Aniruthan R

Software Engineer

New York, New York, United States3 yrs 10 mos experience

Highly Stable

Key Highlights

4+ years of experience at Apple in automation frameworks.
Expertise in quantitative research and trading.
Strong foundations in algorithms and machine learning.

Stackforce AI infers this person is a Data Engineer with a focus on Fintech and quantitative analysis.

Contact

Skills

Core Skills

Software EngineeringMachine LearningData Engineering

Other Skills

ANSYSAbaqusAlgorithm AnalysisAlgorithm DesignAlgorithmsApache KafkaApache Spark StreamingBig DataC++Data ScienceData StructuresDeep LearningDistributed SystemsFlaskJava

About

I’m a Computer Science graduate student at NYU Tandon with 4+ years at Apple, where I built robust automation frameworks and system-level tooling. I’m now primarily focused on quantitative research and trading, combining strong foundations in probability, statistics, and algorithms with hands-on experience in data engineering and machine learning. I work on end-to-end financial modeling pipelines, including factor models, Bayesian inference, and large-scale backtesting. With a background in competitive programming and systems engineering, I enjoy turning mathematical ideas into performant, real-world trading and research systems. Actively seeking quant research, trading, and data-driven engineering opportunities.

Experience

Apple

Software Engineer

Jul 2021 – May 2025 · 3 yrs 10 mos · India · On-site

Swift (Programming Language)JavaSoftware Engineering

Hokkaido university

Research Internship

Jun 2021 – Jun 2021 · 0 mo · Sapporo, Hokkaido, Japan

Actively worked on multimodal networks to detect pedestrians in snowy environments; and to classify weed among crops.

Machine LearningPandas (Software)

Ust

Project Internship

Jun 2020 – Aug 2020 · 2 mos · Trivandrum, Kerala, India

Developed an efficient pipeline, with high fault tolerance, high scalability, and low latency, which applies various ML models on multiple real-time streams and displays the processed stream in a Web App. Adapted the pipeline with a pre-trained human detection YOLO ML Algorithm, for detecting Social Distancing Violations.

Apache KafkaApache Spark StreamingData Engineering