Available · Open to Relocation & Remote
Kartik Patel
Senior Backend Engineer — AI & Scalable Systems
Architecting backend systems that support 80+ global applications. Expert in Laravel real-time infrastructures, enterprise communication platforms, and AI/LLM integrations. Published IEEE researcher.
3+
Years Exp.
80+
Apps Served
40%
Perf. Gain
2
IEEE Papers
// TelecomEngine · 80+ apps · Laravel 12
class IncomingCallHandler {
public function handle(Request $req)
{
$score = SpamDetector::score($req->caller);
if ($score > 0.7) {
return $this->blockAndLog($req);
}
Reverb::channel("calls.".$req->appId)
->broadcast(["latency" => "sub-second"]);
return TwilioResponse::accept();
}
}
About
Who I Am
I'm a Senior Backend Engineer and Solutions Architect based in Vadodara, India, with 3+ years engineering backend infrastructure at scale. At Techmero I built the centralized backend behind a portfolio of 80+ global iOS applications — most notably the Apple App Store Server-to-Server notification pipeline that tracks subscription purchases, renewals, and cancellations across every app so the business has real-time visibility into revenue — alongside the Twilio telecom layer and real-time WebSocket systems. Before that, I replaced SQL lookup bottlenecks with Apache Solr at Siimteq, delivering 4× faster search for enterprise ERP clients, and integrated local LLMs for image-to-product search capabilities. I'm also a published IEEE researcher in machine learning, with a Random Forest model achieving 93% accuracy in predicting screen-time patterns.
RoleSenior Backend Engineer ·
Solutions Architect
LocationVadodara, Gujarat,
India
Phone+91 70164 18778
GitHubpatel-kartik-1
LinkedInkartik-patel-97662a19b
DegreeB.Tech + M.Tech (CSE)
Open toRelocation & Remote —
Worldwide
Key Achievements
Reduced API response latency by
40% via N+1 elimination and caching strategies across 80+ app portfolio
Boosted ERP search speed 4× by
replacing SQL with Apache Solr at millisecond latency
Secured 18+ Meta production-level
permissions through rigorous App Review compliance
IEEE-published ML model with 93%
accuracy predicting youth screen-time patterns (2025)
2nd Place — Code Decode Engineering Competition,
Parul University (2021)
Skills
Technical Expertise
Core Architecture & System Design
Languages & Frameworks
Real-Time & Communication
Databases & Search
AI & Automation
DevOps, Security & Commerce
Experience
Work History
Sep 2025 — Present
Techmero
Vadodara, India
Vadodara, India
Senior Backend Developer & Architect
- Telecom Architecture: Architected a centralized backend supporting 80+ global iOS apps integrating Twilio VoIP, SMS/MMS, server-side voicemail, and automated phone-line cycling pipeline.
- Performance Optimization: Audited legacy SQL schemas, eliminated N+1 loops, and deployed caching strategies — reducing API response latency by 40%.
- Real-Time Communication: Replaced polling with event-driven Laravel Reverb (WebSocket) layer enabling sub-second concurrent messaging across web and mobile clients.
- Financial Webhook Engine: Built high-integrity Apple Server-to-Server Webhook pipeline managing real-time subscription renewals and lifecycle events across 80+ consumer iOS apps.
- AI Refund Automation: Engineered AI-based refund validation that analyzes app usage vs. transaction state to auto-approve, dispute, or escalate Apple refund cases.
- Anti-Fraud System: Programmed asynchronous real-time API-level spam detection with telephone reputation scoring to permanently block fraudulent calls.
- Push Notification Hub: Built centralized FCM/APNs infrastructure with dynamic multi-app bundle ID routing and isolated credential management.
- SaaS Automation Platform: Delivered multi-tenant omni-channel lead-capture platform connecting Instagram Messaging, Facebook Messenger, TikTok Graph API, and Telegram Bot API.
- Meta Compliance: Cleared 18+ Meta App Reviews securing instagram_business_manage_messages, whatsapp_business_messaging, pages_messaging, and catalog_management.
- Voice AI Microservice: Maintained Python (FastAPI) microservice for real-time TTS voice synthesis and background noise suppression.
Jul 2023 — Aug 2025
Siimteq
Technology
Vadodara, India
Vadodara, India
Full-Stack PHP Developer
- Search Architecture: Replaced relational DB lookups with Apache Solr, achieving 4× faster query resolution at millisecond latency for enterprise ERP datasets.
- ERP Engineering: Owned database design and code-level iteration for live multi-tenant ERP environments with Google/Microsoft OAuth and multi-gateway payment channels.
- AI-Powered Search: Integrated local LLMs to build vector-based and image-to-product search systems enabling catalog discovery from image uploads.
- System Performance: Resolved N+1 issues and implemented caching strategies across high-traffic ERP modules, significantly reducing application load time.
- Shopify Integration: Engineered 'Happy Reward' POS commerce plugins with background data sync for promotional discount tracking.
Jan 2023 — Jun 2023
Simform
Solutions
Ahmedabad, India
Ahmedabad, India
Trainee PHP Developer
- Backend Foundations: Built enterprise web applications using Core PHP and Symfony MVC with emphasis on scalable, maintainable code.
- CI/CD & Version Control: Mastered Git team workflows including branch isolation, interactive rebase, and conflict resolution.
- Project Development: Designed and built 'Projecto' — a full-cycle Project Management Suite with background PDF generation, biometric login, and real-time analytics.
Projects
Selected Work
telecom-api.laravel
Multi-Tenant Telecom Engine
Centralized backend supporting 80+ global iOS apps. Handles Twilio VoIP/SMS,
real-time WebSockets, Apple webhook processing, and AI-powered fraud detection.
Laravel 12TwilioReverbAPNs/FCMRedisMySQL
−40% API Latency
ai-search · ERP System
Image-to-Product search · 4× faster than SQL
AI-Powered Search System
Replaced SQL lookup bottlenecks in enterprise ERP with Apache Solr + local LLM for
vector-based and image-to-product search capabilities.
Apache SolrLLM (Local)Vector SearchLaravelPHP
4× Search Speed
OmniChat · Automation Hub
Instagram Business
3 leads
Facebook Messenger
7 messages
TikTok Graph API
12 comments
Telegram Bot
2 inquiries
SaaS Omni-Channel Platform
Multi-tenant automation and lead-capture platform connecting Instagram, Facebook,
TikTok, and Telegram through a single unified dashboard.
Meta Graph APITikTok APITelegram BotLaravelWebSockets
4 Platforms Unified
apple-webhook-engine
Apple Webhook Engine
High-integrity S2S webhook pipeline processing real-time Apple subscription
lifecycle events across 80+ iOS consumer apps.
Apple S2SLaravelState MachineMySQL
Revenue Protected
Smart Attendance · Parul Univ.
Face Recognition Active
98.2%
Push Notification Sent
admin
Smart Attendance System
Facial recognition attendance application for Parul University with admin portal
and real-time mobile push notifications for live tracking.
Face RecognitionPHPFCMMySQL
University Deployed
Services
What I Offer
Backend Development
Scalable, production-grade backend systems in Laravel and Symfony — clean
architecture, optimized queries, and maintainable codebases built to last.
AI & LLM Integration
Integrating LLMs, RAG pipelines, vector and image-based search, and AI-driven
automation workflows into new or existing platforms.
Scalable System Design
Architecture consulting for high-concurrency systems — designed for performance,
reliability, and horizontal scaling from the ground up.
Search & Data Systems
High-performance search with Apache Solr, vector search, and AI-powered query
parsing for large-scale, latency-sensitive datasets.
API & Integration
REST API design, Twilio/APNs communication systems, third-party integrations, and
secure, high-integrity webhook infrastructure.
Technical Research & Writing
Academic and technical writing with IEEE publication experience — machine learning
research and clear engineering documentation.
Impact
By the Numbers
−40%
API Latency Reduced
N+1 elimination + caching strategies across 80+ app portfolio
4×
Search Speed Gained
Apache Solr replacing SQL in enterprise ERP at millisecond latency
80+
Global Apps Served
iOS apps whose Apple subscription notifications run through one backend I built
18+
Meta Permissions Cleared
Production-level Graph API access across live global apps
93%
ML Accuracy Achieved
Random Forest model for screen-time prediction — IEEE 2025
2
IEEE Papers Published
Machine learning research at ICICDS 2025 and ICACRS 2024
Research
IEEE Publications
2025
AI-Driven Mobile Usage Tracking and Management System for Youth
ICICDS 2025 —
International Conference on Intelligent Computing & Data Sciences
Proposed a Random Forest ML framework achieving 93% accuracy in predicting youth
screen-time patterns. Co-authored with Khyati Zalawadia & Mukesh Patidar.
View on IEEE Xplore
2024
Youth Mobile Usage Monitoring: A Comprehensive Overview of Trends and Tools
ICACRS 2024 — 3rd
International Conference on Automation, Computing and Renewable Systems
Investigated mobile consumption trends using ML baselines and observational
analytics; highlighted AI's role in digital health tracking. Co-authored with Khyati Zalawadia &
Vipulkumar Dabhi.
View on IEEE Xplore
Education
Academic Background
Master of Technology (M.Tech) — Computer Science & Engineering
Parul University, Vadodara, Gujarat
2023 – 2025
Bachelor of Technology (B.Tech) — Computer Science & Engineering
Parul University, Vadodara, Gujarat
2019 – 2023
Higher Secondary (12th Grade) — Science (Mathematics)
Zen School, Padra, Gujarat
2018 – 2019
Secondary School (10th Grade) — Science
Sharda School, Padra, Gujarat
2016 – 2017
FAQ
Common Questions
Who is Kartik Patel?
Kartik Patel is a Senior Backend Engineer and Solutions Architect from
Vadodara, Gujarat, India, with 3+ years of experience. He built the centralized backend — including the
Apple App Store Server-to-Server subscription-notification pipeline — serving 80+ global
iOS apps, and is an IEEE-published machine learning researcher.
What does Kartik Patel specialize in?
Kartik specializes in scalable backend architecture with PHP, Laravel,
and Symfony; real-time systems using WebSockets (Laravel Reverb) and Twilio VoIP/SMS;
AI integrations including LLMs, RAG pipelines, and vector/image search with Apache Solr;
and high-integrity webhook infrastructure such as Apple App Store Server-to-Server notifications.
Is Kartik Patel open to relocation or remote work?
Yes. Kartik Patel is open to full-time, contract, fully remote, and international
relocation opportunities worldwide.
What measurable results has Kartik Patel delivered?
Kartik reduced API response latency by roughly 40% across an 80+ app
portfolio, made enterprise ERP search 4× faster by replacing SQL with Apache Solr,
cleared 18+ Meta production-level App Review permissions, and published 2 IEEE
research papers including a machine learning model with 93% accuracy.
How can I contact or hire Kartik Patel?
Email kartikpatelswami2@gmail.com, call
or WhatsApp +91 70164 18778, or connect via LinkedIn
and GitHub. A contact form
is also available below.
Contact
Get in Touch
Phone / WhatsApp
LinkedIn
GitHub
Location & Availability
Vadodara, Gujarat, India · Open to Relocation & Remote