Aditya Khandelwal

Backend Engineer

Bengaluru, Karnataka, India1 yr 10 mos experience

Key Highlights

Ranked in top 14% globally on competitive programming platforms.
Built scalable web applications using modern technologies.
Passionate about creating efficient systems with real impact.

Stackforce AI infers this person is a Backend Developer specializing in Healthcare technology with strong skills in Node.js and AWS.

Contact

aditya01khandelwal@gmail.com LinkedIn

Skills

Core Skills

Node.jsAwsReact.jsSql

Other Skills

API DevelopmentAlgorithmsAmazon Web Services (AWS)Analytical SkillsApache AirflowApache KafkaC (Programming Language)C++Cascading Style Sheets (CSS)Cashfree APIComputer ScienceData StructuresExpress.jsGitGitHub

About

I’m a Backend Developer at Visit Health and a BITS Pilani graduate in Electronics and Instrumentation Engineering. I build scalable, high-performance web applications using Node.js, React.js, AWS, Kafka, and REST APIs. Skilled in Java, Python, SQL, C, C++, JavaScript, and TypeScript. As an active competitive programmer, I’ve solved 700+ problems across LeetCode and Codeforces, ranking in the top 14% globally (peak LeetCode rating: 1769, global rank: 499). Passionate about building efficient systems that deliver impact. 📩 aditya01khandelwal@gmail.com

Experience

1 yr 10 mos

Total Experience

1 yr 10 mos

Average Tenure

1 yr 10 mos

Current Experience

Visit health

2 roles

Backend Developer

Promoted

Jul 2024 – Present · 1 yr 10 mos

Streamlined Bank Details Management for Reimbursements: Redesigned the in-app bank details flow to let users view, edit, and re-add deleted records using Cashfree API, addressing repeat claim rejections and reducing user friction
Integrated Real-Time Validation via Cashfree API: Implemented inline account and IFSC verification with dynamic error handling and consent-based name matching, improving data accuracy and cutting support tickets.
Redesigned Lab Order Booking UI: Led frontend revamp of the lab booking experience, enabling labs to confirm, reschedule, or reject appointments with improved UX and real-time feedback.
Integrated Backend APIs and PDF Upload via AWS: Connected redesigned UI with backend services, leveraging Kafka for event-driven updates and integrating a document upload module using AWS S3 for lab reports.
Automated Operational Flows with Node.js and Airflow: Authored multiple scripts to reduce manual overhead, including a daily network center deactivation flow and a feedback trigger system targeting users whose reimbursements completed within 7 days, improving response time and user engagement.

MySQLPostmanNode.jsAWSKafka

Backend Developer

Jan 2024 – Jun 2024 · 5 mos

Optimized Doctor Productivity Tracking: Wrote SQL queries to track daily active time, case completion counts, and total recording duration. Enhanced system to capture start/end recording events, providing detailed insights into case duration and call listening time for performance analysis.
Developed a user approval and rejection page: Customized this process for several insurance companies, developed Pug templates and created RESTful routes for review, rejection, and approval.
Engineered a real-time case completion tracking system: Oschestrated several SQL queries and implemented controller-driven analytics in Node.js, filtering non-workable cases, and automating daily completion rate calculations across multiple insurers.
Implemented Dynamic Database Search : Developed a dynamic search feature that retrieves database entries based on user-defined prefixes to display of relevant data in the table.

Express.jsApache KafkaSQLNode.js