RS
RISHI SINGH
Candidate Profile

Rishi Singh

Software Engineer · Full-Stack, Applied AI & Data Systems

“I build systems that make complex things feel simple.”

Full-stack products, applied AI workflows, and reliable data systems — designed with intent and built to ship.

Greater Noida, IndiaBennett University (2027)CGPA: 7.55 / 10
Primary Engineering Interests
Software engineering and full-stack application development
Applied artificial intelligence and machine learning pipelines
Deterministic data quality, validation, and schema governance
Healthcare analytics and structured clinical observation models
Distributed asynchronous processing and worker queue architectures
Reliable, testable, maintainable software systems with automated suites
Commercial Software Engineering

Web Developer @ Satvicpath

Dec 2025 – Mar 2026
Remote / India

Collaborated with cross-functional stakeholders to design, engineer, and deploy responsive web applications and secure transactional workflows.

  • ▸Collaborated with stakeholders to gather user requirements and applied sound engineering principles to design and ship responsive, production web applications (React.js, Node.js, HTML/CSS/JS) from feature spec to deployment.
  • ▸Built and integrated RESTful APIs to fetch, process, and render real-time data from backend services and databases, improving page load performance and interactivity for end users.
  • ▸Integrated Razorpay payment gateway end-to-end, managing secure transaction data flow through backend REST APIs in a cooperative, cross-functional team environment.
React.jsNode.jsREST APIsJavaScriptHTML/CSSRazorpay
Education & Academic Background

Bennett University

CGPA: 7.55 / 10
B.Tech in Computer Science (Artificial Intelligence & Machine Learning Specialization)
Aug 2023 – June 2027 · Greater Noida, India
  • ▸Rigorous coursework in Data Structures & Algorithms, Object-Oriented Programming, Operating Systems, Computer Networks, and Machine Learning.
  • ▸Practical engineering across full-stack applications, distributed async pipelines, and applied AI systems.
  • ▸Expected Graduation: June 2027.

Air Force School

75.1%
Class 12 (Senior Secondary Education)
Apr 2022 – Mar 2023 · India
  • ▸Science & Mathematics curriculum.

Dr. Virendra Swarup Education Center

80.4%
Class 10 (Secondary Education)
Apr 2020 – Mar 2021 · India
  • ▸Foundational STEM and computer science coursework.
Certifications
Neural Networks and Deep Learning
DeepLearning.AI
Data Structures
University of California San Diego (UC San Diego)
Dynamic Programming & Greedy Algorithms
University of Colorado Boulder (CU Boulder)
Next-Gen Workplace Automation with GenAI Specialization
Coursera / Industry Specialization