Poojan
Kaneriya
Mobile + Full-Stack Software Engineer
I build high-performance mobile apps and cloud-backed APIs with a focus on measurable product outcomes.
+18%
Booking conversion
-35%
Cold start
99%
Crash-free sessions
Mobile + Product
Building app flows that are fast, reliable, and conversion-driven.
Cloud + Reliability
API and release infrastructure designed for consistency at scale.
About
Engineer focused on outcomes, not just features
Concise narratives you can reuse for applications, intros, and interviews.
What I am looking for
Seeking full-time Software Engineer opportunities (Mobile / Full-Stack) in the USA where I can ship user-facing features and scalable backend systems.
Current focus
Building mobile-first products with strong backend foundations while expanding into practical transformer, diffusion, and model-evaluation workflows.
Skills
Capability map
Role-oriented stack grouped to make recruiter scanning faster.
Mobile
Frontend
Backend
Cloud/DevOps
AI/ML
Experience
Timeline of impact
Product execution, reliability work, and measurable outcomes across each role.
Software Engineer · University at Buffalo
Aug 2025 - Dec 2025
New York, USA
- • Drove React Native + Node.js booking flows, improving booking conversion by 18% and reducing time-to-book by 30%.
- • Improved startup performance via lazy loading, memoization, and image caching, making cold start 35% faster with 99% crash-free sessions.
- • Built push and media pipeline (FCM + AWS S3 pre-signed uploads + CloudFront), reducing gallery load p95 by 40% and no-show rates by 15%.
- • Implemented offline-first scheduling and secure JWT refresh flows with SQLite queued sync.
- • Coordinated GitHub Actions + Fastlane release pipeline with smoke tests to reduce regressions.
Software Engineer · IQ Infinite Technologies
Aug 2023 - Jul 2024
India
- • Architected Kotlin MVVM Android systems and analytics-led UX, increasing user engagement by 35%.
- • Engineered secure POS platform (Node.js + PostgreSQL + WebSockets) handling 1K+ daily transactions with 20% reliability gains under peak load.
- • Unified iOS/Android data sync and reduced platform-specific defects by 20%.
- • Led Docker + AWS + Kubernetes deployment automation, reducing deployment downtime by 25%.
- • Launched FCM notification features, improving retention by 8%.
Software Engineer Intern · Archadia Virtual Pvt Ltd
Feb 2023 - Jul 2023
India
- • Built modular Android features with Kotlin, Jetpack Compose, and Android SDK, reducing render latency by 18%.
- • Raised unit and integration coverage to 90%, shortening release cycles.
- • Integrated Firebase Cloud Functions + Firestore with role-based access and on-device caching; supported thousands of MAUs with sub-200ms p95 reads.
- • Resolved memory and GC bottlenecks with profiler-driven tuning, reducing dropped frames by 25%.
Projects
Case studies across mobile, full-stack, and ML
Visual cards + filterable categories. Metrics stay factual and source-backed.
S2S Connect App
10K+ DAUs (resume claim)
Built a cross-platform social networking app with secure auth and scalable backend messaging.
Trello Clone - Project Management App
Real-time task collaboration app
Implemented a Trello-inspired collaboration app with live task updates and offline-aware Android architecture.
Vision Transformer for Image Classification
94.53% test accuracy
Fine-tuned a ViT-tiny model on Cats vs Dogs and documented training/evaluation workflow.
DDIM Inpainting on MNIST
Diffusion-based inpainting pipeline
Implemented diffusion-based center-hole inpainting with per-step data consistency constraints.
Summarization using LLMs
ROUGE-1 0.4778 | BLEU 19.87 | BERTScore 0.8820
Fine-tuned BART for abstractive legislative-text summarization with strong evaluation metrics.
Transformer from Scratch with PyTorch
91.25% test accuracy
Implemented an encoder-only transformer architecture from scratch for text classification.
Road Scene Segmentation for Autonomous Driving
>80% mIoU (resume claim)
Built semantic segmentation pipeline for drivable areas, vehicles, and pedestrians.
Featured
Project spotlight
Expanded visual treatment for one mobile and one ML project.
Mobile
S2S Connect App
10K+ DAUs (resume claim)
Built a cross-platform social networking app with secure auth and scalable backend messaging.
ML
Vision Transformer for Image Classification
94.53% test accuracy
Fine-tuned a ViT-tiny model on Cats vs Dogs and documented training/evaluation workflow.
GitHub Proof
Signals from live repository data
Fetched from GitHub API with ISR revalidation.
Public Repos
19
Total Stars
21
Recent Push Events (last 100 events)
50
Top Languages by bytes (sampled repos)
Education
Academic background and certifications
Verified from resume extraction.
Master of Science in Computer Science
University at Buffalo · Buffalo, NY
Aug 2024 - Dec 2025
- • GPA: 3.93/4.0
- • Coursework: Algorithm Analysis and Design, Machine Learning, Deep Learning, Data Intensive Computing, Predictive Analytics
Bachelor of Engineering in Computer Engineering
Gujarat Technological University · India
Aug 2019 - May 2023
- • GPA: 9.0/10.0
Certifications
- • AWS Certified Developer - Associate (TODO: confirm verification URL)
Contact
Let's talk
Reach out for Software Engineer roles, technical interviews, or collaboration opportunities.
Visual Resources
Imagery uses open-license assets from Unsplash. Icons use Lucide (ISC).