Aneesh Khunteta profile photo 1 on Tal

Aneesh Khunteta

Software Engineer @Goldman Sachs | Java | Js | SpringBoot | React | fullstack development

Bengaluru

2+ years of work experience

Goldman Sachs
Jun 20251 yr 3 mosPresent

Bengaluru

– Report Model Creation: Automated regulatory report generation by building a standardized reporting model. – Case Initialization Service: Developed a service to initialize cases and trigger processing workflows. – Tech Upliftment: Modernized core services by migrating from Java 8 to Java 21 and upgrading the Spring Framework. – LDAP-Pagination: Implemented Pagination over LDAP for secure data migration between data sources
Whatfix
Jul 20241 yrJun 2025

– Dashboard Redesign: Redesigned and optimized Dashboard for User Actions, improving process speed by 30%. – Service Migration POC: Conducted POC for service migration of User Action management, reducing downtime risks. – API & Bug Fixes: Updated APIs for P2P packaging and resolved major bugs, boosting data quality. – Automation: Developed and optimized scripts, improving testing reliability and reducing runtime by 25%. – CI/CD Pipelines: Configured pipelines, cutting deployment time.
Whatfix
Jan 20246 mosJun 2024

Bengaluru

– Customer Issue Analysis: Analyzed past customer issues, reducing recurrence. – Build & Testing Automation: Automated sandbox build, deployment, and testing, cutting time by 60%. – Testing Optimization: Refactored legacy scripts, reducing runtime. – UI Enhancements: Improved User Actions listing, increasing page efficiency and reducing load time by 15%. – Client Issue Resolution: Collaborated on client issues, improving response time.

Aneesh’s AI Stack

antigravity
antigravity
opencode
opencode
claudecode
claudecode

Education

The LNM Institute of Information Technology

Bachelor of Technology - BTech, Computer Science

The LNM Institute of Information Technology

20204 yrs2024

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Headline

Software Engineer @Goldman Sachs | Java | Js | SpringBoot | React | fullstack development

About

I'm a passionate Software Engineer with 2+ years of experience building scalable web applications and backend systems. I specialize in writing clean, maintainable code and solving complex problems with efficiency. My ability to collaborate effectively with teams and troubleshoot legacy codebases makes me a valuable contributor to any project. Technology has always fascinated me, and I believe the best way to master new tools is by applying them in real-world scenarios. As a continuous learner, I actively explore algorithms, data structures, and their practical applications to deliver robust solutions. I’m particularly drawn to software architectures, as they challenge me to evaluate trade-offs, anticipate future needs, and design sustainable approaches that balance performance and scalability.

Location

Bengaluru

AI stack

antigravity

opencode

claudecode

Work experience

Analyst (Software Engineer) at Goldman Sachs, Jun 2025 - Present · 1 yr 3 mos, Bengaluru, – Report Model Creation: Automated regulatory report generation by building a standardized reporting model. – Case Initialization Service: Developed a service to initialize cases and trigger processing workflows. – Tech Upliftment: Modernized core services by migrating from Java 8 to Java 21 and upgrading the Spring Framework. – LDAP-Pagination: Implemented Pagination over LDAP for secure data migration between data sources

Software Engineer at Whatfix, Jul 2024 - Jun 2025 · 1 yr, – Dashboard Redesign: Redesigned and optimized Dashboard for User Actions, improving process speed by 30%. – Service Migration POC: Conducted POC for service migration of User Action management, reducing downtime risks. – API & Bug Fixes: Updated APIs for P2P packaging and resolved major bugs, boosting data quality. – Automation: Developed and optimized scripts, improving testing reliability and reducing runtime by 25%. – CI/CD Pipelines: Configured pipelines, cutting deployment time.

Full Stack Engineer Intern at Whatfix, Jan 2024 - Jun 2024 · 6 mos, Bengaluru, – Customer Issue Analysis: Analyzed past customer issues, reducing recurrence. – Build & Testing Automation: Automated sandbox build, deployment, and testing, cutting time by 60%. – Testing Optimization: Refactored legacy scripts, reducing runtime. – UI Enhancements: Improved User Actions listing, increasing page efficiency and reducing load time by 15%. – Client Issue Resolution: Collaborated on client issues, improving response time.

Education

Bachelor of Technology - BTech, Computer Science, The LNM Institute of Information Technology

Public links

github: https://github.com/ANEESH-2003