Instagram.
Built merchant onboarding and Shopify synchronization for products, pages, files, FAQs, and brand knowledge, with configurable prompts, skills, and channel-specific agent behavior.
Delivered analytics, segmentation, WhatsApp broadcasts, event-driven automations, cross-channel memory, order tracking, and human-agent handoff. Built Instagram comment moderation and multimodal post analysis for images and videos.

Built an interactive Page Agent that combines Meta ad context, Shopify product and brand data, captured page state, and merchant instructions to plan and apply storefront changes.
Created automated ad-to-landing-page workflows that analyze image and video creatives and generate audience-specific copy, media, and layout improvements.
Engineered Playwright services for mobile DOM and screenshot capture, interactive previews, visual verification, and safe publishing through Shopify app extensions and metafields.
Implemented a storefront runtime, visitor-level variant assignment, Web Pixel attribution, and A/B-test analytics across page views, carts, checkouts, and purchases.

Primarily architected and built an AI sales-development platform for Apollo-powered lead discovery, ICP qualification, website-informed personalization, campaign sequencing, and follow-up planning.
Created AI workflows for pitches, email sequences, calls to action, reply-intent classification, and CRM state transitions using OpenAI with Langfuse tracing.
Engineered domain provisioning, mailbox warm-up and queues, Gmail watch and history processing, inbound replies, bounce handling, Smartlead synchronization, and multi-tenant onboarding.

Co-developed a multi-account LinkedIn outreach platform with lead search and CSV import, campaign assignment, connection requests, acceptance messages, and scheduled follow-ups.
Built unified inbox and conversation synchronization, campaign analytics, background-job diagnostics, daily limits, working-hour controls, retries, and account-health workflows.

Languages: TypeScript, JavaScript, Python, Go, Java, C++

AI and LLM: OpenAI, OpenAI Agents SDK, Azure AI Foundry, Langfuse

Backend and data: Node.js, REST APIs, GraphQL, WebSockets, PostgreSQL, Drizzle ORM, Redis, MongoDB

Frontend: React, Next.js, Tailwind CSS, shadcn/ui, Zustand, TanStack Query, Three.js

Cloud and DevOps: Git, GitHub, Docker, CI/CD with GitHub Actions and Dokploy, AWS, Azure, Oracle Cloud, Linux, Nginx

B.Tech. in Artificial Intelligence and Machine Learning; CGPA: 8.8/10

Delhi, India

Dec 2021 to Jun 2025