Azeem Mohd — Software Engineer

Probably somewhere switching between debugging backend code and fine-tuning an AI pipeline — because I find equal joy in scalable system design and applied machine learning. So far, I’ve worked on fintech platforms with 10K+ daily transactions, AI-powered social apps, and everything in between — from integrating Razorpay and WhatsApp Business APIs to building personalized features with recommendation algorithms and user analytics. Long-term, I want to be at the intersection of AI and scalable product engineering — maybe even build my own AI-powered product someday. For now, I’m focused on writing clean backend code, experimenting with GenAI and LLMs, and growing as a well-rounded engineer who ships meaningful impact. But here’s the more formal intro – I’m a Software Development Engineer with strong roots in Java + Spring Boot microservices and growing expertise in AI/ML engineering. I’ve architected secure and performant backend systems, integrated cloud-based data platforms like Azure Databricks, and worked with large-scale financial APIs. I’m contributing to an AI-first social media app, developing ML-driven features like content recommendation and user behavior analytics. At ePayLater, I integrated third-party services like Singzy, PiChain, Freshdesk, Razorpay, and implemented logic for merchant UPI alerts and document generation. Alongside backend development, I’ve completed hands-on training in Generative AI, LangChain, and LLM agent frameworks — with a strong interest in building real-world GenAI tools for fintech and productivity use cases. I Love Working On: Scalable Java + Spring Boot APIs with Dropwizard, Hibernate & JDBI AI/ML integrations: recommendation engines, GenAI pipelines, analytics LLMs, LangChain, OpenAI APIs, RAG pipelines Secure API integrations: Razorpay, WhatsApp Business, Databricks Swagger docs, Apache POI, role-based auth, auto-assignment logic Actively Exploring: AI-powered microservices and multi-agent systems Fintech + GenAI hybrid products Opportunities in backend + AI teams building at scale Let’s connect if you’re building something at the edge of engineering and intelligence — or just want to talk Spring Boot, LLMs, or system design.

Stackforce AI infers this person is a Backend Engineer with a strong focus on Fintech and AI-driven solutions.

Location: Hyderabad, Telangana, India

Experience: 11 mos