Mudit Gokhale

Software Engineer

Bengaluru, Karnataka, India4 yrs 3 mos experience

Key Highlights

Expert in building scalable ML tooling at Google.
Led development of robust payment APIs at Goldman Sachs.
Passionate about solving complex engineering challenges.

Stackforce AI infers this person is a Fintech and SaaS Software Engineer with expertise in API development and machine learning.

Contact

Skills

Core Skills

Machine LearningSoftware EngineeringFintech

Other Skills

API developmentAngularApache KafkaC++Cascading Style Sheets (CSS)Database Management System (DBMS)HTMLJavaML toolingMongoDBPostgreSQLPython (Programming Language)REST APIsRESTful APIsSDK development

About

As a Software Engineer with 3 years of experience, I have had the opportunity to work across diverse domains — from payments infrastructure to machine learning efficiency. Currently at Google, I focus on building ML tooling that enhances training workflows and system performance. I've contributed to projects like XProf and Maxscale, delivering impactful solutions for profiling and optimizing large-scale ML training jobs. Before Google, I was part of Goldman Sachs' Transaction Banking division, where I worked on the External API team. There, I developed deep expertise in payments systems, designing APIs that are foundational to secure and scalable financial transactions. I am passionate about solving complex engineering problems, improving system efficiency, and building products that scale. I’m always looking for ways to bridge technical excellence with real-world impact.

Experience

4 yrs 3 mos

Total Experience

2 yrs 6 mos

Average Tenure

1 yr 9 mos

Current Experience

Google

Software Engineer 2

Aug 2024 – Present · 1 yr 9 mos · Bengaluru, Karnataka, India · On-site

XProf :
Contributed to the release of a SDK made available to GCP customers, featuring a suite of profiling tools designed to help them analyze and optimize their training jobs.
The cloud SDK received positive feedback from users, with ongoing enhancements and new features developed in response to customer needs.
The profiling tools were designed to support users operating on both TPUs and GPUs.
Maxscale :
Developed a tool for the Gemini3 team that helps them determine the maximum capacity network achievable while staying within bandwidth limitations.
This tool considers the availability of pods and clusters to optimize network utilization. Additionally, I created a dashboard to simplify and visualize this complex analysis, making it easier for the team to understand and utilize the results.
Significantly reduced manual effort and delivered a valuable diagnostic tool for efficient issue investigation and resolution.
GQM Aux Automation :
Developed a tool/library for GQM AUX that automates the allocation of resources (CPUs, Disk, etc) when new cells (data centers) are added.
This streamlines the process of assigning necessary resources, eliminating manual effort and potential errors. This helped save many manual hours of PARMs (Resource Managers)

ML toolingprofiling toolsnetwork optimizationresource allocationMachine LearningSoftware Engineering

Goldman sachs

2 roles

Software Developer

Jul 2022 – Aug 2024 · 2 yrs 1 mo

Retry Orchestrator :
Designed a retry framework for failed payments due to technical errors at our end.
It helped in significantly enhancing the overall client experience and reduced the loss of business revenue.
V2 Payments API :
Spearheaded the development of Payments V2 API, a substantial leap forward from our
previous iteration.
This versatile solution not only marked a significant improvement but also showcased adaptability, ready to seamlessly accommodate any rail from any country in the future.
The V2 version was significantly more robust and efficient compared to its earlier iteration.
This payment API facilitated the movement of transactions totaling billions of dollars in volume daily for our clients.
Worked in close partnership with product managers and interfaced directly with clients to deliver a superior client experience.
CUI Approval Workflow :
Wrote the framework where the client has the option of approving API initiated payments through user interface provided to them.
Datadog Monitoring and anomaly detection monitors :
Worked with Datadog to introduce monitoring in our services.
Designed and implemented client-specific anomaly detection monitors to proactively identify and address issues impacting clients.
The anomaly detection monitors generated significant cost savings by allowing for proactive client engagement, identifying potential issues early and ensuring a smooth and uninterrupted client experience.
Regression Test Suite
Designed and implemented a robust regression test suite for our services to ensure the continued stability and reliability of the software.
This provided a sense of surety before release of our new features.

API developmentmonitoringanomaly detectionSoftware EngineeringFintech

Seasonal Analyst

Jan 2022 – Jun 2022 · 5 mos

Statements via API :
Designed and implemented a comprehensive set of RESTful APIs that enabled clients to securely fetch statements and generate reports through external endpoints.
These APIs provided a reliable and scalable solution, ensuring seamless integration with client systems for easy access to critical financial data.

RESTful APIsreport generationSoftware Engineering