Lead engineer building resilient backends, AI-native products and cloud platforms that grow from first MVP to high-concurrency scale.
Lead Engineer | Full Stack Engineer (Backend-Focused)
Gait analysis, sensing hardware and applied machine learning
2024, September
Authors: Pant, U., Baral, S., Gupta, A., & Shrestha, P. L.
Published in: IOP Conference Series: Materials Science and Engineering
2023, August
Authors: Bhattarai, A., Gupta, A., Kafle, A., Sapkota, P., Chitrakar, S., Dahlhaug, O. G., & Pradhan, S.
Published in: International conference on the Efficiency and Performance Engineering Network (Springer Nature)
2023, March
Authors: Gupta, A., Shrestha, P. L., Thapa, B., Silwal, R., & Shrestha, R.
Published in: IOP Conference Series: Materials Science and Engineering
07/01/2024 - Current
TheGemsTech
Architected and led scalable backend and application systems across fintech, ride-sharing, travel, and AI platforms, supporting multi-product architecture with CI/CD pipelines and cloud-ready deployments.
17/05/2021 - Current
Freelancer.com
Developed AI/ML systems including recommendation engines and generative AI applications, improving personalization quality and response relevance through NLP and machine learning pipelines.
08/08/2023 - 08/12/2024
Department of Biomedical Engineering, IIT Hyderabad
Designed and validated BLE-enabled FSR smart insoles achieving real-time gait data acquisition with improved signal reliability and experimental accuracy for clinical research systems.
02/01/2022 - 02/01/2024
Kathmandu University
Built computer vision gait analysis system using MediaPipe pose estimation and sensor fusion, improving movement classification robustness and real-time inference performance.
Architecting, designing, and delivering end-to-end scalable solutions across web, mobile, and cloud environments while managing the full product lifecycle from initial requirements to system monitoring.
Building scalable APIs and managing complex data architectures with Python, Django, FastAPI, PostgreSQL, MySQL, and MongoDB.
Executing end-to-end system deployment, continuous monitoring, containerization, and CI/CD pipeline automation utilizing AWS, Docker, Nginx, and GitHub Actions.
Leveraging university research experience to build AI-native products, integrate intelligent data-driven models into production systems, and accelerate workflows using AI-assisted coding.
Crafting dynamic, responsive, and user-centric interfaces utilizing HTML, CSS, JavaScript, React, and Next.js.
Developing high-performance, robust mobile applications using Java, Kotlin, Jetpack Compose, KMM, and KMP.
Served as a Research Assistant at Design Lab, Kathmandu University, specializing in Human Gait Analysis. Authored published papers and applied Machine Learning (ML) and Computer Vision (CV) techniques to advance data-driven research.
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