Pratiyush Prakash

Software Engineer

Goa, India4 yrs 10 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Proficient in Machine Learning and Distributed Systems.
Developed predictive models achieving high accuracy.
Experience in backend development for various applications.

Stackforce AI infers this person is a Software Engineer with expertise in Machine Learning and backend development.

Contact

prakashp@amazon.com LinkedIn

Skills

Core Skills

Machine LearningDistributed Systems

Other Skills

ARIMAAlgorithmsApache IgniteArtificial Intelligence (AI)BlockchainCC++Core JavaData AnalysisData AnalyticsData ScienceData StructuresDjangoDockerGNU Octave

About

Enthusiastic Software Engineer eager to contribute to team success through hard work, give attention to detail, and excellent organizational skills. I have a clear understanding of Distributed Systems and Time Series Forecasting and I am always Motivated to learn, grow, and excel in various fields.

Experience

4 yrs 10 mos

Total Experience

2 yrs 5 mos

Average Tenure

4 yrs 4 mos

Current Experience

Amazon

2 roles

Software development engineer 2

Promoted

Jul 2024 – Present · 1 yr 11 mos · Gurgaon

Software Development Engineer 1

Feb 2022 – Present · 4 yrs 4 mos · Gurgaon

Sixt research & development india

Software Development Engineer

Aug 2021 – Feb 2022 · 6 mos · Bengaluru, Karnataka, India

Reliance industries limited

Software Engineer Internship

Jul 2020 – Aug 2020 · 1 mo

Worked on the In-Memory features and distributed database use case of Apache Ignite along with its integrated Machine Learning modules.
Built a Oil Price Predicting model using the ARIMA model. Achieved an RMSE score of 6.06
Built a Sales forecasting model for retail to forecast their sales on individual items and restock the inventory accordingly so as to maximise profits.
Explored on Integration of Spark with Ignite.

Apache IgniteMachine LearningARIMASales forecastingSparkDistributed Systems

Crio.do

Student Developer

Feb 2020 – Apr 2020 · 2 mos

Built the back end of QBox which is a secure file-sharing service ( a customized version of the popularly available VSFTPD server ) and also the back end of QMoney which is a visual stock portfolio analyzer (It helps portfolio managers make trade recommendations for their clients.) and also learned and practiced solving Algorithmic problems in a structured way in QPrep.