Meet Tilavat

Software engineer building dependable web products and systems.

I enjoy working end-to-end—from feature development to shipping and operations—with a focus on clarity, reliability, and automation.

Based in Gujarat, IndiaOpen to full-time roles

Email Me GitHub

Contact

Open to Work

Experience

Hands-on product delivery and cross-functional execution.

May – Jul 2023

Web Development Trainee

Yellow Apple Solutions · Surat, India

Converted UI mockups into responsive HTML, CSS, and JavaScript pages.
Refined spacing, interaction states, and feedback-driven interface changes.
Fixed layout and interaction regressions before handoff.

Education

Core academics with strong engineering outcomes.

2021 – 2024

Pandit Deendayal Energy University (PDEU)

B.Tech, Computer Engineering — CGPA 8.92

Gandhinagar, Gujarat, India

2018 – 2021

Marwadi University

Diploma, Computer Engineering — CGPA 9.00

Rajkot, Gujarat, India

Selected Projects

Production work and applied ML builds across web, infra, and experimentation.

Vriksha Ganana / Tree Census Platform

Kotlin, Jetpack Compose, Django REST, PostGIS, Next.js, Google Cloud, Cloud SQL, GCS

Built an end-to-end municipal tree-census platform for SNMC across an Android field app, Django/PostGIS APIs, and a Next.js operations dashboard.
Implemented map-based field workflows, photo evidence, offline sync, Google Sign-In/JWT auth, and supervisor review flows.
Operated the live SNMC production deployment on GCP with Compute Engine, Cloud SQL/PostgreSQL 18 + PostGIS, GCS photo storage, Nginx, Redis/Celery, and uptime checks.

MeetTilavat.com (Blog Platform)

Next.js, Tailwind CSS, Supabase, Tiptap, Docker, Jenkins

Source

Split public read-only site and private admin/editor app backed by Supabase.
Built rich-text publishing with images, tables, and Supabase Storage uploads.
Containerized Docker builds with Jenkins CI/CD for repeatable deploys.

Personal Blog (PHP/MySQL)

HTML, CSS, PHP, SQL, JavaScript, AWS

PHP/MySQL blog with admin publishing, CKEditor formatting, local image uploads, and AWS hosting.

Image Caption Generator

ResNet50, LSTM, Python, Streamlit, AWS/Azure

Trained on Flickr8k using ResNet50 feature extraction + LSTM decoding.
Deployed with Streamlit; experimented across AWS and Azure.

Diabetic Retinopathy Classification

CNN ensemble

Preprocessed fundus images (CLAHE, histogram EQ) and tested segmentation approaches.
Ensembled ResNet, VGG, Inception, and Xception for DR staging.

Predicting Engineering Student Performance

Modeled academic outcomes with RF, GBM, Logistic Regression, and CNN.
Used SHAP/LIME for explainability on a 12k+ student dataset.

Skills

Current stack and tools used in day-to-day delivery.

Languages & Frameworks

PythonJavaScriptSQLJavaPHPC/C++HTML/CSSDjango REST FrameworkNext.jsReactNode.jsLaravelAngular

DevOps & Cloud

Google CloudCloud SQLGCSDockerJenkinsNginxLinuxAWS

Tools

GitGitHubVS CodeJetBrains IDEs

Backend & Data

PostgreSQL/PostGISREST APIsCeleryRedis

Languages (Spoken)

English (IELTS 8.0)GujaratiHindi

Other

Custom PC buildingHardware troubleshooting