Madhav Sankar Krishnakumar — Software Engineer

Hi there, glad to e-meet you! I am a Software Developer with 5+ years of experience in Full-Stack development who loves coding, solving problems and designing software. In the past, I had the honor of attending the Republic Day Parade as the special guest of the Prime Minister of India. Over the last two years, as part of the Experiences and Devices team, I made critical contributions to the compliance solutions developed by Microsoft. Apart from personal projects in Computer Vision and Android App Development, I have research works published in the fields of Distributed Algorithms and Natural Language Processing. I am an avid experimenter and seek opportunities to learn and work on new fields in my spare time. I am currently pursuing my Master's in Computer Science at University of California, Los Angeles furthering my competencies in the field of Software Development, Big Data Systems and on building large scale reliable solutions. My professional skills include: 💡 Coding and Software Design 💡 Problem Solving 💡 Full-Stack Development 💡 Cloud Computing and services (Azure) 💡 Teamwork and Collaboration 💡 Machine Learning/Artificial Intelligence Personally, I'm a staunch proponent of the Growth Mindset and strongly believe that technical skills coupled with perseverance can enable us to solve any complex problem. Visit my E-Home (madhavsankar.github.io) to know more about me! Hope you had fun reading! Wanna say hi? Have an idea we can collaborate on? Have any interesting opportunities for me? Reach me via LinkedIn® or email at madhavsankar@ucla.edu.

Stackforce AI infers this person is a Full-Stack Developer with expertise in SaaS and Accessibility Technology.

Location: Los Angeles, California, United States

Experience: 5 yrs 1 mo

Skills

Full-stack Development
Cloud Computing
Machine Learning

Career Highlights

Led E2E delivery of a legal enforcement solution.
Achieved 99.99% product uptime at Google.
Developed a live video captioning model for accessibility.

Work Experience

Google

Software Engineer (3 yrs 1 mo)

Software Engineer Intern (3 mos)

Microsoft

Software Engineer II (1 mo)

Software Engineer (2 yrs)

Software Engineer Intern (2 mos)

Indian Institute of Technology, Hyderabad

Deep Learning Research Intern (0 mo)

Indian Institute of Technology, Madras

Distributed Algorithms Research Intern (1 mo)

Education

Master of Science - MS at UCLA

Bachelor of Technology - BTech at National Institute of Technology, Tiruchirappalli

Minor at National Institute of Technology, Tiruchirappalli

High School at DAV Senior Secondary School, Mogappair

Madhav Sankar Krishnakumar

Software Engineer

Los Angeles, California, United States5 yrs 1 mo experience

Most Likely To SwitchHighly Stable

Key Highlights

Led E2E delivery of a legal enforcement solution.
Achieved 99.99% product uptime at Google.
Developed a live video captioning model for accessibility.

Stackforce AI infers this person is a Full-Stack Developer with expertise in SaaS and Accessibility Technology.

Contact

madhavsankar@gmail.com LinkedIn

Skills

Core Skills

Full-stack DevelopmentCloud ComputingMachine Learning

Other Skills

Asynchronous programmingMicroservicesAPI designCollaborationQuery analyticsAd Load enhancementAzure Cloud ServicesCompliance managementMicroservice architectureReactJSTypescriptProgressive Web ApplicationsCaching techniquesImage ProcessingDeep Learning

About

Experience

Google

2 roles

Software Engineer

Feb 2023 – Present · 3 yrs 1 mo · Mountain View, California, United States · On-site

As part of the Tangle API team (https://developers.google.com/google-ads/api/docs/start), migrated the entire framework to an asynchronous platform, improving performance and resiliency.
Collaborated with 30+ teams to successfully transition their microservices to the async equivalent, ensuring seamless integration across the platform.
Partnered with the GenAI team to develop a tool that streamlined the migration process, reducing complexity and enhancing efficiency.
Designed and implemented a rate-limiting solution to safeguard the API read path against high-resource-consuming queries.
Achieved and maintained 99.99% product uptime through diligent monitoring and rapid incident response.

Asynchronous programmingMicroservicesAPI designCollaborationFull-Stack DevelopmentCloud Computing

Software Engineer Intern

Jun 2022 – Sep 2022 · 3 mos · Mountain View, California, United States

Enhanced the Ad Load for queries without historical interaction results by extrapolating from their similar queries' data. Increased Ad-metric coverage by 8%.
Developed a Query Intelligence Tool to interactively perform query analytics.

Query analyticsAd Load enhancementFull-Stack Development

Microsoft

3 roles

Software Engineer II

Jul 2021 – Aug 2021 · 1 mo

Architect, design and develop large-scale services to simplify customer compliance management.
Designed an Azure Cloud Services based File Connector to import large items from third-party data sources into Microsoft 365, overcoming the current size restriction of 10MB and opening up opportunities worth $3 billion TAM.
Collaborated with CellTrust partner team as the Microsoft DevRel to onboard the CellTrust SL2 Connectors to the Microsoft Ecosystem.

Azure Cloud ServicesCompliance managementCollaborationCloud Computing

Software Engineer

Jul 2019 – Jul 2021 · 2 yrs

As part of the M365 Security and Compliance team, single-handedly led the E2E delivery of the LENS (Legal Enforcement and National Security) solution within six months. The solution is used by Microsoft CELA for legal enforcement data collection.
Redesigned the admin logs module of the microservice architecture to enable customer aggregation and filtering requirements. Implemented the corresponding UX changes to the Compliance Portal using typescript and ReactJS.
Reduced the Connectors page latency by 96% using asynchronous programming techniques and Azure Table schema changes, thereby improving customer experience.
Prototyped a solution to reduce web service's COGs by 20% with the help of Docker containerization of cloud solutions and Kubernetes orchestration.

Microservice architectureAsynchronous programmingReactJSTypescriptFull-Stack Development

Software Engineer Intern

May 2018 – Jul 2018 · 2 mos · Hyderabad Area, India

Enhance the latencies of the first version of the SharePoint Desktop application.
Provided an enhanced experience to the users by reducing End User-Perceived
Latency(EUPL) on the SharePoint Desktop App using PWA(Progressive Web
Applications) concepts.
Successfully brought down the page load latency by six times and the application boot time by a staggering 42 times with the help of caching techniques and improvements in the Auth flow.
Implemented Web Parity changes to separate the Desktop App from Web View
Hosted App, System Tray and background task features.

Progressive Web ApplicationsCaching techniquesFull-Stack Development

Indian institute of technology, hyderabad

Deep Learning Research Intern

Dec 2017 – Dec 2017 · 0 mo · Hyderabad Area, India

Worked on Image Processing and Deep Learning concepts under the supervision of Dr. Sparsh Mittal, Assistant Professor. We worked on the various Convolutional Neural Network models and on how improved accuracy in image classification have been attained over the years. We also worked on compression techniques to reduce the memory and time overhead in the processing of the image.
I used the knowledge I gained here to create 'ViewPal', a live video captioning model that could aid the visually challenged by giving a live relay of events.

Image ProcessingDeep LearningMachine Learning

Indian institute of technology, madras

Distributed Algorithms Research Intern

May 2017 – Jun 2017 · 1 mo · Chennai

Solved the problem of dispersion of Mobile Robots on a ring in the presence of two types of dynamism: vertex permutation and 1-interval connectivity under the supervision of Prof. John Augustine.
Presented at the International Conference on Distributed Computing and Networking 2018.

Distributed Algorithms