Available for new opportunities Ahmedabad, India

Hi, I'mVivek Jalondhara.

Full Stack Software Engineer

I design and build scalable, high-performance web applications with the MERN stack and modern TypeScript — and ship them faster with agentic, AI-assisted workflows.

View my work Resume

5.3+

Years experience

Products shipped

60%

Faster with AI

Find me

vivek.ts

const vivek = {
role: "Full Stack Engineer",
location: "Ahmedabad, India",
stack: ["React", "TypeScript", "Node", "Python"],
focus: ["AV Engineering", "SaaS", "Healthcare AI", "CRM"],
experience: "5.3+ years",
shipsWith: "Agentic AI · 60% faster",
open: true,
}

01 — About

Engineer with an ownership mindset.

Full Stack Software Engineer with 5.3+ years of experience designing and building scalable, high-performance web applications using the MERN stack, modern TypeScript, and Python AI/ML ecosystems. Proven expertise in CRM platforms, engineering software, SaaS, and healthcare AI — delivering complex features like automation engines, diagramming tools, and LLM-powered clinical documentation systems. An early adopter of Agentic Coding, I leverage tools like Claude, Codex, Cursor, and Qodo to automate engineering tasks and accelerate delivery by up to 60%.

5.3+ years building production web apps end-to-end with the MERN stack, TypeScript, and Python.
Owns Smackdab's Design & Engineering module — a cloud diagramming platform for the AV / integration industry.
Strong in system design, REST API architecture, and performance (caching, query tuning, scalable data models).
Ships complex features solo: automation engines, page/form builders, onboarding flows, and integrations.
Early adopter of agentic, AI-assisted development (Claude, Codex, Cursor) — up to 60% faster delivery.
Clean, maintainable code and a strong ownership mindset in Agile teams.

5.3+

Years experience

Products shipped

60%

Faster delivery with AI

MERN

+ TypeScript & Python

How I work

Understand & design

Clarify the problem and users, then design the data model, API contracts, and architecture before writing code.

Build & iterate

Ship in clean, testable increments — reusable components, typed APIs, and AI-assisted workflows to move fast without cutting corners.

Optimize & maintain

Profile and tune performance (caching, indexing, queries), add audit/observability, and keep the system reliable at scale.

02 — Skills

The stack I build with, end to end.

Across frontend, backend, data, and the AI tooling I use to ship faster.

Frontend

React.jsTypeScriptJavaScriptTanStack QueryReact Hook FormReduxHTML5AG GridSyncfusion

Backend

Node.jsExpress.jsTypeScriptPythonDjangoREST APIsMonorepo ArchitectureSystem Design

Databases

PostgreSQLMySQLMongoDBRedisTimescaleDBCitus

AI / ML & Agentic Dev

ClaudeAnthropic ModelsLLMsCodexCursorQodoPrompt EngineeringASR & DiarizationAudio PipelinesPoS Tagging

Integrations

Google CalendarOutlook CalendarZoomRecall.aiSentry

Tooling

DockerGitGitHubPostmanBitbucketJiraSonarQubeQwiet AI

03 — Selected Work

Five products I've built end to end.

From AV engineering software and a SaaS booking platform to a healthcare AI product and two CRM generations — each expanded below with the features I designed and shipped.

FlagshipEngineering / Design Software2024 – Present

AV Design & Engineering Suite

A professional AV system-design platform — the product I own end to end. Engineers design systems, create floor plans, build signal-flow diagrams, manage rack elevations, map I/O connections, and generate full project documentation from a single cloud workspace.

React FlowTypeScriptCanvas / DiagrammingSVG / PDF ExportData Modeling

What I built

Floor Plan Designer

A drag-and-drop React Flow canvas for placing equipment on scaled floor plans, with automatic equipment IDs and cross-sheet links.

Signal Flow Diagrams

Wiring & signal-flow schematics with wire / cable classification and connector typing across multi-sheet projects.

Rack Elevations

Interactive rack editors (1U–42U, front & rear faces) for mounting devices and laying out equipment with real-world units.

Equipment Catalog

A searchable catalog of AV products that drives placement, specs, and downstream documentation.

BOM & Cable Schedules

Auto-generated bills of materials and cable schedules derived directly from the diagram — no manual re-entry.

Engineering Reports & Export

Project documentation and engineering reports with high-fidelity SVG / PDF export, plus AI-assisted diagram generation.

View full case study

FlagshipSaaS / Business Application2024

Booking Management System

A full-stack SaaS booking platform: customers reserve services, resources, rooms, or appointments while administrators manage schedules, availability, payments, and bookings from a centralized dashboard.

ReactTypeScriptNode.jsCalendarPaymentsRBAC

What I built

Authentication & Roles

Secure user authentication with role-based permissions separating customer, staff, and admin capabilities.

Booking Creation & Management

End-to-end booking lifecycle — create, reschedule, and cancel reservations with conflict-free validation.

Availability Calendar & Scheduling

An availability calendar and resource-scheduling engine that maps services, rooms, and assets to open time slots.

Payment Integration

Payment processing wired into the booking flow for paid reservations and confirmations.

Notifications & Reminders

Automated booking notifications and reminders across channels to cut no-shows.

Admin Dashboard & Analytics

A centralized admin dashboard with reports and analytics on bookings, utilization, and revenue.

View full case study

FlagshipAI-Driven CRM Platform2023 – Present

SmackDab — AI-Driven CRM

An AI-enabled, multi-tenant CRM platform that helps businesses build stronger customer relationships, optimize sales workflows, and drive revenue through intelligent automation and data-driven decisions. I led end-to-end development of the core modules — a no-code automation engine, page & form builders, integrations, notifications, and fine-grained access control — over centralized customer data with AI/ML-powered analytics for pipeline and revenue insight.

ReactTypeScriptNode.jsPythonGenerative AINLP / NERPostgreSQLRedis

What I built

Automation Engine & Workflow Builder

A scalable automation engine and visual workflow builder supporting email actions, task creation, celebrations, opt-ins, scheduled jobs, and public form-based triggers — complex business logic without code.

Drag-and-Drop Page / Website Builder

A schema-driven page builder with configurable components, layout management, reusable templates, and dynamic rendering — letting end users build pages with zero coding.

Dynamic Form Builder

Configurable forms with flexible fields, layouts, validation, and reusable templates that feed directly into automation triggers and public flows.

Activity Tracking & Audit Logging

Platform-wide capture of user actions, data changes, and system events for analytics and compliance — backed by a three-layer caching strategy for low latency at scale.

Guided Onboarding & RBAC

Interactive, tooltip-based onboarding guides and role-specific workflows, plus fine-grained role-based access control across modules, entities, and fields.

Integrations, Notifications & Collaboration

Zoom + Google / Outlook calendar integrations with bot-based meeting attendance and ICS invites, multi-channel notifications (in-app, real-time email, digests), Gmail/Outlook-style email, and collaboration tools — notes, documents, tagging, and advanced search.

View full case study

CRM Platform (v1)2023

Smackdab — CRM v1.0

The first generation of the CRM, where I built platform-wide traceability and the collaboration foundation later carried into v2.0.

Node.jsExpressMongoDBReact

What I built

Platform-wide Audit Log

A system tracking user actions, data changes, and system events across the platform — ensuring traceability and compliance.

Documents & Notes Modules

Document and notes modules with tagging and visibility controls, enabling seamless collaboration across CRM entities and modules.

Healthcare AI / ML Platform2023 – 2024

ECHOSCRIPT

ECHOSCRIPT is an AI-native dental communication intelligence platform that turns real-time clinical conversations into secure, structured, context-aware records. Built on domain-trained ASR, speaker diarization, and LLM reasoning, it captures multi-speaker dental interactions with high accuracy, attributes them to the right roles, and generates role-specific documentation — all through a privacy-first, compliance-aligned pipeline.

Anthropic ModelsLLMsDjango APIsAudio PipelinesPoS TaggingReact.jsPython

What I built

Custom Healthcare Communication

A purpose-built communication-intelligence layer for dental practices that captures, interprets, and manages spoken clinical interactions.

Automated Clinical Documentation

LLM-powered extraction of symptoms, diagnoses, treatment steps, materials, and follow-ups from unstructured speech into structured records.

Healthcare Workflow Automation

Role-specific output generation for dentists, hygienists, assistants, and admins — streamlining team collaboration and operations.

Secure Data & Encryption

Automated PII detection and masking, encrypted data pipelines, and compliance-aligned workflows protecting sensitive patient data end to end.

Scalable AI / ML Pipelines

Domain-trained ASR, audio preprocessing & segmentation, and diarization pipelines tuned for noisy, multi-speaker dental environments.

View full case study

04 — Experience

Where I've worked & studied.

Work

Full Stack Software Engineer

Jan 2023 – Present

SaaS & AI Product Engineering · Ahmedabad

Sole engineer on the AV Design & Engineering Suite — a cloud floor-plan, signal-flow, and rack-elevation diagramming platform with BOM and cable-schedule generation for the AV / integration industry.
Built a SaaS Booking Management System — reservations, availability calendar, resource scheduling, payments, notifications, and an admin dashboard.
Led end-to-end development of core Smackdab CRM modules: Automation, Activity Tracking, Guided Onboarding, Integrations, and Notifications.
Built a scalable automation engine, drag-and-drop page builder, and dynamic form builder used by end customers.
Implemented a three-layer backend caching system to cut latency and improve scalability.
Accelerated the delivery lifecycle by up to 60% by applying Agentic Coding with Claude, Codex, and Cursor.

Education

B.E. in Computer Engineering

2019 – 2023

Government Engineering College, Bhavnagar

7.99 CGPA

Data structures, DBMS, operating systems, and web technologies.

Higher Secondary (Science Stream), GSHEB

2017 – 2019

Belur Vidhyalaya, Bhavnagar

75.53%

Physics, Chemistry & Mathematics.

05 — Writing

How I think about tech & how I build.

Twenty short essays on the tools I prefer, the trade-offs behind them, and the engineering decisions that hold up in production.

TypeScript 5 min

Why I Reach for TypeScript on Every Project

Types aren't bureaucracy — they're the cheapest documentation and the fastest feedback loop you can buy.

May 2026Read

React 6 min

React Over Everything: How I Choose a Frontend Stack

The framework matters less than the ecosystem around it. Here's the checklist I run before committing.

May 2026Read

Backend 7 min

Node.js vs. Django: Picking the Right Backend per Problem

I run both in production. The choice comes down to the shape of the workload, not religion.

Apr 2026Read

AI / Agentic 6 min

The Case for Agentic Coding in Daily Development

Agentic tools didn't replace my judgment — they removed the boring 60% so I can spend more time on the hard 40%.

Apr 2026Read

AI / Agentic 5 min

How I Use Claude, Codex, and Cursor Without Losing Control

Three tools, three jobs. The trick is knowing which one to reach for and where to draw the line.

Mar 2026Read

Architecture 6 min

Designing APIs Contract-First

Agree on the contract before anyone writes a line of implementation. Frontend and backend then move in parallel.

Mar 2026Read

Architecture 7 min

A Three-Layer Caching Strategy That Actually Scales

In-memory, distributed, and HTTP caching each solve a different problem. Layer them deliberately.

Feb 2026Read

Databases 5 min

PostgreSQL by Default, and When I Don't Use It

Postgres is the boring, correct choice for 90% of apps. The other 10% is worth understanding.

Feb 2026Read

Databases 6 min

TimescaleDB and Citus: Scaling Time-Series and Multi-Tenant Data

Two Postgres extensions that let you scale without abandoning the database you already trust.

Jan 2026Read

Frontend 7 min

Schema-Driven UIs: Building Page and Form Builders

When users need to build their own layouts, describe the UI as data and render it dynamically.

Jan 2026Read

Frontend 6 min

Drag-and-Drop Done Right: Lessons from a Diagramming Canvas

Smooth drag-and-drop is mostly about state, coordinates, and not fighting the browser.

Dec 2025Read

Frontend 6 min

Building Real-Time Diagrams with React Flow

React Flow handles the graph plumbing so you can focus on domain logic — floor plans, racks, and signal flow.

Dec 2025Read

AI / ML 7 min

From Audio to Insight: ASR and Diarization Pipelines

Generic speech-to-text falls apart in noisy, multi-speaker rooms. Domain tuning is the whole game.

Nov 2025Read

AI / ML 6 min

LLMs in Production: Structuring Unstructured Speech

An LLM that returns prose is a demo. An LLM that returns validated structure is a product.

Nov 2025Read

Security 6 min

Privacy-First AI: PII Masking and Encrypted Pipelines

In healthcare, the model is the easy part. Protecting patient data end to end is the real engineering.

Oct 2025Read

Security 6 min

RBAC the Right Way: Module, Entity, and Field-Level Access

Real access control isn't a single role check — it's layered, and it belongs in one place.

Oct 2025Read

React 5 min

State Management in 2025: TanStack Query vs. Redux

Most 'state' is really server cache. Separate the two and the hard problem mostly disappears.

Sep 2025Read

React 5 min

Form State Without the Pain: React Hook Form + Yup

Uncontrolled inputs, schema validation, and typed errors — forms stop being the worst part of the app.

Sep 2025Read

Architecture 6 min

Monorepos: When They Help and When They Hurt

Shared code and atomic changes are great — until your build graph and CI become the bottleneck.

Aug 2025Read

Productivity 6 min

Shipping Faster With AI: My 60% Productivity Playbook

The gains are real but they're earned through process, not magic. Here's the loop I run.

Aug 2025Read

06 — Contact

Let's build something together.

Have a role, a project, or just want to talk shop? Reach me on whichever channel suits you — I usually reply within a day.

WhatsApp+91 90812 90856 Emailvivekjalondhara011@gmail.com Call+91 90812 90856