Open to opportunities

Adnaan User

@adnaanuser

Message

Entry-level software engineer building data-driven web apps and ML solutions.

India

Message

What I'm looking for

I’m looking for a role where I can build reliable, accessible web experiences and work with data/ML features—shipping improvements fast, collaborating via clear processes, and learning from teams that value quality and maintainability.

I’m an entry-level software engineer who enjoys turning complex problems into reliable, user-friendly products. I like working across the full stack—from building polished UIs to implementing data pipelines and ML workflows.

In open source, I’ve contributed fixes that improved frontend stability and usability, including resolving UI rendering behavior issues in frappe/frappe-ui and correcting component inconsistencies in kestra-io/ui-libs. I also shipped targeted frontend bug fixes and enhancements through multiple PRs while collaborating via GitHub issues, reviews, and discussions.

My projects reflect a strong focus on data and impact: I engineered a Sleep Tracker that captures, stores, and manages user-generated time-series data using a PostgreSQL-based Neon database, with a Tailwind UI for effective entry and visualization, plus secure authentication and cross-device accessibility.

I also build with ML and quality in mind—e.g., a 3D cardiac MRI segmentation pipeline using Deep Supervision U-Net (Deep supervision, preprocessing for volumetric NIfTI data, and combined Dice + Cross-Entropy loss), achieving a Dice score of 0.75 and 99.5% accuracy on validation data. For UI excellence, I created a portfolio with a 96+ Lighthouse performance score and 100% Accessibility, Best Practices, and SEO, aligned with WCAG 2.1 and strong semantic/keyboard navigation.

Experience

Work history, roles, and key accomplishments

3D Cardiac MRI Segmentation

Kaggle

Built an automated pipeline to segment multi-class cardiac structures from 3D MRI (NIfTI) volumes using a Deep Supervision U-Net. Implemented preprocessing and data augmentation and reported Dice score of 0.75 and accuracy of 99.5% on validation data.

Python PyTorch MONAI Nibabel NumPy Matplotlib Deep Learning Deep Supervision U Net Cross Entropy Loss

UI Reliability Enhancements

Generalaction emdash

Contributed multiple fixes and enhancements across separate PRs, improving reliability and UI behavior.

Frontend Reliability

UI Consistency Fix Contributor

Kestra ui-libs

Fixed UI inconsistencies in a component library, enhancing visual consistency and usability through a submitted PR.

Component Libraries

UI Rendering Fix Contributor

Frappe frappe-ui

Resolved a UI component issue affecting rendering behavior and contributed a merged fix improving frontend stability.

UI Components Frontend Frontend Stability

Personal Portfolio

GitHub

Engineered a personal portfolio with strong Lighthouse performance and full accessibility, best practices, and SEO ratings. Implemented centralized TypeScript-based project data management and ensured WCAG 2.1-aligned accessibility with semantic HTML and keyboard navigation.

Next.js TypeScript SEO Performance Optimization

Sleep Tracker Project

GitHub

Engineered a data-driven sleep tracker to capture, store, and manage user time-series data using a Neon PostgreSQL database. Built a Tailwind UI for data entry/visualization and implemented secure authentication deployed with cross-device accessibility.

Next.js TypeScript Tailwind UI PostgreSQL NEON Authentication Data Visualization cloud deployment

Frontend Bug Fix Contributor

Cosscom coss

Implemented frontend bug fixes and minor improvements to enhance the user interaction flow via a PR.

User Flows

Education

Degrees, certifications, and relevant coursework

VNR Vignana Jyothi Institute of Engineering and Technology

Bachelor of Technology (B.Tech), Computer Science and Engineering (CSE)

2022 - 2026

Pursuing a B.Tech in Computer Science and Engineering (CSE) at VNR Vignana Jyothi Institute of Engineering and Technology in Hyderabad from 2022 to 2026.