Recommendation Engine powered by OpenAI API
End-to-end intelligent recommendation system pairing OpenAI embeddings with vector storage for contextual, real-time suggestions.
I'm Dr. Richa Arora — Ph.D. in Computer Science, IBM Subject Matter Expert on Coursera, and corporate trainer to 80,000+ engineers across India, Europe, and beyond. I design the curriculum that gets full-stack, mobile, and AI careers shipped.

From building things in a university lab, to designing curriculum that reaches 145,000+ learners on Coursera, to mentoring engineers into FAANG — this is where I've been, and what brought me here.
Where it began. CGPA 8.0/10. First lines of code, first love for the craft.
Seven years shaping university students in Computer Science & Engineering.
Computer Science & Engineering. CGPA 7.01/10. Deeper into systems, algorithms, and research.
Parallel residencies across India's top EdTech academies. 600+ learners per cohort.
Designed and authored 13 courses reaching 145,000+ global learners.
Structured DSA, system design, and interview preparation for candidates now at FAANG.
End-to-end full-stack engineering programs for colleges.
The capstone. Now Industry Mentor @ upGrad & UGC-NET Academic Expert @ Testbook.
Click any planet to explode it into its full skill tree — core tech, tools, expertise, and proof-of-work.
◦ Click any planet to see inside ◦
A selection of end-to-end builds — each one a production-grade artifact covering architecture, integration, and deployment.
End-to-end intelligent recommendation system pairing OpenAI embeddings with vector storage for contextual, real-time suggestions.
Complete end-to-end platforms covering frontend, backend, database integration, and REST APIs — designed as industry-aligned capstones.
Android & iOS builds with scalable architecture, API integration, and production deployment workflows.
Practical vector-database projects powering AI search experiences — from ingestion to retrieval.
13+ hands-on courses and capstones across JS, React, Full-Stack, Mobile, and UX/UI — authored as IBM SkillUp SME.
EdTech academies, universities, career labs. Different scales, different learners — same commitment to turning curriculum into careers.
Full-Stack & Mobile Development — designed 13 courses, also delivered to European clients.
Structured Full-Stack training with placement-focused mentoring.
600+ students — large-scale Full-Stack program with curriculum design, assignments, projects.
End-to-end Full-Stack training with heavy project orientation.
Front-end, back-end, database integration — scalable web application focus.
Hands-on full-stack training plus mock sessions for interview readiness.
Full-Stack + coding practice + mocks for product-based and top-tier tech roles.
Frontend through backend plus Docker, Kubernetes, and database systems.
Assistant Professor — academic CS & industry-oriented training, side-by-side.
Full-Stack, DSA, Data Engineering — structured career preparation for FAANG aspirants.
Live webinar on AI-assisted development with Cursor, Copilot, and modern workflows.
Authored under IBM SkillUp × Coursera — hands-on curriculum spanning front-end, databases, vector AI, mobile, and UX/UI design. Every link below goes to the live course.
Nineteen real, verified testimonials — sourced from public Coursera course pages and LinkedIn recommendations. Every name, date, and star rating is pulled directly from the live record.
“Richa is a fantastic tutor! Her in-depth knowledge and knack for explaining technical details in a clear and concise way were invaluable. I confidently started coding, even giving interviews in JavaScript after her sessions. She helped me identify and improve my weaknesses, and her guidance ultimately led me to success at big tech companies such as Google and Amazon.”
“Richa is a very skilled and experienced tutor. Thank you for being an amazing teacher during my Frontend Engineer interview preparation. The mock interviews she conducted in a time-framed format helped me throughout. Highly recommended for anyone who appreciates clear explanations.”
“It challenging in the right places, I learned a lot about a lot of things. I did want to be held more accountable on assignments; something to keep me motivated like a stricter deadlines.”
“The course is well organised with projects. It is helpful to employee theory in specific cases.”
“This React course from IBM on Coursera is highly regarded and one of the best available.”
“Such a great, knowledgeable, and wonderful front-end-app development course. Coursera is the best platform for learning.”
“Before going for front end development with React you must learn this course”
“I learned a lot about JavaScript, and I now understand how websites work.”
“This course helps me a lot, i just see how JS is interesting and beautiful language, thank you...”
“The Front-End Development Capstone Project course on Coursera provided an excellent hands-on experience, allowing me to apply my skills and knowledge to real-world projects, enhancing my proficiency in front-end development.”
“This course is a great opportunity to consolidate my learning through a real-world project. The guidance and resources offered were instrumental in boosting my practical skills and understanding of front-end development.”
“It was a wonderful experience learning every module and gaining in-depth details of each topic. The labs always helped us practice what we have learned, and the quizzes were also helpful in revising our learning.”
“i found this course very good. All the topics and labs are covered in this course. Give 5 star.”
“I'm very glad, this is good course, there are many Lab. Thank you”
“Some challenge for sure, but learns a lot from this project”
“Good capstone project, well designed and explained!”
“Very informative course. Learnt a lot”
“Amazing course — best course — very informative. Learnt a lot.”
“Very nice course, well explained and designed with clear examples throughout.”
Fill in a few details and I'll personally get back to you within 24–48 hours. Corporate training, mentorship, speaking, or just to say hi — it all arrives in the same inbox.