Rav Chandan Kumar Singh

Senior Software Engineer

Pune, Maharashtra, India4 yrs 3 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building scalable AI-enabled backend systems.
Proven track record in high-throughput financial transaction systems.
Strong foundation in microservices architecture and event-driven systems.

Stackforce AI infers this person is a Fintech and Logistics backend engineer specializing in scalable AI-driven systems.

Contact

Skills

Core Skills

JavaSpring BootApi DesignMicroservices

Other Skills

AI integrationCI/CDDockerAWSKafkaOracleREST APIsRetrieval-Augmented Generation (RAG)Large Language Models (LLM)Voice LessonsBashScriptingAngularJenkinsBusiness Analysis

About

AI Engineer focused on building scalable, production-grade systems with integrated AI capabilities. Currently at Infosys, I work on enterprise banking platforms handling millions of transactions, where reliability, low latency, and fault tolerance are critical. In parallel, I design and develop AI-enabled backend systems that bring intelligence into real-world workflows. My core strength lies in combining strong backend engineering with practical AI implementation — not just experimenting with AI, but building systems that work reliably at scale. What I Do 1. Design scalable microservices architectures using Java & Spring Boot 2. Build event-driven systems with Kafka for high-throughput processing 3. Develop AI-enabled backend services using Python, FastAPI, and LLM APIs 4. Integrate AI capabilities such as chatbots, automation, and decision systems into production environments Focus Areas 1. AI-powered backend systems and intelligent architectures 2. Distributed systems with real-time AI processing 3. Scalable GenAI applications and LLM workflows 4. High-performance, data-intensive systems enhanced with AI Approach I think beyond code — focusing on system design, scalability, and intelligence-driven problem solving to build systems that are robust, scalable, and future-ready. Open To AI Engineer and Backend + AI roles where I can: 1. Build production-grade intelligent systems 2. Solve real-world AI integration challenges 3. Take ownership and deliver high-impact solutions

Experience

4 yrs 3 mos

Total Experience

11 mos

Average Tenure

6 mos

Current Experience

Infosys

Senior Software Engineer (Backend & AI Systems)

Nov 2025 – Present · 6 mos · Pune/Pimpri-Chinchwad Area · Remote

1. Designed and developed high-throughput Spring Boot microservices handling large-scale financial transactions, with architecture extensible for integrating AI-driven decision systems and intelligent processing workflows.
2. Architected secure backend systems focusing on API design, authentication, authorization, and web security, while enabling AI-assisted integrations using external LLM APIs for automation and intelligent data processing.
3. Built and optimized event-driven backend workflows, reducing system latency by 15% under production load and improving responsiveness for real-time, data-intensive, and AI-enabled applications.
4. Developed scalable, API-driven systems capable of integrating Python-based AI services (FastAPI/LLM modules), enabling use cases such as intelligent automation, data enrichment, and conversational interfaces.
5. Led CI/CD automation and deployment pipelines using Jenkins, Docker, AWS, and SonarQube, ensuring reliable and scalable deployment of backend and AI-integrated services in production environments.
6. Contributed to building resilient, distributed systems with a focus on scalability, fault tolerance, and readiness for high-volume AI workloads and real-time processing pipelines.

JavaSpring BootAPI designAI integrationCI/CDDocker+1

Nexsys

Software Engineer – Backend Systems

Dec 2023 – Nov 2025 · 1 yr 11 mos · Mumbai, Maharashtra, India · Hybrid

1. Designed and implemented scalable backend architecture for airline cargo systems using Java, Spring Boot, Oracle, and REST APIs, with a focus on handling high-volume data workflows suitable for intelligent and AI-driven processing.
2. Analyzed legacy SkyChain architecture and contributed to modernization through microservices-based design, enabling modular systems that can integrate AI services and data-driven decision layers.
3. Built Queue App 2.0 integrating 6+ internal and external APIs, enabling asynchronous, event-driven cargo processing and real-time data pipelines applicable to AI inference and automation use cases.
4. Performed architectural validation, performance testing, and system integration for global airline customers, ensuring scalability, reliability, and readiness for data-intensive and AI-enabled workloads.

JavaSpring BootOracleREST APIs

Texala technologies

Software Engineer

Jul 2023 – Nov 2023 · 4 mos · Pune District, Maharashtra, India · On-site

1. Built backend services using Java, Spring Boot, and REST APIs following enterprise architecture principles, with extensibility for integrating AI-driven services and intelligent workflows.
2. Improved application performance through efficient database access, query tuning, and resource optimization, enabling scalable data processing suitable for AI and data-intensive applications.
3. Supported CI/CD pipelines and containerized deployments using Docker, ensuring reliable and scalable environments for deploying backend systems and AI-enabled services.

JavaSpring BootREST APIs

Flyboard ventures

Software Engineer (Backend)

Aug 2022 – Jul 2023 · 11 mos · Chandigarh, India · On-site

1. Developed backend services using Java to handle concurrent requests with multithreading and asynchronous processing, forming the foundation for scalable systems used in real-time and AI-driven applications.
2. Integrated messaging (Kafka) and caching solutions to improve system scalability, enabling efficient data flow and processing pipelines suitable for AI and data-intensive workloads.
3. Applied unit testing using JUnit along with BDD and TDD practices to ensure reliability and correctness of backend services supporting intelligent and high-throughput systems.

JavaMicroservicesKafka

Masai

Full-Stack Developer Trainee

Nov 2021 – Jun 2022 · 7 mos · Bengaluru, Karnataka, India · Remote

Full-Stack Developer (Intensive Bootcamp)
Masai School · 6 months · Full-time
1. Completed a high-intensity, full-time Full-Stack Engineering bootcamp (9 AM–9 PM, 6 days/week) with strong focus on building production-grade systems and developing problem-solving and analytical thinking skills essential for AI-driven applications.
2. Built end-to-end applications using Java, Spring Boot, REST APIs, and databases, with exposure to integrating intelligent features and data-driven workflows into backend systems.
3. Developed strong foundations in data structures, algorithms, and system design, enabling efficient problem-solving and logical reasoning required for machine learning and AI systems.
4. Gained hands-on experience working with structured and unstructured data, preparing and processing data for building scalable and intelligent backend solutions.
5. Worked in agile, team-based environments with code reviews, pair programming, and rapid delivery cycles, simulating real-world engineering practices used in AI and product-based companies.
6. Built a solid understanding of API design, backend architecture, and system thinking, forming the foundation for developing scalable AI-enabled applications and services.