Amit GuptaEngineering systems that scale

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)

About

As a Tech Lead and Full Stack Engineer (Backend-Focused) with 7+ years of experience architecting scalable systems, I drive the complete lifecycle from requirement gathering and MVP development to cloud deployment and monitoring. Communicating directly with clients, I build complex software solutions and AI-based systems. Backed by AI/ML research, I integrate AI capabilities, build AI-native products, and leverage AI-assisted coding. I am skilled in leading teams, mentoring, and applying deep expertise across Backend, Native Android, and DevOps to drive business growth. I am a pragmatic builder and debugger who approaches software development from a strict systems engineering perspective. By combining strong coding fundamentals with a highly iterative mindset, I build quickly, diagnose issues efficiently, and continuously refine architectures to scale seamlessly from initial single region deployments to high concurrency, multi sharded environments.

Domain 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.

Featured Work & Projects

Scroll down to explore case studies and systems engineered across web, mobile, and AI.

Monorepo Portfolio

Monorepo Portfolio

A production-grade portfolio built with Next.js, Tailwind CSS, and structured for a future Django backend integration.

Next.jsTypeScriptTailwind CSS
Task Management API

Task Management API

A robust backend service featuring JWT authentication, role-based access control, and comprehensive test coverage.

DjangoPythonPostgreSQLDocker
E-Commerce Platform

E-Commerce Platform

A full-featured e-commerce solution with Stripe payment integration, real-time inventory tracking, and an admin dashboard.

ReactNode.jsMongoDBStripe
Real-time Chat App

Real-time Chat App

A scalable chat application featuring WebSocket connections, online status indicators, and message history.

ReactExpressSocket.ioRedis
AI Image Generator

AI Image Generator

A creative tool allowing users to generate artwork from text prompts using OpenAI's DALL-E 3 API.

Next.jsTailwindOpenAI APIVercel
SaaS Analytics Dashboard

SaaS Analytics Dashboard

A comprehensive dashboard for SaaS companies to track user engagement, MRR, and churn rates.

Vue.jsNuxtChart.jsSupabase

Core Expertise & Skills

System Design & Architecture

System Design8/10
Clean Architecture9/10
SOLID Principles9/10
MVVM9/10

Web & Backend

Python9/10
Django8/10
PostgreSQL8/10
AI/ML8/10

Mobile

Android (Kotlin, KMP)9/10

Deployment

AWS8/10
Docker8/10
CI/CD8/10

Frontend

React7/10
Next.js7/10
Tailwind CSS8/10
GSAP6/10

Research & Academic (2+ Years)

Data Acquisition & Analysis8/10
Computer Vision (MediaPipe)8/10
Sensor Fusion7/10
Academic Writing8/10

IoT & Embedded Systems

Android TV / STB9/10
AOSP Firmware8/10
BLE & Sensors7/10
Digital Signage Systems8/10

Currently Learning

RAG5/10
LangChain5/10
Terraform4/10
Agentic AI4/10

Work & Leadership Experience

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.

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.

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.

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.

Research & Publications

2024, September

Design of Force Sensitive Resistor (FSR) embedded insole for phase detection during human gait and its classification

Authors: Pant, U., Baral, S., Gupta, A., & Shrestha, P. L.

Published in: IOP Conference Series: Materials Science and Engineering

2023, August

Application of Machine Learning Algorithm for Fault Detection in Pump

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

Knee flexion/extension angle measurement for gait analysis using machine learning solution "mediapipe pose" and its comparison with Kinovea®

Authors: Gupta, A., Shrestha, P. L., Thapa, B., Silwal, R., & Shrestha, R.

Published in: IOP Conference Series: Materials Science and Engineering

Get in Touch

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