Manav Amin

Software Engineer | Full-Stack & Backend Systems | AI/ML Applications
📍 Charlotte, NC 📞 (276) 469-5980 ✉️ manavamin7@gmail.com 🎓 B.S. in Computer Science (WGU)

01. Executive Summary & Value Proposition

Software engineer who designs, builds, and deploys scalable full-stack and backend systems using Java / Spring Boot, Node.js, and Python. Experienced in applied machine learning, containerized deployments (Docker, AWS ECS, Azure App Service), and zero-defect engineering backed by automated unit and integration testing.

02. Technical Skills Matrix

Domain Skills & Technologies Practical Evidence / Proven Usage
Backend & Microservices Java, Spring Boot, Spring Data JPA, Hibernate, Node.js, Express.js, REST APIs Production REST APIs with Domain-Driven Design (DDD), DTO projections, Bean Validation, and 50+ live e2e test transactions.
Programming Languages Java, Python, JavaScript, C++, SQL, Dart, PHP, HTML5/CSS3 Enterprise Java backends, C++ algorithmic logic, Python ML/data pipelines, Dart/Flutter mobile screens.
Applied AI & ML scikit-learn, Pandas, Supervised ML (Regularized Linear Regression), Fallback Inference, NLP Predictive completion-time engine with 4-tier fallback inference; multi-domain conversational AI across 200+ sessions.
Robotics & Spatial AI Sensor Fusion, CoppeliaSim, Dijkstra Pathfinding, Bayesian Modeling Autonomous agent achieving 92% mission completion rate across stochastic disaster simulations.
Databases & Cloud MySQL, MongoDB, Firebase, Cloudflare D1/R2, Docker, AWS (ECS), Azure App Service ACID transactional MySQL writes, Docker Compose containerization, zero-downtime CI/CD deployment.
Workflow Automation Python Pandas, Excel API, Google Sheets API, JS Triggers Automated inventory reconciliation (saving 3+ hrs/week) and real-time sales dashboards.
Mobile Development Flutter, Dart, Android SDK, Firebase Auth Cross-platform UI screens, mobile form validation, state management, and API connections.

03. Verified Projects & Case Studies

Java • Spring Boot • Docker • AWS ECS • Azure • GitLab CI/CD

1. Cloud-Native Enterprise Scheduling Platform

  • Re-architected a legacy hotel scheduling monolith into a cloud-native platform with multithreaded i18n rendering, multi-currency formatting, and IANA time-zone conversion.
  • Containerized with Docker Compose and established a GitLab CI/CD pipeline, shipping zero-downtime releases on AWS ECS and Azure App Service while reducing provisioning overhead by ~70%.
Node.js • Express • MySQL • Python • scikit-learn • REST API

2. Predictive Academic Intelligence Platform (CS Capstone)

  • Architected an intelligent task management system with a custom supervised ML engine (feature engineering, regularized linear regression, 4-tier fallback inference) for completion-time prediction under sparse-data conditions.
  • Engineered an online learning pipeline with incremental retraining, parameterized queries, and transactional writes, cutting projected deadline-miss rates by ~30% in simulation.
Java • Spring Data JPA • Hibernate • MySQL • JUnit 5 • Mockito • Angular

3. Scalable Microservice REST Backend

  • Implemented a production-grade REST API using Domain-Driven Design across controller, service, repository, and persistence layers with DTO projections and Bean Validation.
  • Verified via JUnit 5/Mockito test suites across 50+ live transactions, achieving 100% data integrity and zero defects.
Python • NLP • Sensor Fusion • CoppeliaSim • Probabilistic Reasoning

4. Conversational AI & Autonomous Robotics (Research)

  • Deployed conversational assistant with intent classification and entity extraction across 200+ interactive sessions.
  • Built sensor-fused robotics agent with Dijkstra pathfinding and Bayesian modeling, reaching a 92% mission-completion rate in simulated disaster scenarios.
Python • Pandas • Excel API • Google Sheets API • JavaScript • SQL

5. Automated Inventory Reconciliation & Real-Time Analytics Suite

  • Automated reconciliation with Pandas pipelines, saving 3+ hours/week and reducing inventory shrinkage errors by ~25%.
  • Engineered real-time dashboard via Google Sheets API and JavaScript triggers, boosting high-margin SKU sales by 20%.

04. Service Packages & Pricing Guide

Service Domain Hourly Rate Fixed Milestone Example Approx. INR (₹)
Backend & REST APIs $12 – $20 / hr $100 – $400 ₹8,800 – ₹35,200
Python Automation & ETL $15 – $25 / hr $120 – $450 ₹10,500 – ₹39,600
Machine Learning Prototype $15 – $25 / hr $150 – $500 ₹13,200 – ₹44,000
Mobile App Feature (Flutter) $12 – $20 / hr $150 – $500 ₹13,200 – ₹44,000

05. Client Proposal Template

Hi [Client Name], I noticed your requirement for [specific need: e.g., building a RESTful API / automating data pipelines / developing an ML prototype]. As a Software Engineer with practical experience in Java (Spring Boot), Python, and Node.js, I have previously: - Re-architected legacy backend systems into cloud-native, containerized services with zero-downtime CI/CD on AWS/Azure. - Built custom predictive ML pipelines (scikit-learn) with incremental retraining and 4-tier fallback handling. - Automated data workflows and reconciliation systems using Python and Pandas, cutting hours of manual overhead. I focus on clear milestones, defensive code with automated test coverage, and transparent updates. Let's discuss your requirements and define a practical initial milestone to get started. Best regards, Manav Amin Charlotte, NC | (276) 469-5980 | manavamin7@gmail.com

Manav Amin • Developer Portfolio & Skill Verification Matrix • Updated October 2026