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hnss User

@hnssuser

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Full-stack engineer building AI-driven web and mobile products with ML/quantum research focus.

India

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What I'm looking for

I seek hands-on roles building AI-enabled web and mobile products where I can ship MVPs, work cross-functionally, apply ML/quantum research, and grow technical leadership.

I am a full-stack engineer who builds AI-driven web and native mobile products, contributing across frontend, backend and mobile stacks and helping shape early-stage product direction. I have delivered production-ready MERN applications, native Android/iOS clients, and integrated ML/DL models into scalable REST APIs for high-accuracy predictions.

My work spans applied machine learning, Google Earth Engine-based geospatial analysis, and experimental quantum-classical models for cybersecurity, complemented by open-source contributions and national hackathon recognitions. I prioritize clean engineering, rapid iteration on MVPs, and deploying research-forward solutions that are production-ready.

Experience

Work history, roles, and key accomplishments

Current

Full Stack Engineer

Current

Phinite.ai

Apr 2025 - Present (1 year 2 months)

Building mobile and web MVP for an AI-driven conversational workflow platform using MERN stack and native mobile technologies; contributing to full‑stack integration and early product direction.

MongoDB Kotlin Swift Mobile Development API Integration

Project Intern

Under Dr. Devika

May 2024 - Jul 2024 (2 months)

Built a full‑stack React Native + Flask app integrating ML/DL models (InceptionV3, VGG16, Random Forest) for crop analysis and prediction achieving 99% accuracy and used Google Earth Engine for satellite-based classification.

React Native Flask VGG16 Random Forest Google Earth Engine Firebase REST APIs

Education

Degrees, certifications, and relevant coursework

Keshav Memorial Institute of Technology

Bachelor of Technology, Computer Science and Engineering

2023 -

Activities and societies: Student projects in AI Farming, College Chatbot, and quantum machine learning research; participated in hackathons and open-source contributions.

Pursuing Bachelor of Technology in Computer Science and Engineering with coursework and projects in full-stack development, ML/DL, and cloud tools.