Flutter Engineer
Building production-ready mobile experiences that scale across platforms — from dairy farms in rural India to ML-powered document intelligence.
Computer Science graduate from MS Ramaiah Institute of Technology with a passion for crafting polished, cross-platform mobile applications. I specialize in Flutter, clean architecture, and shipping features that users actually love.
At GormalOne LLP, I lead development of the Nitara Farmer and Nitara Friend apps — multi-language, AI-powered platforms serving dairy farmers and service providers across India. I've built analytics pipelines, collaborated with global teams, and maintained full ownership from ideation to deployment.
I believe great software sits at the intersection of thoughtful design, rigorous engineering, and relentless iteration.
MS Ramaiah Institute of Technology · Bengaluru
Class of 2023
0+
Years Experience
0+
Projects Shipped
0K+
App Downloads
0+
Technologies
Each project engineered with the same rigor as a product launch — from architecture to deployment.
2023 — PresentFeaturedAI-powered dairy farm management
All-in-one digital platform for Indian dairy farmers — 24/7 AI assistant GauGuru, breeding records, sire matching, SocialV community, and comprehensive farm management. Built for marginal farmers with 13+ regional languages.
Nitara Farmer
10K+ Downloads
2024 — PresentFeaturedDairy service provider platform
Built for veterinarians, paraveterinarians, AI technicians, milk collectors, and suppliers to connect with dairy farmers, manage cattle records, and grow their reach across the dairy ecosystem.
Nitara Friend
1K+ Downloads
2025FeaturedExplore the universe, one swipe at a time
An immersive space discovery app powered by NASA's Astronomy Picture of the Day. Infinite scroll feed of nebulae, galaxies, and cosmic phenomena with favorites, full-screen viewing, and shareable content.
Celestra
NASA APOD
Visual question answering for documents
Built a document image understanding system using OCR and Transformers. Improved data extraction accuracy by 25% and reduced processing time by 20%.
Document VQA
Research Project
Next-token prediction at scale
Developed a causal language model using BART and Transformers. Reduced perplexity by 15%, processing 1,000+ tokens/sec with 25% optimized training pipelines.
Causal LM
Research Project
A curated stack for building beautiful, performant mobile and ML-powered applications.
Building impactful products across mobile development and machine learning.
GormalOne LLP · Bengaluru, Karnataka
Android / iOS Developer
Accure.ai · Bengaluru, Karnataka
Machine Learning
Open to full-time roles, consulting engagements, and ambitious product collaborations.