Offline-first construction operations
Aurigo Build Mobile
Enterprise mobile
Built a high-volume field inspection application for low-connectivity environments and led delivery of a JSON-driven configuration system under an aggressive timeline.
Flutter + AI Engineer
Abhijeet Pratap Singh, Senior Flutter and AI Engineer.
Senior Software Engineer in Bengaluru, India, designing Flutter and Dart mobile architecture, offline-first construction-tech apps, performance improvements, and practical AI developer tooling for product teams.
- Flutter architecture for long-lived mobile products
- Offline-first workflows for field and enterprise teams
- Practical AI tooling designed around engineering bottlenecks
Engineering profile
- 7 Yearsshipping mobile products
- 5+ Appspublished and maintained
- 98%crash-free sessions achieved
Featured Work
Selected projects that show how I work under product, delivery, and performance constraints.
The strongest case studies here sit at the overlap of mobile architecture, configurability, and focused AI implementation.
Internal AI developer tooling
Dartly
AI tooling
Designed a GPT-powered internal tool that converts business-specific JavaScript patterns into Dart to accelerate Flutter development.
AI-powered site analysis
SiteVision
Applied AI systems
Developed an AI backend service to analyze construction imagery for progress reporting, safety compliance, and privacy protection.
Scalable messaging automation
BotMyWork Chatbot Builder
Platform engineering
Contributed to a high-throughput chatbot platform for Facebook Messenger with automation, live chat, and lead generation workflows.
About
Engineering-first execution across mobile systems and applied AI.
My work sits at the intersection of Flutter product engineering, maintainable architecture, and practical AI implementation. I focus on building systems that operate well under real constraints, from low-connectivity field environments to internal developer workflows.
How I operate
- Architecture decisions shaped by real delivery constraints
- Performance work grounded in product reliability, not vanity metrics
- AI workflows scoped to narrow, measurable team bottlenecks
Impact
Measured outcomes, not generic capability claims.
40%
reduction in app load time through widget and state optimizations70%
faster background sync after SQL and dependency cleanup50%
less manual JavaScript-to-Dart conversion effort with Dartly3,000+
messages per second supported on chatbot infrastructureExperience
A path shaped by delivery, architecture, and team-level impact.
7 years across product teams, enterprise mobile delivery, and internal AI tooling.
Dec 2024 - Present
Senior Software Engineer II
Aurigo Software Private Limited
Flutter engineering across mobile architecture, performance, publishing, internal AI tooling, and construction-tech product delivery.
Mar 2022 - Dec 2024
Senior Software Engineer I
Aurigo Software Private Limited
Built and stabilized cross-platform apps with BLoC, Provider, REST integrations, testing, and UX collaboration.
Mar 2019 - Mar 2022
Senior Software Developer
CedCoss Technology Private Limited
Worked on web applications and chatbot product workflows, reusable UI systems, reviews, and release support.
Skills
Core tools and practices.
Mobile
- Flutter
- Dart
- BLoC
- Provider
- Riverpod
- FCM
- SQLite
- Hive
AI
- Prompt Engineering
- LLM Tooling
- Generative AI Workflows
- Applied AI Product Design
Cloud & Backend
- AWS
- Firebase
- Supabase
- MongoDB
- Firestore
- REST APIs
Web
- Angular
- TypeScript
- JavaScript
- HTML
- CSS
- SASS
- LESS
Engineering Practice
- OOP
- SOLID
- Testing
- Performance Optimization
- CI/CD
- Agile Delivery
Writing
Published thoughts and technical notes around engineering systems and applied AI.
The writing section now combines published essays with developing notes on architecture, offline-first systems, and AI workflows.
March 21, 2026
Most Developers Use AI Wrong. Here's the Pattern That Changes Everything.
A practical argument for moving from single-prompt AI usage to orchestrated multi-agent execution when the work is repetitive, parallelizable, and operationally expensive.
Read articleIn progress
Offline-first Flutter as a product decision
How sync design, local persistence, and failure handling shape real field workflows.
Research note
Where AI tooling actually saves engineering time
A practical view of narrow-scope LLM workflows that improve delivery without adding noise.
Certifications
Focused learning that supports the core engineering profile.
- Angular (Intermediate) - HackerRank
- Angular: Building Large Applications - LinkedIn
- Angular: Progressive Web Apps - LinkedIn
- Learning Amazon Web Services Lambda - LinkedIn
- ChatGPT Masterclass: A Complete ChatGPT Guide - Udemy
- Flutter BLoC, TDD & Clean Architecture - Udemy
Contact
Open to conversations around Flutter architecture, AI tooling, and product delivery.
If you are hiring, building, or evaluating a mobile product with real engineering constraints, I am available for focused discussions.