Indresh Bharadwaj profile photo 1 on Tal

Indresh Bharadwaj

Associate (SDE 2) at Goldman Sachs

Kanpur Nagar

3+ years of work experience

Goldman Sachs
Dec 20251 yrPresent

Bengaluru, Karnataka, India

1.) Integrated AI coding assistants (GitHub Copilot, Devin, Claude, Gemini) into day-to-day development, authoring reusable skills - step-by-step procedural playbooks - to enable the tools to autonomously execute repetitive engineering tasks by increasing efficiency by 5%. 2.) Cut runtime and resource usage by 95% by migrating multiple legacy surveillances to a clean architecture using Java, MapReduce, Spark, and PySpark - independently owning design, Scalability, development, and testing. 3.) Improved surveillance precision and recall by 5% by implementing BTL (Below-the-Line) alerting and running large-scale sensitivity analysis to identify the optimal threshold minimizing false positives while retaining high-quality alerts. 4.) Enabled processing of datasets too large for a single server by designing a configurable partitioning parameter to split and distribute data across multiple servers. 5.) Built an alert comparator to automatically distinguish differences between two surveillance alerts, and an automated dependency upgrade and resolution tool
Goldman Sachs
Jul 20232 yrs 6 mosDec 2025

1.) Reduced false positives by 10% and increased the share of high-quality alerts through targeted enhancements to existing surveillance logic. 2.) Cut alert closure time by 40% by redesigning alert screens for clearer, more comprehensive data visibility. 3.) Raised unit test coverage by 60% by writing extensive JUnit test suites and fixing bugs across a large pool of surveillances, improving correctness and maintainability.
Goldman Sachs
May 20223 mosJul 2022

Bengaluru, Karnataka, India

1.)Improved site navigation efficiency by 90% by building a search bar from scratch using Angular for an existing website. 2.) Built a Kibana analytics dashboard for search, surfacing user behavior and search patterns to inform future UX improvements.
GitHub
@IndreshBharadwaj-sudo
Codeforces
@indresh

Indresh’s AI Stack

claude code
claude code
claude
claude
github copilot
github copilot
langchain
langchain
langgraph
langgraph
mcp
mcp

Education

National Institute of Technology warangal

Bachelor of Technology - BTech, Chemical Engineering

National Institute of Technology warangal

20194 yrs2023
National Institute of Technology warangal

Bachelor of Technology - BTech, Chemical Engineering

National Institute of Technology warangal

20194 yrs2023

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Headline

Associate (SDE 2) at Goldman Sachs

About

Passionate developer at Goldman Sachs, specializing in building scalable, high-performance financial systems. I design and optimize backend architectures, develop robust APIs, and process large volumes of trading data to support regulatory compliance and risk management. With a strong focus on performance, security, and efficiency, I work on enhancing surveillance systems and integrating innovative solutions into legacy infrastructures. Constantly driven to improve system scalability and reliability, I thrive in dynamic environments that challenge me to learn and grow.

Location

Kanpur Nagar

AI stack

claude code

claude

github copilot

langchain

langgraph

mcp

Work experience

Associate at Goldman Sachs, Dec 2025 - Present · 1 yr, Bengaluru, Karnataka, India, 1.) Integrated AI coding assistants (GitHub Copilot, Devin, Claude, Gemini) into day-to-day development, authoring reusable skills - step-by-step procedural playbooks - to enable the tools to autonomously execute repetitive engineering tasks by increasing efficiency by 5%. 2.) Cut runtime and resource usage by 95% by migrating multiple legacy surveillances to a clean architecture using Java, MapReduce, Spark, and PySpark - independently owning design, Scalability, development, and testing. 3.) Improved surveillance precision and recall by 5% by implementing BTL (Below-the-Line) alerting and running large-scale sensitivity analysis to identify the optimal threshold minimizing false positives while retaining high-quality alerts. 4.) Enabled processing of datasets too large for a single server by designing a configurable partitioning parameter to split and distribute data across multiple servers. 5.) Built an alert comparator to automatically distinguish differences between two surveillance alerts, and an automated dependency upgrade and resolution tool

Analyst at Goldman Sachs, Jul 2023 - Dec 2025 · 2 yrs 6 mos, 1.) Reduced false positives by 10% and increased the share of high-quality alerts through targeted enhancements to existing surveillance logic. 2.) Cut alert closure time by 40% by redesigning alert screens for clearer, more comprehensive data visibility. 3.) Raised unit test coverage by 60% by writing extensive JUnit test suites and fixing bugs across a large pool of surveillances, improving correctness and maintainability.

Summer Analyst at Goldman Sachs, May 2022 - Jul 2022 · 3 mos, Bengaluru, Karnataka, India, 1.)Improved site navigation efficiency by 90% by building a search bar from scratch using Angular for an existing website. 2.) Built a Kibana analytics dashboard for search, surfacing user behavior and search patterns to inform future UX improvements.

Education

Bachelor of Technology - BTech, Chemical Engineering, National Institute of Technology warangal

Bachelor of Technology - BTech, Chemical Engineering, National Institute of Technology warangal

Public links

github: https://github.com/IndreshBharadwaj-sudo

codeforces: https://codeforces.com/profile/indresh