Malhar Trivedi — Sr. Full Stack Engineer

02 / Selected work

Things I've shipped.

04 projects

Next.jsTypeScriptLangChainOpenAI

Unrealty↗

Lead Front-End Developer

AI-powered interior design platform for property buyers. AI-driven home design platform that automates interior design suggestions and walkthrough generation. Property buyers chat about room preferences, get personalised designs, and the system resolves intent straight into the right listing.

Built a responsive Next.js + TypeScript frontend for an AI-driven home design platform serving property buyers.
Wired a chatbot into the UI that reads room preferences, returns personalised design suggestions, and when a query maps to a property or area, auto-redirects and applies the relevant search filters — no manual filtering.
Built a browser-based admin terminal using xterm.js, streaming live backend server logs in real time over WebSockets so the client has direct visibility without SSH.
Developed an AI image-to-video pipeline that turns AI-produced design images into room walkthrough animations.
Built a 5-step Offer Builder with conditional template variants, a real-time right-panel preview, and OpenAI-powered image content extraction to auto-prefill form fields.
Implemented RBAC across buyer, designer, and admin roles; reduced page load times by 30% via SSR and lazy loading.

StackNext.js · TypeScript · Django · PostgreSQL · LangChain · OpenAI API · REST API

RBAC

buyer · designer · admin

−30%

page load time

newra

Node.jsLangChainPinecone

NewRA↗

Back-End Developer

AI recommendation platform with vector search. Robust, scalable AI-powered recommendation platform delivering tailored insights and suggestions. LangChain for NLP, Pinecone for vector-based search — real-time, relevant recommendations.

Developed RESTful APIs in Node.js to handle user interactions, data processing, and AI model integration.
Designed and implemented MongoDB schemas for efficient storage and retrieval of user data and interaction logs.
Integrated LangChain for advanced natural-language understanding and Pinecone for vector-based search.
Built the back-end architecture and integrated advanced AI features for a seamless user experience.

StackNode.js · MongoDB · Laravel · LangChain · Pinecone

RAG

vector retrieval

NLP

LangChain

Node.jsExpressMongoDB

RiceDay↗

Back-End Developer

Pin-code aware grocery e-commerce platform. Innovative e-commerce platform for grocery commerce — users purchase products based on vendor-serviceable pin codes. Real-time inventory, dynamic delivery scheduling, web + mobile.

Built Node.js + Express.js RESTful APIs for real-time product listings, inventory updates, and order management across web and mobile.
Implemented pin-code-based vendor serviceability logic enabling location-aware product and vendor filtering across 100+ delivery zones.
Developed an inventory and order management system letting vendors track stock levels, pricing, and delivery scheduling in real time.
Designed MongoDB data models supporting multi-vendor architecture with dynamic pricing, product categorisation, and user order history.
Collaborated with Angular and React Native frontend teams to define API contracts, ensuring consistent data handling across web and mobile.

StackNode.js · Express.js · MongoDB · Angular · React Native

100+

delivery zones

RT

inventory & orders

Next.jsReduxSEO

Falcon Car Rental↗

Lead Front-End Developer

SEO-optimised luxury & exotic car rentals. Platform for renting luxury and exotic cars — seamless, user-friendly experience built fully SEO-optimised for discoverability. UI components, back-end integrations, and cross-device performance.

Built SEO-optimised car listing and booking UIs with Next.js and Redux, achieving top keyword rankings on Google for targeted search terms.
Improved Core Web Vitals (LCP, CLS, FID) by 20–30% through SSR, lazy loading, and image optimisation.
Developed search filters, booking flows, and car detail pages tightly integrated with the Laravel API and MySQL backend.
Led technical SEO implementation including structured data, meta tags, canonical URLs, and page-speed optimisation, driving measurable organic traffic growth.
Collaborated with backend and design teams to translate business requirements into responsive, cross-device UI components with consistent UX across all rental workflows.

StackNext.js · Redux · Laravel · MySQL

20–30%

Core Web Vitals

SEO

top keyword ranks

03 / About

A bit about me.

Personal

MTMalhar Trivedi · Sr. Full Stack Engineer

I'm a senior full-stack engineer at IndiaNIC Infotech in Ahmedabad. Five years deep in the MERN stack, leading builds, mentoring a small team, and delivering 20+ client projects across AI, e-commerce, and real estate.

Most recently I've been shipping AI features — LangChain agents, Pinecone vector search, and image/video generation pipelines wired into Next.js and Node services. I was also selected for an onsite client engagement in Dubai, working directly with stakeholders to align on requirements and delivery milestones.

I care about modular frontend architecture, scalable REST and GraphQL APIs with JWT & RBAC, and code other engineers want to read. AWS for deploys, GitHub Actions and GitLab CI for pipelines, MongoDB or Postgres depending on the day.

Currently: Sr. Full Stack Engineer & Team Lead @ IndiaNIC
Stack: React · Next.js · Node · TypeScript
Cloud: AWS — EC2, S3, RDS, API Gateway
Database: MongoDB · PostgreSQL · MySQL
AI Tools: LangChain · Pinecone · OpenAI · Claude Code · Cursor
Education: B.Tech, Charotar University (2021)

04 / What I do

Services.

Three things, well

[ 01 ]

React Developer

Modular React and Next.js front-ends with clear separation of UI, state, and domain logic. Redux Toolkit for state, SSR for performance, TypeScript end-to-end.

ReactNext.jsRedux ToolkitTypeScript

[ 02 ]

Full-Stack MERN Developer

End-to-end product delivery on MongoDB, Express, React, and Node. Versioned REST and GraphQL APIs, RBAC, AWS deploys, and CI/CD pipelines that don't break on Fridays.

MongoDBExpressNode.jsAWS · CI/CD

[ 03 ]

React Native Developer

Cross-platform mobile apps that share business logic with the web. Native modules when needed, shared API contracts with the backend, smooth releases on both stores.

React NativeTypeScriptREST APIsiOS · Android

05 / Experience

Where I've worked.

5+ years · Updated Apr 2026

[ tl;dr ]

Senior full-stack & MERN engineer.

I've been shipping production code since 2021. Five years in the MERN stack, with the last two going deep on AI integrations — LangChain, vector search, and conversational UIs that survive past the demo.

↓ Download CV (PDF)

2025 — Present

Sr. Full Stack Engineer & Team Lead

IndiaNIC Infotech

Lead MERN builds end-to-end, integrate AI features with LangChain and Pinecone, and mentor a small team. Selected for an onsite client engagement in Dubai to align directly with stakeholders on requirements and delivery milestones.

Next.js · Node · LangChain · AWS

2021 — 2025

Software Engineer → Sr. Full Stack Engineer

IndiaNIC Infotech

Full-stack delivery across 20+ client projects in AI, e-commerce, and real estate. Designed a reusable React component library used across 5+ projects, architected secure REST and GraphQL APIs with JWT and RBAC, and built CI/CD pipelines on GitHub Actions and GitLab CI deploying to AWS EC2, S3, and RDS.

React · Node · Express · MongoDB · Postgres

[ education ]

Where I studied.

Computer engineering background at Charotar University, with schooling in Rajkot before that.

2017 — 2021

B.Tech, Computer Engineering

Charotar University of Science and Technology

Changa, Anand, Gujarat

2015 — 2017

Class XII (GSEB)

V.J. Modi School

Rajkot, Gujarat

06 / Get in touch

Contact.

Replies within ~24h

Got a build in mind?
Let's talk.

I'm available for senior MERN and AI engineering roles — full-time or contract. Open to interesting builds, especially ones with LangChain or vector search inside.