Salil Mamodiya

Software Engineer

Bangalore, Karnataka, India9 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Strong expertise in Machine Learning and predictive analytics.
Proficient in multiple programming languages and frameworks.
Experience in developing complex software solutions for major companies.

Stackforce AI infers this person is a Software Engineer with a focus on Machine Learning and Cloud Solutions.

Contact

salil.mamodiya@gmail.com LinkedIn

Skills

Core Skills

JavaAwsMachine Learning

Other Skills

ASP.NET MVCAlgorithmsCC#C++Canonical Correlation AnalysisCollective Matrix FactorizationData StructuresEmbedded SystemsHTMLImage ProcessingIntel 8085MatlabMicrocontrollersMulti-View Learning

Experience

9 yrs 9 mos

Total Experience

3 yrs 3 mos

Average Tenure

6 yrs 8 mos

Current Experience

Phonepe

Software Engineer

Aug 2019 – Present · 6 yrs 8 mos · Bengaluru, Karnataka, India

Rivigo

Software Development Engineer

Jun 2018 – Aug 2019 · 1 yr 2 mos · Gurgaon, India

Samsung electronics

Software Engineer

Jul 2016 – Jun 2018 · 1 yr 11 mos · Noida Area, India

Worked in Search team for Samsung Smart TV Search Engine platform.
Tech Stack: Java Spring, Node.js, C# MVC, Oracle DB, Jenkin, Solr, AWS (EC2, RDS, Lambda Microservices, DynamoDB, Elastic Cache, ELB, Gateway)

JavaSpring FrameworkNode.jsC#Oracle DBAWS

Xerox research center, india

Summer Internship

May 2015 – Jul 2015 · 2 mos · Bengaluru Area, India

Worked in Machine Learning and Statistics group at XRCI.
Project Title: Learning Across Non Overlapping Networks in Public Transportation
The project’s aim was to predict passengers’ demand for city stops where the city has less data for training. Developed a method to use knowledge learned from one city to predict demand for another city. Used Multi-View Learning, Canonical Correlation Analysis, Collective Matrix Factorization models for demand prediction.

Machine LearningMulti-View LearningCanonical Correlation AnalysisCollective Matrix Factorization