- π Currently working at PaySecure building scalable fraud detection and AML systems using microservices, real-time data pipelines, and ML.
- π± Previously worked at Tata Technologies and Outlier as a full-stack developer and AI prompt engineer.
- π‘ Passionate about System Design, Machine Learning, AI + LLMs, and solving real-world problems with technology.
- π― Iβm looking to collaborate on backend-heavy systems, AI applications, or developer tools.
- π§ Love Data Structures, Problem Solving & Hackathons.
C++ Java JavaScript Python SQL MongoDB
Git GitHub Azure Services Swagger Postman Docker Kubernetes CI/CD JWT OAuth2.0
Spring Boot Node js Fastapi``React.js AWS Apache Kafka Microservices REST APIs
DSA System Design Low-Level Design (LLD) High-Level Design (HLD)
Machine Learning AI NLP LLMs PowerShell CRM Systems
- Designed and built real-time fraud detection & AML backend systems using microservices.
- Leveraged both rule-based and ML-based techniques for anomaly detection.
- Engineered prompts to optimize LLM outputs across education, productivity, and content generation.
- π Improved frontend responsiveness (β70% load time), backend scalability, and analytics pipelines.
- π§ Built Course Recommendation Engine, AI Chatbot, and automated B2B/B2C dashboards.
- π οΈ Led critical modules: Admin, Payment, Registration, Live Training.
- Assisted in frontend dev, improving interactivity and responsiveness for live projects.
- β 4-star @ LeetCode (1800+ rating)
- β 5-star @ HackerRank
- π― 1000+ problems solved across platforms
- π‘ 1000+ GFG score
- π§ Familiar with Pipelines, Linux, PowerShell, and CRM Systems
- π§ Email: Rishabh2743@gmail.com
- π LinkedIn: linkedin.com/in/rishabh2743
- π» GitHub: github.com/Rishabh2743
I love building things from scratch, solving 2 a.m. bugs, and exploring how AI can truly enhance developer productivity.

