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I'm Atul Bharadwaj,
a Software Engineer at Panasonic Avionics

Technologies I work with

TypeScript
JavaScript
Go
Python
React
Node.js
GraphQL
AWS
PostgreSQL
Redis
Kafka
Docker
Datadog
TypeScript
JavaScript
Go
Python
React
Node.js
GraphQL
AWS
PostgreSQL
Redis
Kafka
Docker
Datadog
TypeScript
JavaScript
Go
Python
React
Node.js
GraphQL
AWS
PostgreSQL
Redis
Kafka
Docker
Datadog

About Me!

Hi, I'm Atul, a software engineer at Panasonic Avionics building distributed, high-availability platforms — from serverless AWS backends and real-time Go services to full-stack passenger ecommerce experiences used by 10+ airline customers.

I care about system design, observability, and shipping reliable software quickly. I've led incident response for high-availability production services, building Datadog dashboards, monitors, and runbooks that cut MTTR by 40%.

Experience & Education

Work

July 2025 – Present

Panasonic Avionics Corporation, Irvine, CA

Software Engineer III

  • Architected and scaled a serverless passenger internet platform on AWS (Lambda, DynamoDB, Redis), growing throughput to 50K paid sessions/month while maintaining 99.9% uptime across 10+ airline customers.
  • Built a high-throughput Go backend using WebSockets and Redis to process live in-flight connectivity events, exposing low-latency REST APIs with full OTEL instrumentation and Datadog observability.
  • Led API design and infrastructure for a dockerized Node.js performance-testing pipeline on AWS ECR/ECS, powering network health dashboards across engineering teams.
  • Delivered end-to-end passenger ecommerce features (checkout, voucher redemption, session activation) integrating React frontends with GraphQL APIs and third-party payment services.
  • Designed a shared React + TypeScript component library with Storybook and CMS integration, reducing per-customer frontend setup time significantly.
  • Redesigned event ingestion using AWS EventBridge and SQS to handle 500 events/minute, cutting delivery latency 67% (3s → 1s) and eliminating message loss under peak load.
  • Led incident response for high-availability production services; built Datadog dashboards, monitors, and runbooks that reduced MTTR by 40%.

July 2023 – June 2025

Panasonic Avionics Corporation, Irvine, CA

Software Engineer II

  • Built a multi-tenant full-stack customization platform (React, GraphQL, PostgreSQL) serving 13 airline customers, cutting new airline onboarding time from months to days.
  • Owned multi-environment infrastructure provisioning with AWS CDK and CloudFormation, standardizing deployment pipelines across dev, staging, and production.
  • Built end-to-end and integration test suites in Playwright integrated into CI/CD, reducing production regressions.
  • Developed internal dashboards enabling airline partners to monitor passenger sessions, payments, and connectivity status in real time.

May 2022 – July 2022

Arthmetis, Charlotte, North Carolina, United States

Backend Development / Data Science Intern

  • Developed a web app with a Snowflake database using a Flask backend hosted on AWS EC2 to trace components of a manufactured product back to sellers, along with optimized sub-queries in SQL for tracking buyers for product recalls.
  • Designed a database with Snowflake warehousing to trace components of a manufactured product back to sellers, along with optimized sub-queries in SQL for tracking buyers for product recalls.

April 2021 – June 2021

Qualitas Technologies Pvt. Ltd., Bengaluru, India

Machine Learning Intern

  • Developed a QtLibrary in C++ for dominant color detection and filtering for automobile parts.
  • Developed an algorithm for automatic triggering and capturing of images from high-speed video feed for quality assessment in assembly lines.

May 2020 – July 2020

e-Yantra, Indian Institute of Technology, Bombay

Research Intern

  • Worked on a module for filters in Signal Processing.
  • Implemented a Neural Network for identifying common noise in the UrbanSounds 8k dataset.
  • Developed a novel method to determine starting/ending timestamps of audio intros for web-series using audio fingerprinting.
  • Developed a locally hosted voice assistant called 'VAANI' that can perform basic functions.

Education

September 2021 – May 2023

New York University, New York, NY

Master of Science in Computer Science, GPA: 3.75/4.00

  • Coursework: Algorithms, Cloud Computing, Big Data and Hadoop, Artificial Intelligence, Software Engineering.

August 2017 – July 2021

Visvesvaraya Technological University, Bengaluru, India

Bachelor of Engineering in Computer Science, GPA: 8.81/10.00

  • Consistently part of the department toppers' list.
  • Active participation in organizing the department's events.

July 2003 – June 2017

Venkat International Public School

Class 1 – 12

  • Studied Science (Physics, Math, Chemistry, Computers) in 12th and scored 92%.
  • Scored a 9.4 CGPA in class 10.

My Expertise

Distributed
Systems
System
Design
Multi-tenant
SaaS
Event-Driven
Architecture
Observability &
Incident Response

See my Work in Action.

My Skills

Languages & Frameworks

TypeScript
JavaScript
Go
Python
React
Node.js
GraphQL

Infrastructure & Observability

AWS
PostgreSQL
Redis
Kafka
Docker
Datadog

My Projects

Assistive Chatbot for Visually Impaired
Assistive Chatbot for Visually Impaired

Final Year Capstone Project

Data Visualizer
Data Visualizer

Web Lab Mini Project

Traffic Database Management System
Traffic Database Management System

DBMS Laboratory Mini Project

Certifications & Honors

Neural Network and Deep Learning

deeplearning.ai, Coursera — December 2019

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

deeplearning.ai, Coursera — January 2020

Introduction to Machine Learning

NPTEL, Indian Institute of Technology, Kharagpur — September 2019

Introduction to Cybersecurity

CISCO Networking Academy — June 2020

First Place — 'Rapid Rescuer', e-Yantra National Robotics Competition 2020

Hosted by IIT Bombay. Maze-solving robot capable of avoiding dynamic obstacles, replanning path mid-traversal, recognizing digits from image, and line following.

Kannada ImageNet: A Dataset for Image Classification in Kannada

Accepted at IEEE-sponsored International Conference on Computer Communication and Informatics, Coimbatore, 2021.

For me, engineering is more than writing code, it’s about building reliable, observable systems that hold up under real production load.

Distributed SystemsDistributed SystemsObservabilityObservabilityReliability EngineeringReliability Engineering

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Years of Experience

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Projects Shipped

Have something in Mind?

I’m always open to exciting opportunities, collaborations, or just connecting with like-minded engineers. Whether you’re looking to hire a backend/full-stack engineer, discuss a system design problem, or simply exchange ideas, I’d love to hear from you.

Let’s Connect