About Anubhav
Senior Backend Engineer | AI Integration Specialist
5+ years building enterprise-grade systems handling millions of daily requests. I architect scalable solutions that deliver measurable business impact, not just code.
What I Deliver:
- AI-Powered Solutions: Deep experience with OpenAI/Anthropic integration - built AI hiring platforms processing 10,000+ resumes daily and conversational chatbots with RAG implementations
- Performance Optimization: Consistent results - 35% faster data retrieval, 40% reduced latency, 50% system performance boost
- Scalable Architecture: Transitioned systems to microservices enabling 5x user growth with 99.9% uptime
Recent Wins:
Unberry AI Platform - Architected recruitment system with automated AI interviews serving thousands of users
Protean Mobility - Built Uber-like platform handling 100K+ daily rides with real-time tracking
Sprinklr AI Chatbot - Developed intelligent FAQ bots with knowledge base integration
Tech Stack:
Backend: Node.js, TypeScript, Python, RESTful APIs
AI: OpenAI GPT, Anthropic Claude, RAG systems
Cloud: AWS (Lambda, ECS, S3), Docker, Kubernetes, CI/CD
Databases: MongoDB, Redis, MySQL - optimized for performance
Real-time: WebSockets, Kafka, Firebase FCM
I specialize in building the technical foundation that lets startups and enterprises scale rapidly while maintaining exceptional performance. Whether you need microservices architecture, AI features, or performance optimization, I deliver reliable solutions with transparent communication.
Ready to build something exceptional? Let's make your vision reality.
English
Native or bilingual
Can work on-site
Prayagraj (up to 50km)
Experience
- Bounteous AccoliteSenior Software EngineerOctober 2024 - Today (1 year and 8 months)In my current role as a Senior Software Engineer at Accolite I have worked on the following projects:-Sprinklr Conversational AI Chatbot platform
- I am responsible for Development of workflows on sprinklr AI platform.
- Development of custom utility scripts on Sprinklr APIs and deployed on AWS Lambda.
- Implementation of smart FAQ bot by integration of BT's Knowledge base and FAQ articles on Sprinklr's RAG model.
- Integration of Custom pipelines like Knowledge sync with RAG model
- GrappusNode.js Engineer (Backend Engineer)November 2022 - September 2024 (1 year and 10 months)In my role as a Node.js Developer in Grappus I have worked on the following projects:-Unberry AI Hiring PlatformTech Stack: Node.js | Typescript | Javascript | OpenAI & Anthropic Services | MongoDB/Mongoose | Redis | AWSECS, Route53, S3, ALB, SNS | CI/CD | Git/Gitlab | Docker | Firebase FCM
- Designed and implemented a scalable AI parsing background service, processing 10,000+ resumes daily with 99.9% uptime.
- Developed API contracts and core database schema, improving data retrieval efficiency by 35%.
- Engineered CI/CD pipelines, reducing deployment time by 60% and increasing release frequency by 3x.
- Spearheaded the transition to a microservices architecture, enhancing system scalability to handle 5x user growth.
- Optimized ATS service for candidate, recruiter, and company-level data segregation, improving data access times by 45%.
- Created real-time notification system using Firebase FCM, achieving 99% delivery rate for time-sensitive alerts.
- Reduced infrastructure costs by 30% through efficient use of AWS services and optimization of resource allocation.
Protean MobilityTech Stack: Node.js, Express.js, TypeScript, JavaScript, MongoDB/Mongoose, Redis, AWS (EC2, Lambda, Route53, S3, ALB, SNS), CI/CD, Git/GitLab, Docker, Kubernetes, Kafka, WebSockets, Firebase FCM- Architected a scalable microservices ecosystem, handling 100,000+ daily ride requests with 99.9% uptime.
- Authored API contracts based on ONDC and Protean documentation, ensuring 100% compliance with industry standards.
- Engineered rider and driver services along with their respective middleware, reducing request latency by 40%.
- Implemented real-time driver location streaming using Kafka, processing 1M+ location updates daily with <100ms latency.
- Orchestrated containerized deployments using Docker and Kubernetes, achieving 99.99% service availability.
- Optimized database queries and implemented caching strategies, improving overall system performance by 50%.
- NTT Ltd.Software DeveloperAugust 2020 - November 2022 (2 years and 3 months)In my role as a Software Developer at NTT I got an opportunity to work on various technologies for developing on Apache Nifi (ETL Tool) & Python for automation.• Have developed backend APIs and flows using Apache Nifi.• Developed some selenium python scripts for automation testing.• Implemented a workflow using RabbitMQ in Nifi.
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Education
- Competitive Coding using C++Coding Ninjas.Competitive Coding using C++
- AWS certified Solutions Architect Associate(OnAWS certified Solutions Architect Associate(On