Shikhar Malhotra

Senior Software Engineer

San Francisco, California, United States9 yrs 4 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Over 3 years of experience in software product development.
  • Strong background in data mining and application development.
  • Proficient in AWS technologies and cloud computing.
Stackforce AI infers this person is a SaaS and E-commerce software engineer with expertise in cloud computing and data analysis.

Contact

Skills

Core Skills

Data MiningApplication Development

Other Skills

AWS CloudFormationAWS ElasticsearchAWS Identity and Access Management (AWS IAM)AWS LambdaAlgorithmsAmazon DynamodbAmazon EC2Amazon KinesisAmazon RedshiftAmazon S3Amazon SQSAmazon Simple Notification Service (SNS)Amazon VPCApache SparkC

About

I have more than 3 years of industry experience in designing, implementing, scaling and maintaining software products solving challenging problems. I graduated with M.S. in Computer Science from University of California, Los Angeles in December, 2017. During my higher education, I pursued summer internship in the Pricing Systems - Comp Match team at Amazon, where I developed applications to control influx of price recommendations into manual audit queue by understanding high risk drivers and mining historical data. In the past, I have worked as a Software Engineering Intern at Informatica, Bangalore, India. My primary responsibility was to implement critical features in Microsoft Dynamics CRM Cloud Connector. Before that, I was a Research Scholar at IIT-Delhi, working profusely in the area of Data Warehousing and Data Mining. Both these internships significantly boosted my skills as a team player and individual contributor. Feel free to contact me at +1-310-308-6712 or shikharmalhotra1@gmail.com

Experience

9 yrs 4 mos
Total Experience
3 yrs 1 mo
Average Tenure
8 yrs 6 mos
Current Experience

Amazon

5 roles

Senior Software Engineer

Promoted

Jul 2023Present · 2 yrs 11 mos

  • AWS Audit Manager

Software Development Engineer II

Feb 2020Jun 2023 · 3 yrs 4 mos

  • Part of AWS Insights and Enterprise Tools team
  • Building a new AWS offering for Enterprise customers

Software Development Engineer II

Promoted

Sep 2019Feb 2020 · 5 mos

  • — Part of Alexa AI-Machine Learning Platform team

Software Development Engineer I

Feb 2018Sep 2019 · 1 yr 7 mos

Software Development Engineer Intern

Jun 2017Sep 2017 · 3 mos · Greater Seattle Area

  • Part of Pricing Systems - Comp Match, keeping Amazon Retail prices sharp w.r.t external and internal competitors
  • Developed applications to control influx of price recommendations into manual audit queue by understanding high risk drivers, mining historical data, and balancing demand forecasts, HR costs & revenue impact to define thresholds

University of california, los angeles

Graduate Teaching Assistant

Jan 2017Jun 2017 · 5 mos · Los Angeles, California

  • CS 33 - Introduction to Computer Organization

Informatica

Software Engineering Intern

Jan 2016Jun 2016 · 5 mos · Bengaluru, Karnataka

  • Worked on Informatica Cloud Connectors and Integration services as part of the Cloud Adapters team
  • Gained proficiency in Informatica Cloud and Informatica Connector Toolkit
  • Enhance Microsoft Dynamics CRM Connector's connectivity by implementing critical features of Alternate Key support and Error file generation
  • Worked briefly on SAP Success Factors Connector for implementing the Join feature using Apache Olingo
  • Exposure to Java, SOAP, WSDLs and a number of Project Building & Process Tracking tools

Indian institute of technology, delhi

Research Scholar

Jun 2014Jul 2014 · 1 mo · New Delhi, India

  • Undertook research internship on the broad topic of Data Warehousing, Data Mining and Pattern
  • Recognition under the guidance of Prof. S. K. Gupta
  • Devised a novel method for predicting bus arrival time yielding an accuracy of 86.29%
  • Implemented and applied algorithms of Exponential Smoothing, Fuzzy C-Means Clustering and Fuzzy Probabilistic Clustering using MATLAB
  • Modified Neural Network with Adaptive Learning Rate, taking into consideration Cluster membership level of inputs

Education

UCLA

Master of Science (M.S.) — Computer Science

Jan 2016Jan 2017

Thapar Institute of Engineering & Technology

BE — Computer Science Engineering

Jan 2012Jan 2016

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