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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

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