Yash Singhania — Software Engineer

Hi, I'm Yash Singhania a dedicated Masters Student in Computer Science at Stony Brook University with a passion for solving complex problems through technology. Throughout my academic journey and professional experience, I've demonstrated a strong ability to tackle a wide range of technical challenges, from software development and cloud governance to building innovative solutions that drive business growth. As a Software Engineer, I am well-equipped to: - Participate in all aspects of development activities, from design to coding, ensuring high-quality and efficient code that solves real-world problems. - Collaborate effectively within fast-paced development teams, offering clear, positive, and constructive communication that fosters team growth. - Architect scalable systems and write industry-standard code, enabling elegant solutions to complex business problems. - Develop intuitive and engaging UIs that provide valuable business insights to our partners. I am passionate about the transformative potential of technology. The ability to build elegant, efficient, and scalable solutions that address real-world challenges is what drives me. My work is not just about code; it's about making a meaningful impact on businesses and individuals. I find joy in the creative problem-solving aspect of software engineering, and I thrive in the dynamic, collaborative environment where innovation happens. - Languages: Python, Golang, Java, , C/C++, JavaScript, TypeScript - AWS : S3, EC2, Redshift, MWAA, Athena, Iceberg, EMR, Lambda, Glue - Database Management: SQL Server, MySQL, MongoDB, PostgreSQL, Vertica DB - Front-End Development: HTML, CSS, React, Vue.js, jQuery - Cloud Computing: AWS, GCP, Azure - Version Control: Git - Development: Coding, Testing, Debugging, API Documentation - Scalable System Design and Architecture - Collaboration and Communication - Agile and DevOps Practices I'm excited to contribute my skills, passion, and commitment to your team as a Full Time Software Engineer. Let's connect and explore how I can help solve the unique challenges your organization faces. Feel free to reach out to me via LinkedIn or at yashanupkumar.singhania@stonybrook.edu. I look forward to the opportunity of working together to drive innovation and create lasting impact.

Stackforce AI infers this person is a Software Engineer with expertise in Machine Learning and Data Engineering within the Healthcare and SaaS sectors.

Location: San Francisco, California, United States

Experience: 6 yrs 1 mo

Skills

Data Engineering
Server Architecture
Machine Learning
Data Science

Career Highlights

Proficient in building scalable systems and architectures.
Experienced in data engineering and machine learning applications.
Strong collaborative skills in fast-paced development environments.

Work Experience

JPMorganChase

Software Engineer (1 yr)

Stony Brook University

Research Assistant (1 yr 9 mos)

Graduate Student Research Assistant (2 yrs 4 mos)

Graduate Teaching Assistant (4 mos)

Nutanix

MTS Intern (3 mos)

The Research Foundation for SUNY

Research Assistant (2 yrs 4 mos)

Coditas

Software Development Engineer (1 yr 9 mos)

Trepp, Inc.

Technical Consultant (2 yrs 1 mo)

UniAcco

Senior Software Engineer (5 mos)

SAWO Labs

Full Stack Developer (6 mos)

Rockmetric

Software Engineer (2 mos)

Freelance

Freelance Software Consultant (1 yr)

Innoviti Payment Solutions Pvt Ltd

Software Developer Intern (6 mos)

Enliten IT India

Software Developer (5 mos)

Education

Master of Science - MS at Stony Brook University

Bachelor of Engineering - BE at University of Mumbai

CISEH at Pristine Infosoultions

Javascript at freeCodeCamp

Big Data Master's at Trendytech

Yash Singhania

Software Engineer

San Francisco, California, United States6 yrs 1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Proficient in building scalable systems and architectures.
Experienced in data engineering and machine learning applications.
Strong collaborative skills in fast-paced development environments.

Stackforce AI infers this person is a Software Engineer with expertise in Machine Learning and Data Engineering within the Healthcare and SaaS sectors.

Contact

yashsinghania15@gmail.com LinkedIn

Skills

Core Skills

Data EngineeringServer ArchitectureMachine LearningData Science

Other Skills

Spring BootAWS LambdaAWS GlueAmazon DynamoDBKubernetesApache KafkaCassandraRetrieval-Augmented Generation (RAG)Machine Learning AlgorithmsAmazon KinesisPython (Programming Language)PythonDockerSQLDuckDB

About

Experience

6 yrs 1 mo

Total Experience

1 yr

Average Tenure

1 yr

Current Experience

Jpmorganchase

Software Engineer

May 2025 – Present · 1 yr · San Francisco Bay Area · On-site

Spring BootAWS LambdaAWS GlueAmazon DynamoDBKubernetesApache Kafka+7

Stony brook university

3 roles

Research Assistant

Aug 2024 – Present · 1 yr 9 mos

Revised data pipelines and resolved 49 bugs using Python and Docker to ensure compatibility with the latest RxNorm API
Developed and implemented 3 unit tests to validate the updated data pipeline, ensuring robust performance and reliability
Verified 100% data consistency and data integrity using SQL queries after implementing changes to the data pipelines
Performed data wrangling, and exploratory data analysis using Python, SQL, and DuckDB to interpret research findings

PythonDockerSQLDuckDBData Engineering

Graduate Student Research Assistant

Promoted

Jan 2024 – Present · 2 yrs 4 mos

Performed speech-to-text conversion for audio processing of interview data using NLTK
Applied statistical analysis on structured data, including t-tests and A/B tests.
Performed thematic analysis on interview transcripts using NLP libraries such as NLTK and SpaCy to identify key themes, sentiment trends, and topic clusters.
Designed 4 experiments, 6 surveys, and conducted 20+ interviews to optimize data collection
Performed data cleaning, transformation, and manipulation using Python, SQL, Excel, and DuckDB.
Created 5 interactive dashboards in Looker Studio, transforming research findings into actionable insights.

NLTKPythonSQLExcelDuckDBSpaCy+1

Graduate Teaching Assistant

Jan 2024 – May 2024 · 4 mos

Working as a Graduate Teaching Assistant for the course CSE 101 - Computer Science Principles under Prof.Jalaa Hoblos.
Teaching and Mentoring:
Leading sessions on Python programming, fostering practical skills among students.
Introducing foundational concepts of Data Science, preparing students for advanced topics.
Assessment and Support:
Diligently grading assignments and tutorials, ensuring fair and constructive feedback.
Designing interactive tutorials to enhance understanding and application of course material.
Interactive Learning:
Conducting engaging office hours, offering personalized guidance and support.

PythonData ScienceData StructuresPandasAlgorithms

Nutanix

MTS Intern

May 2024 – Aug 2024 · 3 mos · San Jose, California, United States · On-site

Distributed SystemsNetwork File System (NFS)

The research foundation for suny

Research Assistant

Jan 2024 – Present · 2 yrs 4 mos

Developed and deployed the department website using the MERN stack, enhancing accessibility and usability for faculty and students.
Designed and productionized ML models for medical datasets using Python, XGBoost, and TensorFlow, achieving 75% accuracy and 0.82 ROC-AUC.
Optimized feature engineering, data preprocessing, and model workflows to handle complex, imbalanced datasets, improving prediction robustness and clinical insights by 20%.
Built real-time computer vision and video analysis pipelines using MediaPipe, OpenCV, PyTorch, and Swift, increasing diagnostic accuracy and reliability by up to 20%.
Automated large-scale data processing, reducing computation time by 30% and enabling scalable, agile, data-driven research workflows.

PythonXGBoostTensorFlowMediaPipeOpenCVPyTorch+1