Skip to content

04 / About

Software designed for real-world constraints

I began in mobile engineering and progressed toward the systems beneath the interface: services, data pipelines, and the hardware at the other end of the connection. Across each area, I focus on software that remains dependable under load, through connectivity failures, and within the memory limits of its target device.

My current research interest is the deployment of capable models locally. Most production LLM systems assume a network request to a hosted API; local inference treats latency, privacy, and cost as a single engineering problem. I have built adjacent systems and am seeking opportunities that treat local inference as a primary design goal.

I hold an M.S. in Information Technology from Westcliff University (4.0 GPA, 2025) and a B.E. in Information Technology from Gujarat Technological University.

04.1 / At a glance

At a glance

Full name
Abhijeet Gajjar
Based
Artesia, CA · Los Angeles area
Role
Software Engineer
Years
6 (mobile → backend → devices)
CV
Download PDF
Email
gajjarabhijeet@gmail.com
Phone
(562) 215-3250
Open to
Full-time · Los Angeles area

04.2 / Timeline

Experience

  1. 2026—

    June 2026 – Present

    Full Stack Engineer · Pilot AI Labs

    Newport Beach, CA

    • Shipped a production commerce application from zero to release in one month against a serverless AWS Lambda backend.
    • Integrated Stripe and the 3DLOOK body-measurement API behind REST endpoints with webhook handling for asynchronous state updates.
    • Prototyped on-device Core ML inference to remove per-request hosting cost.
    • AWS Lambda
    • Stripe
    • REST
    • Core ML
    • Python

  2. 2024—26

    Aug 2024 – June 2026

    Software Engineer · Propbase LLC

    Minneapolis, MN

    • Architected horizontally scalable REST APIs on Azure with end-to-end ownership of the backend infrastructure.
    • Built Python and FastAPI microservices executing natural-language tasks autonomously through LangChain and LangGraph.
    • Automated staging-to-production data workflows in Azure Data Pipelines.
    • Azure
    • Python
    • FastAPI
    • LangGraph
    • LangChain

  3. 2022—23

    May 2022 – Apr 2023

    Software Engineer · Cygnet Infotech

    Ahmedabad, India

    • Architected reusable components for IoT device applications adopted by four enterprise clients.
    • Instituted TDD with XCTest, driving a 70 percent crash-rate reduction.
    • IoT
    • Swift
    • XCTest
    • TDD

  4. 2020—22

    Mar 2020 – Apr 2022

    Software Engineer · BeLocum

    Québec, Canada

    • Built ML computer-vision features in PyTorch and TensorFlow for real-time object counting.
    • Led an Objective-C to Swift migration.
    • Authored a component library that accelerated developer productivity 25 percent.
    • PyTorch
    • TensorFlow
    • Swift
    • Core ML

  5. 2019—20

    Feb 2019 – Jan 2020

    Software Engineer · Ecosmob Technologies

    Ahmedabad, India

    • Reduced crash rates 20 percent across 18+ production applications through unit and UI test suites and hardened API data-retrieval paths.
    • Testing
    • REST
    • Mobile

04.3 / Skills

Technical toolkit

Languages, backend frameworks, embedded protocols, data systems, cloud platforms, and AI/ML tools grouped by practical use.

Languages

  • Python
  • JavaScript/TypeScript
  • C++
  • SQL
  • Swift
  • Kotlin
  • Java
  • Bash

Backend & APIs

  • FastAPI
  • Flask
  • Django
  • Node.js
  • Spring Boot
  • REST
  • GraphQL
  • WebSockets
  • Microservices
  • OAuth

Embedded & protocols

  • Raspberry Pi
  • Texas Instruments
  • GPIO
  • I2C
  • SPI
  • UART/RS-232
  • USB
  • Embedded Linux
  • Core Bluetooth
  • BLE
  • TCP/IP

Data

  • PostgreSQL
  • MySQL
  • SQLite
  • MongoDB
  • Redis
  • Snowflake
  • Azure Data Pipelines
  • ETL
  • Pandas
  • NumPy

Cloud & reliability

  • AWS
  • Azure
  • GCP
  • Docker
  • Kubernetes
  • CI/CD
  • Jenkins
  • Zero-downtime deploy
  • Logging
  • Monitoring

AI/ML

  • PyTorch
  • TensorFlow
  • OpenCV
  • Hugging Face
  • Core ML
  • INT4/INT8 quantization
  • LangChain
  • LangGraph
  • RAG
  • Pinecone
  • Chroma
  • Llama
  • Mistral
  • Gemma
  • Qwen
  • GGUF
  • llama.cpp
  • Ollama
  • Apple MLX

Testing

  • TDD
  • BDD
  • Unit testing
  • Integration testing
  • Automated regression
  • Root-cause analysis

04.4 / Education

Education

  • M.S. Information Technology

    Westcliff University · Irvine, CA

    June 2025 · GPA 4.0/4.0

  • B.E. Information Technology

    Gujarat Technological University · Ahmedabad, IN

    June 2017