Aayush Gogia

Software Engineer

Delhi, India6 yrs 2 mos experience

Most Likely To Switch

Key Highlights

6 years of experience in backend engineering
Expertise in Java and Go programming languages
Proven track record in building scalable systems

Stackforce AI infers this person is a Backend Engineer specializing in E-commerce solutions with a focus on scalable architecture.

Contact

aayush.gogia@nykaa.com LinkedIn

Skills

Core Skills

JavaGoKafkaAws

Other Skills

API GatewayAirflowAmazon SQSApache KafkaApache SparkC++DatabricksDistributed SystemsExpress.jsGlueJavaScriptKinesisMicroservicesMongoDBNoSQL

About

I am a Backend Engineer with 6 years of experience building scalable and high-performance backend systems. Furthermore, I am proficient in Java and Go. I believe in writing optimized and reliable code using the best engineering practices.

Experience

Nykaa

SDE-2

Jul 2023 – Present · 2 yrs 8 mos · Gurugram, Haryana, India

Architected a real-time pricing update service for Google and Facebook Shopping, leveraging Kafka and SQS for resilient data synchronization. This service handles close to 10 million events each day.
Engineered a scalable recommendation delivery system using an event-driven architecture using AWS API Gateway, Kinesis, S3, and Glue, with Airflow for orchestration, handling over 1 million user notifications daily.
Created a high-throughput audience upload service that efficiently syncs targeted user lists with marketing channels, processing over 50 million users daily.
Built and deployed multiple automated user notification events using Databricks, including flash sales and cart price drop alerts, to enhance user engagement.
Developed a new user loyalty program that rewards customers for their spending, directly impacting customer retention and lifetime value.

JavaGoKafkaSQSAWSAPI Gateway+4

Tata 1mg

Software Engineer 2

Sep 2021 – Jul 2023 · 1 yr 10 mos · Gurugram, Haryana, India

Worked on developing a new unified cart service, designed to provide customizable backend-controlled widgets to the clients. This was also done to phase out the legacy cart service. Core cart endpoints were optimised by more than 50%.
Worked on developing a new service for efficient utilisation of internal employees in post order placement management operations.
Worked on the migration of several legacy services to newer versions.

JavaPostgreSQL

Dailyobjects.com

Software Engineer

Jan 2020 – Sep 2021 · 1 yr 8 mos

Worked on re-writing and re-architecting scalable backend of the refreshed e-commerce platform and related internal tools from scratch, which increased the conversion by about 2%.
Introduced Centralized Communication System (micro-service) which can send E-Mail and SMS to users, <100k communication sent daily through this service by different teams.
Design and integrate different 3rd party delivery and payment partners’ services to improve logistic and financial services.
Design and develop centralized analytics and advertisement service.
Working on dynamic sorting of Home Page widgets to show content targeted and relevant to them.
Hiring the best talents for the company and mentoring junior developers and interns.
Also responsible for monitoring and feature releases in coordination with different teams.

JavaPostgreSQL

Indraprastha institute of information technology, delhi

Deep Learning Research Internship

Dec 2017 – Jan 2018 · 1 mo · Greater Delhi Area

Worked towards scraping of required data from various sources and their clustering. Various models like K-Means Clustering and Hierarchical Clustering were applied for clustering documents into the various categories for application in sockpuppet detection.

Indian institute of technology, patna

Machine Learning Research Internship

May 2017 – Jul 2017 · 2 mos · Greater Patna Area

Various models like K-Means Clustering and Hierarchical Clustering were applied for clustering documents into the various categories. Their architecture was understood and the performances of these models were analyzed. Convolution Neural Network was implemented for sentiment analysis on various datasets. Finally, Self Organizing Maps were implemented on the text data and research was done to improve the efficiency of this designed model. Word2Vec was used as an input to these models.