
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Engineer | AI & Cloud Platforms | Based in Dubai
Software Engineer with 3+ years at Goldman Sachs building cloud-native platforms, distributed systems, and AI-powered products at enterprise scale. Proven track record of shipping LLM-based assistants using retrieval-augmented generation, leading cloud migrations that reduced compute costs by 35%, and improving query performance 6x. Combining deep backend engineering expertise with hands-on experience delivering AI as a production product, not a proof of concept. Open to software engineering, AI/ML, and platform engineering roles in Dubai and the wider GCC.
PSG College of Technology
Master of Science - MS, Data Science
January 1, 2018 – January 1, 2023
Goldman Sachs
Associate
January 1, 2025 – April 1, 2026
On-site
Goldman Sachs
Analyst
July 1, 2023 – December 1, 2024
On-site
Goldman Sachs
Intern
January 1, 2023 – June 1, 2023
On-site
Goldman Sachs
Summer Analyst
May 1, 2021 – November 1, 2021
Bengaluru, Karnataka, India
Google Cloud Fundamentals: Core Infrastructure
Google Cloud
June 23, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 23, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in finance through their experience at Goldman Sachs. However, the listed skills (Docker, Microservices) and certifications (Google Cloud, Neural Networks) do not directly align with a typical Data Analyst role, which usually emphasizes SQL, Python for data analysis, visualization tools, and statistical modeling. The lack of projects also limits the assessment of practical application in data analysis. This suggests a potential mismatch with the specific technical requirements for a Data Analyst role, leading to a lower cultural fit score.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.