Abhishek Agarwal
Analytics EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Vice President @ Goldman Sachs | Engineering Leader | Technical Lead
I’ve spent the last 13+ years finding better ways to build software and lead people in the high-stakes world of finance. My career has been defined by a transition from writing code to building the teams and platforms that drive multi-million dollar business outcomes. Currently, as a Vice President at Goldman Sachs, I lead a team of 10 engineers. I believe that great engineering isn't just about technical elegance; it’s about empathy for the user and the business. Whether it’s automating 80% of a manual workflow to save $1M a year or mentoring a junior developer as they take on their first lead role, I’m driven by making things work better for everyone involved.
Vit University
Bachelor of Technology (BTech), Information Technology
January 1, 2008 – January 1, 2012
International School
10th, Geology/Earth Science, General
January 1, 1995 – January 1, 2005
Goldman Sachs
Vice President
December 1, 2020 – Present
Goldman Sachs
Associate
January 1, 2018 – December 1, 2020
Goldman Sachs
Analyst
June 1, 2015 – December 1, 2017
Sapient Global Markets
Associate
January 1, 2013 – June 1, 2015
Bangalore
AutoDocs
April 1, 2025 – Present
– Case & Agreement Management Platform (Apr 2025 – Present): Led cross-functional delivery supporting 650+ agreements per month; automated 80% of workflows; reduced client escalations by 75%; delivered ~$1M in annual savings; introduced RAG-based document intelligence; designed secure role-based access controls. • Operational Readiness & Data Quality (Apr 2023 – Mar
Dochub
January 1, 2020 – May 1, 2023
Architected a centralized document repository; integrated AI-driven categorization reducing manual effort by 80%; implemented subscription-based notifications; standardized API contracts for downstream integrations
Exotics Commodity Market
July 1, 2013 – January 1, 2015
Requirements gathering from the people of the Citi Exotics Team •Validating the key requirements from business perspective •Analyzing and prioritizing requirements with the highest priority and coming up with a release plan •Designing the model of the application (including all the Use Case diagrams) •Implementing Front-end, Middleware and Back-end of the project •Analyzing defects that occurred during the testing phase and providing possible solutions for defects Skill/Domain: Java, spring, Hibernate, JSF & PrimeFaces, Hsqldb, Oracle11g Weblogic
Cultural Fit Analysis
The candidate has a long tenure at Goldman Sachs, indicating stability and an ability to thrive in large, structured environments. The project descriptions show a focus on efficiency, automation, and delivering measurable business value, which aligns with a performance-driven culture. However, the target role is 'Analytics Engineer', and while there's strong software engineering experience, direct analytics engineering experience (e.g., data modeling, ETL/ELT pipelines, specific analytics tools) is not explicitly detailed in the provided projects or skills, which might indicate a gap in direct cultural fit for a pure analytics role without further validation.
Soft Skills & Operational Fit
The candidate's project descriptions indicate strong leadership, problem-solving, and impact-driven execution. Phrases like 'Led cross-functional delivery', 'automated 80% of workflows', and 'reduced client escalations by 75%' suggest a proactive and results-oriented approach. The focus on 'Operational Readiness & Data Quality' also points to an understanding of long-term system health and data integrity.