# Aditya S.

> Product Engineer at Fin

Location: New York, New York, United States
Profile: https://flows.cv/adityas

## Work Experience
### Product Engineer @ Fin.com
Jan 2021 – Jan 2023
• Optimised database performance and reduced session-related reads by 90% by configuring and implementing a Redis write-through cache
•  Improved efficiency of 40 user-facing dashboards by refactoring complex SQL queries, achieving significant reductions in query times (over 4 minutes to <45 seconds) and meeting updated SLAs, crucial for retaining high-value customers
•  Demonstrated expertise in company security tasks by conducting thorough research and presenting findings to auditors, resolving a SOC2 audit exception and achieving a flawless SOC2 audit report without any exceptions
•  Resolved misconfigured traceback logging in Datadog, reducing logs by seven-fold while preserving previously lost error context and minimising logging costs
•  Increased developer productivity by streamlining software development processes such as implementing automated code pipeline retries, frequently updating library versions, and adding pre-commit hooks to support engineering requirements
•  Created a robust and efficient Python module to transform custom JSON query objects to efficient PostgreSQL queries, enabling seamless data retrieval and frontend rendering using Highcharts for customizable, real-time data analytics

### Software Engineer @ Jackpot Data Science Group
Jan 2019 – Jan 2021
• Developed a Python-based recommendation engine and accompanying dashboard UI utilising machine learning (scikit-learn), NLP (Natural Language Processing), Dash, and Pandas, enhancing a private equity client's ability to quickly identify the 5 most promising deals
• Accelerated dashboard loads, achieving sub-second latency (from over 2 seconds) using NumPy, pagination, and data table virtualization
• Designed and implemented a multi-stage CI/CD pipeline with GitLab and Heroku and built a Dockerized Flask and PostgreSQL application with 98% PyTest coverage, streamlining the prototyping and development of large-scale projects
• Consolidated and normalised data for 100k+ businesses and brokers across 16 JavaScript-heavy websites into a PostgreSQL database through an ETL pipeline using Python, Selenium, Scrapy and Chrome WebDriver

### Teaching Assistant, Computer Science and Engineering Dept @ NYU Tandon School of Engineering
Jan 2016 – Jan 2017 | Brooklyn, New York, United States
• Conducted individualised instruction with personalised code review to over 30 students in Python fundamentals, resulting in a 90%+ assignment completion rate
• Evaluated feedback for over 60 weekly programming assignments with a focus on code correctness, space efficiency, and runtime optimisation

### Teaching Assistant, Engineering and Technology Forum @ NYU Tandon School of Engineering
Jan 2015 – Jan 2015 | Brooklyn, New York, United States
• Facilitated weekly discussions on innovation, invention, entrepreneurship, lean, and agile technology development for 25+ students
• Assessed and aggregated weekly homeworks and in-class assignments to determine the final semester grade for students


## Education
### Bachelor of Science - BS in Computer Science
New York University


## Contact & Social
- LinkedIn: https://linkedin.com/in/aditya-singh-nyu

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Source: https://flows.cv/adityas
JSON Resume: https://flows.cv/adityas/resume.json
Last updated: 2026-03-20