Mohit Aggarwal — Backend Engineer

EXPERIENCE

ASSOC. ENGINEER II

SWE INTERN

Associate Engineer II

United Airlines Business Services Pvt Ltd

Java · Spring Boot · Kafka · AWS S3 · DynamoDB · Neptune · Dynatrace

JUL 2024 — PRESENT

✈ CSAVER — PASSENGER CONNECTION SAVER

Owned production stability by resolving multiple P2/P3 incidents within 2-hour SLA, protecting 37 flights from delays and achieving zero minutes of total passenger impact
Engineered early arrival flight classification logic to identify valid passenger connections, boosting crew STIP scores by 50% daily and improving operational staffing outcomes
Architected S3 lifecycle policies across 10+ TB of data, reducing cloud storage costs by thousands of dollars monthly through intelligent data tiering and expiration strategies

◈ UNITED ONE POC — GRAPH DATABASE LATENCY OPTIMIZATION

Designed and populated a production-scale graph database modeling 100+ airports and 4,000+ daily flights, capturing complex route relationships using Amazon Neptune and Neo4j
Reduced flight route query latency from 300–400ms to 2–3ms — a 99%+ performance improvement — by leveraging native graph traversal capabilities
Solved multi-hop flight query performance, bringing complex itinerary lookups from seconds to milliseconds
Delivered a stakeholder-facing UI prototype to demonstrate backend capabilities to business users, bridging the gap between engineering and product teams

⚡ PREDICTIVE ANALYZER — FLIGHT DELAY PREDICTION ENGINE

Re-engineered DynamoDB data models with optimized PK, SK and GSIs, reducing query latency from seconds to milliseconds across a 200 GB dataset
Introduced Kafka message keying to enforce partition-level ordering, eliminating data sequencing bugs and significantly improving end-to-end data correctness
Built Dynatrace observability dashboards using DQL with log-driven queries, accelerating incident detection and reducing mean-time-to-resolution across production services

⛽ DYNAFUEL — FUEL OPTIMIZATION PLATFORM

Implemented concurrency control mechanism using Python synchronization and mutex locking for 3 GB file downloads, scaling simultaneous user capacity from 3–4 to 100+ concurrent users — a 25× throughput improvement

Software Engineer Intern

United Airlines Business Services Pvt Ltd

Java · Spring Boot · AWS ECS · AWS Lambda · Solace · Python

JAN 2024 — JUN 2024

Refactored legacy monolithic batch processing pipeline into event-driven microservices using Solace messaging and AWS Lambda, reducing processing latency by 15% and improving system responsiveness
Resolved 30+ critical security vulnerabilities during a Python version upgrade, strengthening application resilience and eliminating potential attack vectors from unvalidated log injection
Containerized and deployed microservices on AWS ECS, configuring task definitions, service scaling policies and IAM roles to ensure secure workload orchestration
Documented REST API contracts using OpenAPI/Swagger, improving cross-team developer experience and reducing onboarding time for new engineers

PROJECTS

01 / CSAVER

CSaver

37 FLIGHTS PROTECTED · 0 MIN DELAY · +50% STIP

Passenger connection saver handling real-time flight operations. Resolved multiple P2/P3 incidents within 2-hour SLA. Engineered early arrival logic and architected S3 lifecycle policies across 10+ TB of data.

JavaSpring BootKafkaAWS S3DynamoDB

02 / UNITED ONE POC

United One POC

300–400MS → 2–3MS · 99%+ IMPROVEMENT

Production-scale graph database modeling 100+ airports and 4,000+ daily flights. Leveraged Neptune and Neo4j to eliminate latency bottlenecks for route and multi-hop itinerary queries.

Amazon NeptuneNeo4jPythonAWS LambdaCypher

03 / PREDICTIVE ANALYZER

Predictive Analyzer

SECONDS → MILLISECONDS ON 200 GB

Flight delay prediction engine. Re-engineered DynamoDB models with PK/SK/GSI optimization. Introduced Kafka keying to enforce partition ordering and built Dynatrace dashboards using DQL.

DynamoDBKafkaDynatraceDQLAWS

04 / DYNAFUEL

Dynafuel

3 → 100+ CONCURRENT USERS · 25× THROUGHPUT

Fuel optimization platform. Implemented mutex-based concurrency control for 3 GB file downloads, scaling capacity 25× while reducing memory footprint by 30% through Python synchronization techniques.

PythonConcurrencyMutex LocksAWS S3

SKILLS

LANGUAGES & FRAMEWORKS

Java
Spring Boot
Python
C++
Spring MVC / Security
Hibernate / JUnit / Mockito

MESSAGING & CLOUD

Apache Kafka
AWS (S3, ECS, Lambda…)
Solace
SQS / SNS / EventBridge
Docker / Jenkins
Dynatrace / CloudWatch

DATABASES

DynamoDB
Amazon Neptune
Neo4j
MongoDB
Redis
MySQL

DEVELOPER TOOLS

Git / GitHub
Postman
OpenAPI / Swagger
Harness CI/CD

CORE CONCEPTS

Data Structures & Algorithms OOP & SOLID Principles System Design (HLD & LLD) Microservices Architecture Event-Driven Architecture Distributed Systems REST API Design Multithreading & Concurrency Computer Networks Graph Databases Database Optimization Disaster Recovery

EDUCATION & ACHIEVEMENTS

Delhi Technological University

B.Tech in Mathematics and Computing

Minor in Computer Engineering

GPA 8.68 / 10 DEC 2020 — MAY 2024

CERT
Neo4j Professional Certified — Advanced graph database design and Cypher query optimization
PROD
99%+ latency reduction delivered in production at United Airlines — 300ms to 2ms on flight route queries
SCALE
25× throughput improvement on Dynafuel platform via Python concurrency control mechanisms
DSA
800+ problems solved on LeetCode — consistent algorithmic problem solver
OPS
Zero passenger delay across 37 flights through rapid P2/P3 incident resolution within 2-hour SLA

MOHITAGGARWAL

EXPERIENCE

PROJECTS

SKILLS

EDUCATION & ACHIEVEMENTS

MOHIT
AGGARWAL