Go/Python Full-Stack Engineer for Scalable AI Apps
Resume:
Shivam Patel
Software Engineer
Phone number: 301-***-****
Email: ***********@*****.***
GitHub
SUMMARY
I’m a full-stack software engineer with experience building RESTful APIs and web applications using Go and Python. I am working with databases, containerized deployments, and modern web technologies to create reliable, scalable systems. I enjoy developing end-to-end solutions and continuously sharpening my skills through hands-on work. I’m looking for an opportunity to grow as a developer while contributing to impactful, real-world projects. SKILLS
Languages: Go, Python, JavaScript, Java
Backend: Flask, FastAPI, REST APIs, Go (Gin), SQLAlchemy Frontend: HTML, CSS, HTMX, React, CSS Libraries(TailWindCSS, BootStrap, Bulma) Databases: PostgreSQL, MongoDB, SQLite
Tools: Docker, Git, Fly.io, PyTest, Databricks
Technologies: PyTorch, ONNX, Hailo AI (Edge Inference) Protocols: HTTP, HTTPS, MQTT, TCP
Concepts: Data Modeling (ERD), API Design, ETL with IoT Data Pipelines, Event-Driven Architecture, Pub/Sub Messaging
AI-Assisted Development: Claude (prompt engineering, debugging workflows, code generation, system design iteration, used for heavy lifting) EXPERIENCE
Software Engineer — AirSpotter Assist Inc (Remote/Part-time) 2024 – Present
Built backend services using Go and PocketBase for a marine-life monitoring platform
Designed and implemented database schemas using SQLite
Developed server-rendered UI using HTMX and Go templates
Deployed applications using Docker and Fly.io
Contributed to computer vision workflows including dataset preparation and model experimentation
Built an event-driven processing pipeline using MQTT (pub/sub) to handle image and video data between distributed services
Developed a multi-service architecture with Go consumers and Python workers for asynchronous AI inference
Implemented topic-based message routing to classify and publish results (e.g., animal vs empty detections)
Enabled scalable, decoupled communication between services using a pub/sub messaging model
Developed and deployed lightweight computer vision models using PyTorch for edge inference on Raspberry Pi (Hailo AI accelerator)
Converted and optimized models (PyTorch ONNX HEF) for efficient real-time inference on resource-constrained hardware
Integrated edge-based inference into the MQTT pipeline to process image/video frames and publish detection results
Managed containerized deployments across development, testing, and production environments using Docker and Fly.io
Built ETL pipelines to ingest, transform, and load IoT sensor and image data from edge devices into centralized storage, enabling downstream analytics and model training workflows
Software Engineer — CodeJockey.io
2024 – 2025
Developed REST APIs using Python (Fast)
Wrote unit tests using PyTest and improved code quality
Worked with PostgreSQL and MongoDB for data storage
Contributed to full-stack development across backend and frontend Software Engineering Intern — CodePremi
2023 – 2024
Designed and implemented RESTful APIs using Python
Worked in a production codebase with senior developers
Strengthened debugging and backend architecture skills PROJECTS
StickScore (Gymnastics Meet Management System)
Work In Progress
Gymnastics Meet Management System
Developing a full-stack application using FastAPI, SQLAlchemy, and PostgreSQL for managing gymnastics competitions
Designed normalized relational schema (ERD SQL) for athletes, teams, sessions, judges, and scoring systems
StickScores backend is built with FastAPI and SQLAlchemy ORM for meet management, athlete registration, and score tracking
Handling complex relationships and data integrity using SQLAlchemy ORM and relational constraints
Architecting offline-first functionality with planned PWA support and client-side synchronization
Intern Project
Designed normalized relational database (ERD SQL)
Built ETL pipeline using Python and PostgreSQL
Developed REST API with Flask and tested with PyTest
Built frontend using HTML, CSS, JavaScript, and Bootstrap EDUCATION
Bachelor of Computer Science — University of Maryland Global Campus (2025) Associate Degree — Frederick Community College
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