IOP Conference Series: Materials Science and Engineering
Design of Force Sensitive Resistor (FSR) embedded insole for phase detection during human gait and its classification
Pant, U., Baral, S., Gupta, A., & Shrestha, P. L.
2024, September
Amit Gupta
Gait analysis, sensing hardware and applied machine learning
I work at the intersection of research and engineering: building the sensing hardware, computer-vision pipelines and data analysis behind human gait studies, then turning the results into software that runs reliably outside the lab. My published work covers FSR-instrumented insoles, pose-estimation based joint measurement and machine learning for fault detection.
Publications
2024
2023
International conference on the Efficiency and Performance Engineering Network (Springer Nature)
Application of Machine Learning Algorithm for Fault Detection in Pump
Bhattarai, A., Gupta, A., Kafle, A., Sapkota, P., Chitrakar, S., Dahlhaug, O. G., & Pradhan, S.
2023, August
IOP Conference Series: Materials Science and Engineering
Knee flexion/extension angle measurement for gait analysis using machine learning solution "mediapipe pose" and its comparison with Kinovea®
Gupta, A., Shrestha, P. L., Thapa, B., Silwal, R., & Shrestha, R.
2023, March
Experience
2024
07/01/2024 - Current
Lead Software Engineer
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.
2023
08/08/2023 - 08/12/2024
Research Exchange
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.
2022
02/01/2022 - 02/01/2024
Research Assistant
Kathmandu University
Built computer vision gait analysis system using MediaPipe pose estimation and sensor fusion, improving movement classification robustness and real-time inference performance.
2021
17/05/2021 - Current
Professional Freelancer (Senior Software Engineer)
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.
Research skills
- System Design & Architecture
- System Design · Clean Architecture · SOLID Principles · MVVM
- Web & Backend
- Python · Django · PostgreSQL · AI/ML
- Mobile
- Android (Kotlin, KMP)
- Deployment
- AWS · Docker · CI/CD
- Frontend
- React · Next.js · Tailwind CSS · GSAP
- Research & Academic (2+ Years)
- Data Acquisition & Analysis · Computer Vision (MediaPipe) · Sensor Fusion · Academic Writing
- IoT & Embedded Systems
- Android TV / STB · AOSP Firmware · BLE & Sensors · Digital Signage Systems
- Currently Learning
- RAG · LangChain · Terraform · Agentic AI
Expertise
- Total Software Development7+ Years
- 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.
- Backend & Databases4+ Years
- Building scalable APIs and managing complex data architectures with Python, Django, FastAPI, PostgreSQL, MySQL, and MongoDB.
- DevOps & Cloud1.5+ Years
- Executing end-to-end system deployment, continuous monitoring, containerization, and CI/CD pipeline automation utilizing AWS, Docker, Nginx, and GitHub Actions.
- AI & Machine Learning2+ Years
- Leveraging university research experience to build AI-native products, integrate intelligent data-driven models into production systems, and accelerate workflows using AI-assisted coding.
- Frontend1+ Years
- Crafting dynamic, responsive, and user-centric interfaces utilizing HTML, CSS, JavaScript, React, and Next.js.
- Native Android4+ Years
- Developing high-performance, robust mobile applications using Java, Kotlin, Jetpack Compose, KMM, and KMP.
- Professional Research2 Years
- 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.