Software, engineered
with clarity.
Full-stack developer working across Java, Spring Boot, React, TypeScript, and Python. I build secure APIs, AI-assisted applications, and developer tools that turn complex workflows into dependable products.
ABOUT ME (&)
Visual communication taught me clarity. Full-stack work turned that instinct into systems; open source and AI tooling keep sharpening it.
2024
Visual foundations
Worked as a freelance graphic designer, developing practical experience in visual hierarchy, creative interpretation, client communication, feedback, and independent delivery.
FORM → HIERARCHY → CLARITY2025
Full-stack & backend
Built React products and layered Java services with authentication, persistence, validation, payments, API contracts, and clear domain boundaries.
CONTROLLER / SERVICE / REPOSITORY2025
Machine learning foundations
Completed the Machine Learning Specialization covering supervised learning, advanced learning algorithms, unsupervised learning, recommender systems, and reinforcement learning.
DATA → MODEL → EVALUATION2025–PRESENT
Open source
Contributing to Submitty through issue investigation, interface fixes, pull-request testing, review discussions, and maintainer collaboration.
ISSUE → ROOT CAUSE → REVIEW2026
AI developer tools
Building AI-assisted workflows, MCP servers, developer tooling, deterministic safety controls, and systems where probabilistic models do not replace verification.
MODEL ≠ AUTHORITYSELECTED WORK
AI-assisted products, developer tools, backend services, and full-stack applications built around clear architecture, safety, and dependable behavior.
Scroll to move through selected work →
CAPABILITIES
Secure backends, useful interfaces, and controlled AI workflows — tested at the seams.
Layered services, secure APIs, clear domain boundaries, predictable validation, persistence, and maintainable business logic.
EXPERIENCE
December 2025–Present
Contributing to a large open-source education platform through issue investigation, frontend fixes, discussion-forum improvements, grading-interface edge-case handling, pull-request testing, code review, and maintainer collaboration.
November 2024–September 2025
Delivered visual-design work while managing client communication, creative interpretation, revisions, and independent delivery—the visual foundation that still informs how I structure software interfaces.
OPEN-SOURCE PROOF
A five-step method for entering an unfamiliar codebase without guessing.
Reproduce the issue and map the affected interface or backend path.
Reduce the failure to its root cause and identify the smallest responsible boundary.
Implement a targeted fix with attention to nearby behavior and edge cases.
Test the change and peer pull requests in the real project workflow.
Discuss tradeoffs with maintainers and iterate on feedback.
Verified contribution URLs remain intentionally hidden until supplied; no issue, pull-request, or impact counts are invented.
CURRENT DIRECTION
A four-term path from model foundations to dependable AI systems.
EDUCATION & CREDENTIALS
Currently pursuing
Computer Science
Birla Institute of Technology and Science, Pilani
3-course specialization
DeepLearning.AI and Stanford Online · Coursera
FAQ
Backend, full-stack, AI engineering, developer-tooling, open-source, internship, and selected freelance opportunities.
No. Each case study identifies whether a project is deployed, open source, production-style, experimental, or educational. Limitations are documented instead of hidden.
AI is used for language understanding, drafting, extraction, or automation. Critical decisions such as safety escalation or test verification remain deterministic wherever reliability requires it.
Yes. Case studies link to public repositories and explain important architecture and entry points.
START A CONVERSATION
I’m interested in backend systems, AI developer tools, open-source software, and products where reliability matters.
