Rajeev Singh — Software Engineer

I am a passionate Software Engineer with experience across full-stack development, cloud computing, and machine learning. Currently pursuing a Master’s in Computer Science at the University of Southern California, I thrive in fast-paced environments where innovation and problem-solving meet to create impactful solutions. My professional journey includes developing scalable systems, optimizing infrastructure, and building real-time applications. At ASML, I designed a CI/CD pipeline using Terraform and Azure Kubernetes, improving system uptime by 15%. I've also built a dynamic error-tracking system that reduced resolution time by 50%. Beyond technical skills, I am deeply motivated by projects that create meaningful change. Whether it was working on contract farming platforms to empower farmers or developing AI-driven applications for healthcare outcomes, I’ve seen how technology can bridge gaps and create opportunities. I’m particularly excited about opportunities where I can combine my passion for scalable systems and AI to develop user-focused, innovative solutions. Always eager to learn, I keep up with the latest tech trends and love collaborating with diverse teams to solve complex problems. If you are looking for a driven and skilled machine learning engineer or software engineer, do reach out to me at rajeevdh@usc.edu

Stackforce AI infers this person is a Fullstack Software Engineer with a focus on AI and Machine Learning in the Software Development industry.

Location: Menlo Park, California, United States

Experience: 1 yr 8 mos

Skills

Microservices
Python (programming Language)
Machine Learning
Data Processing
Data Science

Career Highlights

Designed CI/CD pipeline improving uptime by 15%
Led team to develop data extraction tool with 2-second accuracy
Created AI-driven applications for impactful healthcare solutions

Work Experience

USC Viterbi ITP

Lead Course Assistant (ITP 459) (9 mos)

Course Assistant(ITP 459 NLP) (4 mos)

ASML

Software Engineer (Customer/Program Support) Intern (3 mos)

MIDAS: Multimodal Digital Media Analysis Lab

Undergraduate Researcher (1 yr 5 mos)

Cerebranium

Software Engineering Intern (2 mos)

Vidyalankar Institute of Technology, Mumbai

Summer Intern (Computer Vision) (2 mos)

Education

Master of Science - MS at University of Southern California

Bachelor of Engineering - BE at Vidyalankar Institute of Technology, Mumbai

11th - 12th HSC at K. M. Agrawal College

SSC at Sri Vani Vidyashala High School

Rajeev Singh

Software Engineer

Menlo Park, California, United States1 yr 8 mos experience

Most Likely To Switch

Key Highlights

Designed CI/CD pipeline improving uptime by 15%
Led team to develop data extraction tool with 2-second accuracy
Created AI-driven applications for impactful healthcare solutions

Stackforce AI infers this person is a Fullstack Software Engineer with a focus on AI and Machine Learning in the Software Development industry.

Contact

Skills

Core Skills

MicroservicesPython (programming Language)Machine LearningData ProcessingData Science

Other Skills

Electron.jsAngularJSApache KafkaNode.jsMicrosoft SQL ServerJSON Web Token (JWT)AnalyticsExpress.jsKubernetesTerraformEvent hubAzure EntraDockerFlaskSQL

About

Experience

1 yr 8 mos

Total Experience

10 mos

Average Tenure

11 mos

Current Experience

Usc viterbi itp

2 roles

Lead Course Assistant (ITP 459)

Aug 2024 – May 2025 · 9 mos · Los Angeles, California, United States · On-site

Under Professor Allen Bolourchi

Course Assistant(ITP 459 NLP)

Jan 2024 – May 2024 · 4 mos · Los Angeles, California, United States · On-site

Asml

Software Engineer (Customer/Program Support) Intern

May 2024 – Aug 2024 · 3 mos · Boise, Idaho, United States · On-site

1. Developed a dynamic error tracking system using Electron, Azure, and MEAN stack, reducing error notification time by 50% and improving error resolution efficiency by 30%. Configured OAuth for user authentication.
2. Implemented Apache Kafka for processing and storing streaming data from over 50 EUV and DUV machines to handle 1 million logs per hour, and created approximately 30 APIs, enhancing data processing speed by 40%.
3. Designed and deployed a CI/CD pipeline, managing backend hosting on ASML servers. Utilized Terraform, AKS, and Event Hubs for infrastructure management and event-driven distributed architecture, improving system uptime by 15%.

Python (Programming Language)MicroservicesElectron.jsAngularJSApache KafkaNode.js+9

Midas: multimodal digital media analysis lab

Undergraduate Researcher

Aug 2021 – Jan 2023 · 1 yr 5 mos · New Delhi, Delhi, India · Remote

1. Led a team of 8 developers to construct a data extraction tool using OCR engines and Regex patterns to extract text from images accurately, achieving data extraction within 2 seconds.
2. Re-engineered backend system, boosting performance by 80% through code optimization and multithreading, and improved server uptime to 99.87%.
3. Designed a filtering algorithm with 96.5% accuracy to detect anomalies and flag data within 0.4 seconds.
4. Engineered a CI/CD pipeline, deploying codebase on AWS EC2 Linux instance, improving deployment efficiency.

Cerebranium

Software Engineering Intern

Aug 2021 – Oct 2021 · 2 mos · Berlin, Germany · Remote

1. Spearheaded development of behavior analysis algorithm in proctoring software, detecting cheating through log files.
2. Built a Machine Learning pipeline using a Random Forest model with 84% accuracy, deployed it on Azure VM, and established an automatic retraining schedule every 15 days for enhanced performance and reliability.

Python (Programming Language)MicroservicesFlaskSQLNatural Language Processing (NLP)Machine Learning Algorithms+6

Vidyalankar institute of technology, mumbai

Summer Intern (Computer Vision)

Jun 2021 – Aug 2021 · 2 mos · Mumbai, Maharashtra, India · Remote

Developed a system which monitors whether social distancing is being followed or not using OpenCV, and Harcascades.
System alerts the admin with an error sound and the location of the Crowd Detected.

Python (Programming Language)Relational Data ModelingTableauMicroservicesSQLHypothesis Testing+7