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Chirag Gomber

Software Engineer

Bengaluru, Karnataka, India4 yrs experience
AI EnabledHighly Stable

Key Highlights

  • Engineered a billing platform increasing transaction speeds by 80%.
  • Developed an Operational Risk platform tracking 200+ risk events monthly.
  • Integrated real-time video feeds achieving under 200 milliseconds inference.
Stackforce AI infers this person is a Fintech professional with expertise in software engineering and risk management.

Contact

Skills

Core Skills

JavaMicro-service ArchitectureMicroservices ArchitectureBilling PlatformImage Recognition SystemsAws KinesisFuzzy Logic Algorithms

Other Skills

Operational Risk platformDockerAWSSpring BootReactJSGitLab CICDKubernetesFee calculation systemVideo integrationSmart city infrastructureSoftware DevelopmentWeb ArchitectureCloudOpen SourceDeep Learning

About

In my journey through the world of technology, I’ve had the privilege of working with some fantastic teams at Goldman Sachs. My time there has equipped me with invaluable insights into designing robust web architectures while developing fintech solutions that really make a difference. One of my proudest moments was creating an Operational Risk platform that now tracks over 200 unique risk events every month, significantly enhancing our operational efficiency. Before my current role as an Associate in the Risk Division, I spent two years in the Asset and Wealth Management Division where I engineered an advanced billing platform tailored for Ultra High Net Worth clients. This project not only increased transaction processing speeds by 80% but also positively impacted 250K accounts. It was rewarding to see how technology can streamline financial services for those who need it most. My passion for technology extends beyond finance; I've delved into robotics and computer vision during internships that shaped my understanding of real-time data processing. For instance, during my time at Cognicept Systems in Singapore, I integrated video feeds that achieved under 200 milliseconds of inference time—a thrilling challenge that pushed my skills to new heights. I’m also an advocate for open source contributions because I believe in the power of community-driven innovation. Working on various projects has allowed me to experiment with machine learning algorithms and collaborate with like-minded individuals who share my enthusiasm for technology's potential. I love connecting with others who are just as passionate about leveraging technology to solve real-world problems. Feel free to reach out if you're interested in discussing innovative tech solutions or if you’d like to collaborate on open-source projects! email: chirag.codes@gmail.com Skills: - Software Development - Web Architecture - Machine Learning - Cloud - Open Source

Experience

4 yrs
Total Experience
3 yrs 5 mos
Average Tenure
7 mos
Current Experience

Google

Software Engineer III

Nov 2025Present · 7 mos · Hyderabad, Telangana, India · Hybrid

Goldman sachs

2 roles

Associate (Risk Division)

Promoted

May 2024Nov 2025 · 1 yr 6 mos · Bengaluru, Karnataka, India · On-site

  • Designed a robust Operational Risk platform tailored for the GS Risk division to optimize capital allocations enabled precise tracking of over 200+ unique risk events monthly with increased operational efficiency
  • Migrated a legacy monolithic Java application to micro-service architecture, containerized with Docker.
  • The application deployed on AWS using Lambda functions. The operational cost reduced by 65%
  • Executed a canary rollout from the legacy application to the new rewritten application with uptime at over 99.5%
  • Designed the new architecture using Spring Boot Java and ReactJS (Typescript); hybrid deployment with lambda services in AWS and on-prem Kubernetes. Setup auto deployment release with GitLab CICD
Operational Risk platformJavaMicro-service architectureDockerAWSSpring Boot+2

Analyst (Asset and Wealth Management Division)

Jun 2022May 2024 · 1 yr 11 mos · Bengaluru, Karnataka, India · On-site

  • Engineered an advanced billing platform tailored for Ultra High Net Worth individuals in Private Wealth Management increased transaction processing speed by 80%, impacting 250K accounts
  • Spearheaded the transition process towards a microservices architecture using Kubernetes (facilitating both vertical and horizontal scaling), resulting in smoother deployments—ensuring continuous availability and supported 20% faster rollbacks during critical updates without user disruptions
  • Enhanced a complex, rule-based fee calculation system organized as a framework, integrating data sourced from and distributed to 5+ global teams within the firm
Billing platformMicroservices architectureKubernetesFee calculation system

Cognicept systems

Robotics Intern

Jan 2022Apr 2022 · 3 mos · Singapore, Singapore

  • Integrated video and data feeds from Kabam’s robot by leveraging AWS Kinesis for real-time (under 200 milliseconds) inference in the cloud
  • Led development of high-performance image recognition systems achieving over 95% accuracy when analyzing complex datasets; reduced manual review time from hours to minutes with fully automated workflows
Video integrationAWS KinesisImage recognition systems

Mitacs

Research Intern

Aug 2021Nov 2021 · 3 mos · Sherbrooke, Quebec, Canada

  • Programmed algorithms based on fuzzy logic reasoning principles resulting in optimized decision-making frameworks capable of analyzing over 10,000+ dataset points from diverse sensors
  • Implemented systems to enhance data processing efficiency, used in smart city infrastructure
Fuzzy logic algorithmsSmart city infrastructure

Goldman sachs

Summer Analyst

Jun 2021Jul 2021 · 1 mo · Bengaluru, Karnataka, India

  • Upgraded a production intuitive, reliable and responsive web application where admin can interact with financial services like fee billing management using technologies including Spring Boot Java Restful APIs, ReactJS, Redux state management and Mongo as the database

National university of singapore

Summer Research Intern

Jun 2019Jul 2019 · 1 mo · Singapore

  • Devised algorithms for interpreting American Sign Language through machine-learning models; streamlined processing time from input to output by reducing latency down to just 200 milliseconds per recognized gesture on average

Srm centre for applied research in education

Internship

May 2019Jun 2019 · 1 mo · Chennai Area, India

  • Automation Scripting and Testing in C Programming in Coding Practices in eLab (An Auto Evaluation Tool)

Education

SRM IST Chennai

Bachelor of Technology - BTech — Computer Science

Jan 2018Jan 2022

St. Anne's School Jodhpur

High School Diploma — Science

May 2016Jun 2018

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