Lovely Ram — CEO
I build architectures that learn, scale, and evolve — just like the people behind them. My curiosity for AI isn’t about automation alone, but about designing intelligence into every layer of a system. As a Solution Architect, my aspiration is to design systems that don’t just work — they evolve. I aim to build architectures that are resilient, scalable, and intelligent enough to grow with the business, not restrict it. I want to be at the forefront of blending AI with modern architecture — using data, automation, and design thinking to simplify complexity and create solutions that drive measurable impact. My goal is to make technology feel human, where clarity replaces confusion and innovation serves purpose. Beyond systems, I aspire to mentor teams, foster curiosity, and inspire engineers to see architecture not as documentation, but as a form of storytelling — a balance of creativity, logic, and vision. Ultimately, my goal is to become a tech leader who architects both systems and mindsets — empowering teams to design smarter, scale faster, and think bigger. ✅ 13+ years of hands-on experience in backend engineering, cloud-native architecture, and enterprise system design. ☁️ Expert in Java 21+, #Spring Boot, #Kafka, Docker, #Kubernetes for building scalable, distributed platforms. 🏢 Led digital commerce engineering at Adidas and payment gateway development at Capita, delivering secure, high-throughput systems. 🔐 Designed and deployed microservices with OAuth2, JWT, Spring Security, and async event processing using Kafka. 🔄 Drove DevOps automation across CI/CD pipelines using Docker, Kubernetes, Git, and JFrog—improving release cycles and reducing manual effort. 🛠️ Architected and integrated solutions using Apache NiFi, Camunda BPM, and Swagger/OpenAPI for better system visibility and developer onboarding. 🌍 Deployed and managed workloads on AWS (EC2, S3, IAM) and Azure—optimizing for cost, performance, and reliability. 📊 Experience with both relational and NoSQL data stores: Oracle, Ingres, and MongoDB. 🤖 Now focused on #GenerativeAI & Machine Learning, exploring AI-driven automation and platform intelligence in fintech. 🧠 Strong in system thinking, API strategy, and agile leadership, certified in SAFe Agile methodology. 🏅 Recipient of multiple tech awards including DXC Superstar Award 2023 and Capita Talent Award 2022. 💡 Passionate about delivering resilient, maintainable, and high-performance solutions that scale with business growth.
Stackforce AI infers this person is a Backend-heavy Fullstack Architect in Fintech with a focus on AI-driven solutions.
Location: Noida, Uttar Pradesh, India
Experience: 15 yrs 1 mo
Skills
- Software Architecture
- Java
- Microservices
- Apache Kafka
- Amazon Web Services (aws)
Career Highlights
- 13+ years in backend engineering and cloud-native architecture.
- Expert in Java, Spring Boot, and scalable distributed platforms.
- Recipient of multiple tech awards for outstanding contributions.
Work Experience
adidas
Technical Lead (2 yrs 11 mos)
Capita Technology Solutions
Tech lead (1 yr 8 mos)
DXC Technology
Product Developer (7 yrs 2 mos)
Diaspark Inc
software Engineer (10 mos)
Datamatics
Java Developer (9 mos)
Centrica Informatics
Software Developer (1 yr 9 mos)
Education
Master in Computer Application at Seemanta Engineering College College, Odisha