I’m a backend engineer and computer engineering student who enjoys building reliable, scalable products from the ground up. My experience spans Node.js, Express.js, PostgreSQL, Redis, Docker, AWS, and real-time systems, with a strong focus on APIs, distributed workers, authentication, and failure recovery. I have worked on scalable backend services, distributed systems, real time applications, AI powered systems, and consumer facing applications. I have experience designing APIs, data flows, authentication systems, background processing, caching, and failure recovery mechanisms. Additionally I have also worked on systems involving asynchronous workloads, horizontal scaling, cloud infrastructure, and performance optimization.

Suraj Tripathi

I’m a backend engineer and computer engineering student who enjoys building reliable, scalable products from the ground up. My experience spans Node.js, Express.js, PostgreSQL, Redis, Docker, AWS, and real-time systems, with a strong focus on APIs, distributed workers, authentication, and failure recovery. I have worked on scalable backend services, distributed systems, real time applications, AI powered systems, and consumer facing applications. I have experience designing APIs, data flows, authentication systems, background processing, caching, and failure recovery mechanisms. Additionally I have also worked on systems involving asynchronous workloads, horizontal scaling, cloud infrastructure, and performance optimization.

Available to hire

I’m a backend engineer and computer engineering student who enjoys building reliable, scalable products from the ground up. My experience spans Node.js, Express.js, PostgreSQL, Redis, Docker, AWS, and real-time systems, with a strong focus on APIs, distributed workers, authentication, and failure recovery. I have worked on scalable backend services, distributed systems, real time applications, AI powered systems, and consumer facing applications. I have experience designing APIs, data flows, authentication systems, background processing, caching, and failure recovery mechanisms. Additionally I have also worked on systems involving asynchronous workloads, horizontal scaling, cloud infrastructure, and performance optimization.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

English
Fluent
Hindi
Fluent

Work Experience

Full Stack Developer at SS Solutions
August 17, 2026 - Present
Founding Engineer at ECTO Ind.
May 1, 2026 - August 10, 2026
Joined a 2-3 person founding team, building the Flutter client and backend APIs for a ride-hailing platform from scratch. Developed REST APIs for user and driver authentication flows and integrated them with the Flutter application. Built responsive iOS and Android interfaces with Flutter and Google Maps API for live tracking and Provider state management across 10+ screen sizes
Research Intern at Thapar Institute of Engineering & Technology
June 1, 2024 - July 1, 2024
Architected a full-stack stress detection system tested on 40+ subjects, achieving 95% accuracy via SVM-KNN ensemble trained on 3 benchmark datasets. Integrated 3 physiological sensors capturing heart rate, SpO2, and body temperature for multi-modal biometric analysis; project ranked Top 10 in the ELC cohort.

Education

Bachelor of Engineering in Computer Engineering at Thapar Institute of Engineering and Technology
September 1, 2022 - July 1, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Computers & Electronics, Education, Software & Internet
    universe

    Shipped and maintain a production Flutter super-app used by 1000+ (highest) students at Thapar University, covering event tracking, club management, peer networking, campus Q&A, and interactive campus navigation. Designed the backend API layer and integrated Cloudflare CDN for video delivery, reducing average mobile load time by 35%. Led unit testing and 3+ iterative release cycles end-to-end

    flawless

    Built Flawless, an AI tutor that converts PDFs into narrated animated lessons using a multi-stage LLM pipeline with FastAPI and PostgreSQL, including curriculum planning, scene generation, and Cloudflare R2 caching for instant regeneration. Designed a GPU-aware rendering pipeline with RunPod TTS workers, parallel LLM processing, and single-flight locking to prevent duplicate generation, improving scalability for multiple learners while ensuring smooth playback.