Manav Jain

Software Engineer

Bengaluru, Karnataka, India9 yrs 4 mos experience

Most Likely To Switch

Key Highlights

Proven expertise in backend development with Java and Golang.
Significant contributions to high-performance e-commerce systems.
Strong foundation in machine learning for predictive analytics.

Stackforce AI infers this person is a Backend Engineer with expertise in E-commerce and Machine Learning.

Contact

Skills

Core Skills

JavaGolangMachine Learning

Other Skills

Amazon DynamodbAngularJSApache KafkaBootstrapCCascading Style Sheets (CSS)Creative Problem SolvingData StructuresHTMLJavaScriptManagementObject-Oriented Programming (OOP)OpenGLProblem ManagementProblem Solving

About

Experienced Software Engineer with a demonstrated history of working in the apparel and fashion industry. Skilled in Python (Programming Language), C++, Management, and Go. Strong engineering professional with a Bachelor's degree focused in Computer Science from R. V. College of Engineering, Bangalore.

Experience

9 yrs 4 mos

Total Experience

1 yr 10 mos

Average Tenure

2 yrs 9 mos

Current Experience

Phonepe

Software Engineer

Sep 2023 – Present · 2 yrs 9 mos · Bengaluru, Karnataka, India · Hybrid

Navi

SDE 2

Sep 2022 – Sep 2023 · 1 yr

Amazon

Senior Software Engineer

May 2021 – Aug 2022 · 1 yr 3 mos · India

Myntra

Software Engineer, Backend

Jul 2018 – Apr 2021 · 2 yrs 9 mos · Bengaluru

Cart (java, springboot, mongo, redis )
Designed and implemented style exchange use case.
Designed and implemented endless aisle use case
Redesigned entire cart low level class diagrams
Designed dakiya to publish cart events to consumers such as bi, yantra, etc
Gocentral (golang)
Designed and implemented health check api's for go projects
Rtp (java, springboot, redis, kafka)
Improved redis data storage by 16x to store frequency capping of ads using ziplist. It helped to enable fc for 12M+ users.
Implemented cron based scheduler , to cleanup expired ads for all users .
Implemented server side caching of ads data using guava library
Statsd integration to track app performance
Ratings (golang, grpc, mysql, aerospike)
Built crud rpcs for ratings project.
Decoupled api functionality by using go routines to index data with search on runtime.
Enabled Connection pool with mysql which lead to 90 % im provementin p99 Response Time
Integrated Ratings project with flipkart for reviews moderation using jwt tokens.
Designed and implemented ratings/reviews for virtual bun dles.
Designed and implemented api to update image score in batches
Used batching to query users data from db for pdp api, which led to 80 % improvementin p99 Response Time
Created design doc for write review page enhancement , image only review use case
SmartStore (golang, aerospike, redis)
Worked on database migration from cassandra to aerospike for user targetted cards
Improved query pattern to use batch get vs get based on keys size. It reduced unnecessary go routines which came down to single digit from 7000
Used proto bytes to store data in aeropike. It led to 30 % im provement while unmarshalling the data over n/w
Reduced batch size for User vector cron job, which lead to 100 % success in data ingestion

javaspringbootmongoredisgolangaerospike+3

Pattern effects labs

machine learning intern

Jan 2018 – Apr 2018 · 3 mos · Banglore

1)I was working on intra day stock market prediction using machine learning techniques such as Random Forest, SVM ,decision tree.
2)Developed a script to report the total gain loss made due to machine learning model.This script could be configured based on different parameters such as min/max-loss, min/max-gains

Random ForestSVMdecision treeMachine Learning