LiveProducts & Software
Financial Mirror
AI-powered financial awareness platform helping users understand spending habits, financial personality and future planning.
Full Stack Software Engineer
I work across Python, Java, React, GCP, and data-heavy systems to turn messy processes into software that teams can trust.
Frontend, backend, databases, GCP
Architecture and cloud proof
BITS Pilani distance program
Freelance and recruiter conversations
Selected work
A focused portfolio beats a long gallery. These projects show product thinking, backend depth, cloud work, AI, and analytics.
LiveProducts & Software
AI-powered financial awareness platform helping users understand spending habits, financial personality and future planning.
BetaProducts & Software
An AI product I am building, now in public beta. More details will follow as it matures.
LiveProducts & Software
Minimal company/studio page for positioning freelance services, product work, process, and contact flows with a calm console-inspired interface.
LiveFreelance services
The offer is intentionally practical: scope the smallest real version, build it cleanly, and keep the path to launch visible.
Clickable product versions for founders who need to validate fast without agency overhead.
Operational screens, reporting flows, admin panels, and team tools that replace spreadsheet chaos.
Event-driven workflows, API integrations, email processing, cloud functions, and scheduled jobs.
Practical AI features, computer vision experiments, model integration, and data processing pipelines.
Clear, fast sites for small products, portfolios, and service pages with strong conversion paths.
Recruiter proof
A quick read for hiring teams, with enough detail to show what I have actually been doing.
Developed and supported full-stack business applications using React, JavaScript, Java, Python, and GCP across feature development, integrations, testing, and production support.
Developed backend services and cloud-native workflows using Python, Cloud Functions, Pub/Sub, Firestore, and App Engine.
Implemented a YOLO-based computer vision solution for plastic waste classification, achieving ~75% detection accuracy on custom datasets.
Trained crop classification models achieving ~95% accuracy using structured agricultural datasets and feature-engineered inputs.
Process
Clarify the problem, users, constraints, and what a useful first version must prove.
Ship working increments with simple demos, clear tradeoffs, and visible progress.
Deploy, document the handoff, and polish the details that make the product usable.
Contact
Send a short note. I am open to software engineering roles, AI/backend work, and freelance builds for founders or small teams.
Optional interactive layer
Open it when you want the playful version: windows, apps, terminal commands, games, and the older experimental portfolio interface.
Experience this portfolio as a desktop operating system.
Apps, terminal, AI assistant, games and more.
Click the monitor to enter