Vartika Sharma

Senior Software Engineer

San Francisco, California, United States10 yrs 6 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Over 10 years of experience in backend engineering.
Expertise in building scalable data processing platforms.
Strong background in machine learning and data science.

Stackforce AI infers this person is a Backend Engineer with expertise in Cloud Computing and Data Processing.

Contact

vartikavt@gmail.com LinkedIn

Skills

Core Skills

Cloud InfrastructureData ProcessingSecurity ManagementData ManagementBig Data EngineeringMachine LearningImage ProcessingCloud Computing

Other Skills

AirflowAlgorithmsAmazon Web Services (AWS)AngularJSApache SparkArtificial IntelligenceAutomationBigQueryCC++C++ LanguageCSSCUDACascading Style Sheets (CSS)Cassandra

About

Software Engineer with 10+ years of industrial experience in backend engineering and data science. My research interest includes Data Mining, Machine Learning, Computer Vision, Data Science, and Deep Learning.

Experience

Walmart global tech

2 roles

Senior Software Engineer | Ads Infra & Platform

Promoted

Oct 2023 – Present · 2 yrs 5 mos · San Francisco Bay Area

I’m a systems and infrastructure engineer focused on building scalable platforms that enable cost-aware, reliable data processing across orgs. I have worked on critical infra used across 4 business pillars—including platforms that manage ~$112M/year in cloud spend and thousands of production jobs.
Highlights:
Dataproc Infra API Upgrade: Delivered a 9-hour migration that moved 96 teams from self-managed to managed compute—saving ~9 people-years of manual work and boosting managed Dataproc usage by 34% overnight.
Budget & Performance Tracker: Designed and delivered Walmart’s source of truth for financial, reliability, and incident metrics. Automated CPD (cost-per-dollar) tracking, unblocked SVP-level reporting, and eliminated manual budget spreadsheets.
Secrets Rotation Platform: Built secure key rotation flows in Go with Slack-based alerts, audit log integration, and policy enforcement—reducing security gaps and alert fatigue across 1000s of service accounts.
GCS Storage Scanner (GeSS): Created a BigQuery-powered tool that maps object access and sensitivity (e.g., PII, prod-to-nonprod violations) to guide lifecycle and compliance decisions.
SparkTune: Architected and led an ML-based tuning system for Spark workloads—improving job reliability and cutting resource waste across teams.
Tech Stack: Go, Python, Scala, SQL, BigQuery, Airflow, Druid, GCP (IAM, Dataproc, GCS), Looker, Slack API
Strengths: Platform ownership, high-leverage automation, cost-performance design, cross-team execution, pragmatic mentorship, systems thinking at scale.

GoPythonScalaSQLBigQueryAirflow+6

Software Engineer | AdTech

Jul 2021 – Oct 2023 · 2 yrs 3 mos · San Francisco Bay Area

Contribute to the design and implementation of Walmart Ads big data pipeline using Scala, Hive, Spark, Airflow, Druid, and distributed systems.
Work on improving Sales Lift Automation by implementing demographic features and binning app using k-means clustering.
Perform day-to-day duties and solved and debugged escalations pertaining to software products.

ScalaHiveSparkAirflowDruidBig Data Engineering

Microchip technology inc.

Senior Software Engineer

Mar 2019 – Jul 2021 · 2 yrs 4 mos · San Francisco Bay Area

Machine learning classifier model design for sentiment analysis and recommendation system for financial forecasting of future demand, revenues and expenses using Python.
Data extraction from disparate data sources like PLSQL, Oracle, SAP, SQL server and design business API using Flask.
Design and development of physical inventory count web portal for the financial tracking of inventory data pipeline using C#, SQL server, and ELK stack.

PythonMachine LearningFlaskSQL Server

Imaging endpoints

Software Engineer Intern

May 2018 – Feb 2019 · 9 mos · Scottsdale, Arizona

Developing Software to analyze radiology image texture for detecting cancerous tumor regions and enable rendering of volumetric 3D medical image data. Bootstrap Library: JavaScript, HTML5 and CSS.
Incorporation of Deep Learning and Artificial Intelligence algorithms in the software for predicting the cancer recurrence risk rate. (Tensorflow, Keras, OpenCV, Scipy)
Development of Robust Image Processing algorithms to automate Complex tasks.
Assist in the conduct of Clinical Research studies including but not limited to industry-sponsored and grant-funded research, as a part of the R&D Department.
Perform a variety of duties involved in the collection, compilation, analysis, and documentation of imaging research data.

JavaScriptHTML5CSSTensorFlowKerasOpenCV+1

Ribbon communications

Software Engineer

May 2016 – Aug 2017 · 1 yr 3 mos · Bengaluru Area, India

Implementation of Data Analytics in Cloud for Sonus Products.
Worked on the implementation of a new product called the Sonus data warehouse. This product is housed on the cloud computing platform openstack and comprised of the following components: Cassandra database, Elastic search for handling text queries/searches and log stash node for receiving the bulk data from the session border controller agent. All the Troubleshooting, monitoring stats viewing was viewed in a GUI. The Sonus orchestrator did dynamic scaling of the nodes based on the data collected from the data warehouse.
The data analytics was used by Sonus to provide value added service to the customers.
Hands-on knowledge in the installation of openstack versions, various modules in openstack and housing different products in openstack.
Training on Networking (VoIP, RTP, TCP IP, OSI), SIPp, Sonus Products (EMS, GSX, PSX and SBC), Cloud Network Computing using OpenStack

Data AnalyticsOpenStackCassandraElastic SearchCloud Computing

Okinawa institute of science and technology graduate university (oist)

Cognitive Neuro Robotics Lab - Research Intern

Jan 2016 – May 2016 · 4 mos · Okinawa, Japan

• Continuous Time Recurrent Neural Networks (CTRNN) and Multiple Timescale RNN based autonomous unsupervised learning of Limit Cycle Movement for Torobo Arm Robot.

Neural Networks

University of malaya

Research Assistant

Jun 2015 – Nov 2015 · 5 mos · Kuala Lumpur, Malaysia

Video Saliency Detection Using Partial Differential Equation (OpenCV)
Learn an Adaptive Partial Differential Equation model using top-down [Color Prior, Center Prior and Backhround Prior] and bottom-up [Saliency Seeds and Guidance Map] approach for visual saliency detection.
Use of DCT method to get motion vectors for Motion Priors for Video Saliency Detection.

OpenCV

The lnm institute of information technology

2 roles

Teaching Assistant

Jan 2015 – May 2015 · 4 mos · Jaipur Area, India

Teaching Assistant in Physics Lab for the Undergraduate First and Second year Students.

Teaching Assistant

Jul 2014 – Nov 2014 · 4 mos · Jaipur Area, India

Teaching Assistant in IT-Workshop Lab for the Undergraduate Second year students.

CUDAImage Processing

Indian institute of technology, madras

Internship

Nov 2014 – Jan 2015 · 2 mos · Chennai Area, India

Project Title: GPU Computing in Image compression using CUDA
Sponsor: Department of Mathematics, IIT Madras
Implementation of 'PDE based image compression' methods using GPU Computing to increase the efficiency of the code.

Indian institute of technology, kharagpur

Research & Development Internship

May 2014 – Jul 2014 · 2 mos · Kharagpur Area, India

Project Title : Python Based Image Analysis of SEM Images using Monte Carlo Method
Sponsor : ISIRD SRIC IIT Kharagpur
My work in the project was to deal with the image analysis of Scanning Electron Microscopy (SEM) Images. We implemented the algorithm given in the paper “Generalizing Swendsen-Wang for Image Analysis”, which uses the Markov Chain Monte Carlo (MCMC) method by generalizing the Swendsen-Wang Method, for designing the algorithm to work on multi-grid and multi-level graphs, and present applications to two typical problems in Image Processing and Computer Vision, namely Image Segmentation and Motion Analysis.