Rishabh Deo Singh — Software Engineer
I am a results-oriented Software Engineer with a robust foundation in Computer Science and Engineering. My expertise lies in designing and implementing scalable and efficient software systems, with practical experience in system design, API development, database architecture, and end-to-end service implementation. During my 6-month internship at Amazon India, I: 1. Designed and implemented scalable containerization components for Amazon Search. 2. Worked on system design, including API and database design, for end-to-end service development. 3. Executed key migrations and deprecations, ensuring system compliance and operational sustainability. 4. Enhanced audit reporting systems, integrating event capture and compliance reporting for improved monitoring. Additionally, I have led diverse projects that showcase my technical versatility: 1. Developed a React-based multilingual subtitle generator leveraging Whisper AI and NLP models. 2. Automated LinkedIn content scheduling with DevOps tools like Selenium, AWS, Grafana, and Prometheus. 3. Built a Zillow-inspired home value prediction tool using advanced machine learning algorithms. 4. Created a voice assistant in Java, integrating speech recognition for seamless user interaction. With a strong technical toolkit that includes Python, Java, C++, PySpark, SQL, and frameworks like AWS, Docker, and React, I am passionate about designing innovative solutions to solve complex real-world problems. My adaptability and commitment to learning enable me to stay ahead in the fast-evolving tech landscape. Let’s connect to collaborate, share ideas, or discuss groundbreaking technologies that shape the future!
Stackforce AI infers this person is a Software Engineer with expertise in SaaS and Fintech solutions.
Location: Bengaluru, Karnataka, India
Experience: 1 yr 10 mos
Skills
- Java
- Amazon Web Services (aws)
- Python
- Sql
- React.js
- Natural Language Processing (nlp)
- Aws
- Selenium
- Machine Learning
Career Highlights
- Designed scalable systems at Amazon.
- Developed innovative projects using AI and ML.
- Strong foundation in software engineering principles.
Work Experience
Amazon
SDE-I (8 mos)
Software Development Engineer Intern (5 mos)
Google Developer Student Club - LPU
Member (9 mos)
Education
Bachelor of Technology - BTech at Lovely Professional University
at ST. JOHN'S SCHOOL