Rishabh Varshney

Software Engineer

Bengaluru, Karnataka, India3 yrs 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Architected scalable microservices for high concurrency.
Achieved 95% accuracy in candidate response processing.
Ranked in top 6% on LeetCode.

Stackforce AI infers this person is a Backend-focused SaaS engineer with expertise in scalable systems and microservices.

Contact

rishabhvarshney14@gmail.com LinkedIn

Skills

Core Skills

MicroservicesBackend DevelopmentMachine LearningFrontend DevelopmentChatbot Development

Other Skills

AerospikeAlgorithmsAmazon Web Services (AWS)BERTBack-End Web DevelopmentCode DesignCompilersComputer NetworkingComputer VisionComputingData AnalysisData StructuresData VisualizationDatabase Management System (DBMS)Deep Learning

About

As a Senior Software Engineer at Info Edge (Naukri.com), I architect and implement high-performance, scalable backend solutions that handle tens of thousands of concurrent users. My expertise spans Python, Java, and modern technologies like FastAPI, Spring Boot, Django, MongoDB, and Apache Kafka. I've led the development of critical microservices, including a real-time audio interaction system processing 5,000+ concurrent voice-based conversations hourly, demonstrating my ability to design and scale distributed systems. I excel at solving complex algorithmic challenges, as evidenced by my top 6% ranking on LeetCode and Specialist status on CodeForces. This problem-solving aptitude translates directly to my work, where I've designed a multi-layer normalization pipeline achieving 95% accuracy in candidate response processing. By integrating advanced AI, NLP, and machine learning techniques, I've significantly improved our systems' efficiency and accuracy. My drive for optimization has led to tangible improvements, including a 70% reduction in API response times through innovative caching strategies and query optimizations. I've also engineered efficient queuing systems that reduced recruiter effort by 50% while increasing candidate identification by 10-15% within hours. I've architected a language-agnostic chatbot framework supporting multiple languages with 84% intent prediction accuracy. This project showcased my ability to design scalable, maintainable systems that can evolve with business needs. Beyond coding, I'm always eager to explore new technologies and methodologies, currently delving into advanced distributed systems concepts and cloud-native architecture.

Experience

Google

Software Engineer

Oct 2025 – Present · 5 mos · India

Zomato

SDE 2

Apr 2025 – Oct 2025 · 6 mos · Gurugram, Haryana, India · On-site

Built a Bot Flow Timeline to visualize API calls and GenAI decisions behind responses, helping reduce debugging time and support queries. Enhanced internal API library to support variable chaining and response caching, leading to faster and more flexible bot flows. Also implemented a media handling system using AWS S3 and Redis for consistent delivery of media assets across channels.

Info edge india ltd

2 roles

Senior Software Engineer

Promoted

May 2023 – Apr 2025 · 1 yr 11 mos · Noida, Uttar Pradesh, India · Hybrid

Architected a scalable real-time audio interaction microservice using Python, Kafka, and Aerospike, managing 10,000+ concurrent calls per hour and reducing recruiter effort by 50%. Designed a high-accuracy normalization pipeline with GenAI, enhancing speech-to-text accuracy by 20%. Built a priority-based queuing and batching system in Java and Kafka, ensuring responsiveness for tens of thousands of users. Developed an interactive recruiter dashboard with ReactJS and FastAPI, improving candidate identification by 10-15%. Optimized Bot Response API performance by 70% through advanced query techniques, enabling seamless scalability for hundreds of thousands of users.

PythonKafkaAerospikeGenAIJavaFastAPI+3

Software Engineer

Jul 2022 – May 2023 · 10 mos · Noida, Uttar Pradesh, India · Hybrid

Developed a language-agnostic chatbot framework with Arabic support using BERT-based intent prediction, achieving 84% accuracy and expanding Gulf market reach. Built a Semantic Search and RAG microservice, reducing chatbot fallbacks by 40% and enhancing response relevance. Optimized system performance with legacy code rewrites, database indexing, and ML model refinements, improving performance by 30% and conversational accuracy by 24%. Introduced lazy loading for conversation processing, boosting uptime and reducing latency for hundreds of thousands of concurrent users. Partnered with cross-functional teams to deliver features aligned with business objectives and user needs.

BERTSemantic SearchMachine LearningChatbot DevelopmentBackend Development

Hashedin

SDE-Intern

Mar 2022 – Jul 2022 · 4 mos · Bangalore Urban, Karnataka, India · Remote

Completed an intensive training bootcamp at HashedIn University, demonstrating a strong commitment to learning new technologies. Led a team of four to develop a high-performing automobile parts auction website, earning recognition as one of the top 10 teams out of 40.

Possibillion technologies

Software Engineer Intern

Aug 2021 – Nov 2021 · 3 mos · Remote

Optimized web performance and user experience using ReactJS, while ensuring maintainability through efficient code refactoring
Collaborated with Backend team to seamlessly integrate APIs, optimizing functionality and usability of the application.