Ayush Rungta

Software Engineer

Bengaluru, Karnataka, India3 yrs 6 mos experience

Most Likely To Switch

Key Highlights

Reduced computational costs by 95% in ML pipelines.
Scaled backend systems for 700K+ electric vehicle users.
Achieved 1st place in internal company-wide competition.

Stackforce AI infers this person is a Backend Engineer specializing in scalable solutions for high-stakes environments.

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Skills

Core Skills

Backend DevelopmentMicroservicesJava DevelopmentData ProgrammingSoftware DevelopmentWeb Development

Other Skills

AWSAgile MethodologiesAmazon Web Services (AWS)Back-End Web DevelopmentCSSCascading Style Sheets (CSS)CommunicationCore JavaData StructuresDatabasesDockerEnterprise Service Bus (ESB) ArchitectureFlaskGo (Programming Language)Graph Databases

About

Ayush is a backend engineer specializing in Golang, distributed systems, microservices, and AI/ML integrations. He has consistently delivered scalable, low-latency solutions that drive innovation and enhance performance in high-stakes environments. At Mercedes-Benz R&D India, Ayush developed and scaled backend systems serving over 700K electric vehicle users. He developed next-generation navigation solutions and optimized machine learning pipelines—reducing computational costs by 95%. During his tenure at Amadeus, he successfully migrated API services to a microservice architecture, significantly boosting throughput and reducing latency, while generating substantial cost savings. Additionally, his work as a Data Engineer at Novo Nordisk and as a Engineer Intern at Grant Thornton further highlights his expertise in software development. With a proven track record of tackling complex challenges in fast-paced environments, Ayush is recognized for his technical acumen, problem-solving skills, and commitment to delivering impactful, real-time AI and backend solutions.

Experience

3 yrs 6 mos

Total Experience

1 yr 2 mos

Average Tenure

2 yrs 10 mos

Current Experience

Mercedes-benz research and development india

Software Engineer

Aug 2023 – Present · 2 yrs 10 mos · Bengaluru, Karnataka, India · On-site

Contributing to the Navigation team, using Golang to enhance navigation solutions for 700K+ electric and hybrid vehicles

Go (Programming Language)RedisInfrastructure as code (IaC)Enterprise Service Bus (ESB) ArchitectureGraph DatabasesPostgreSQL+2

Amadeus

Software Developer Engineer Intern

Mar 2023 – Jun 2023 · 3 mos · Bengaluru, Karnataka, India · Hybrid

Successfully migrated 4 API services from Static Advertisement Middleware (SAM) for global ad display on tickets from a monolith to a microservice architecture utilizing Java, SpringBoot, Quarkus, Kubernates, Docker , MongoDB and OpenShift for development and end-to-end cloud deployment
● Achieved a significant 12% increase in throughput and an impressive average decrease in latency of 15% in the end product
● Achieved 1st place in internal company-wide competition

Scalable Web ApplicationsTroubleshootingRemote Procedure Call (RPC)DatabasesProgramming LanguagesMultithreading+11

Novo nordisk

Associate Clinical Data Programmer

Jul 2022 – Dec 2022 · 5 mos · Bengaluru, Karnataka, India · Hybrid

Developed a feature for an internal tool to generate ODM (Object Data Model) directly for any trail-specific form, resulting in a
time-saving of over 6 hours per trial form, with an average of 500+ trial forms, saving 3000+ hours per year
● Created a tool called CSML Compliance Checker using Python, OpenXML, HTML, CSS, and JavaScript, automating the manual task of
checking for 1000+ different errors/anomalies on TSP (Trail Specific Forms)
● This automation saved over 10,000+ hours and accelerated the process by an additional 2 weeks for each trial by reducing errors
● Collaborated with 3 different stakeholders to gather project requirements, scope them, and prioritize tasks

LinuxScalable Web ApplicationsTroubleshootingSoftware DevelopmentRemote Procedure Call (RPC)Databases+16

Grant thornton bharat llp

Software Engineer Intern

Dec 2021 – Jan 2022 · 1 mo · Bangalore Urban, Karnataka, India

Engineered a web application for the internal team at KSDC, Government of Karnataka, facilitating easy mapping of vocational training
and monitoring to underprivileged individuals over 50L+ using Python, Flask ,and AWS
● Contributed to the digital transformation efforts of the Government of Karnataka, enabling upliftment of underprivileged community
● Successfully handled and managed a large user database, consisting of 20+ lakhs of user data, ensuring data integrity and security
● Significantly increased the efficiency of mapping people by over 70% through the web application, streamlining the process and
improving productivity

TroubleshootingSoftware DevelopmentDatabasesProgramming LanguagesAmazon Web Services (AWS)RDBMS+12