🚀 Upcoming Associate Application Developer @ Thoughtworks
🎓 Final-year B.Tech IT student at VIT (CGPA: 9.04)
💻 Backend-focused engineer passionate about System Design, Distributed Systems & Secure APIs

I’m a backend-focused developer who enjoys designing scalable, reliable, and secure systems.
I work primarily with Node.js and Go, building RESTful APIs, microservices, and cloud-native applications.

I strongly believe that good system design is about trade-offs — scalability vs consistency, latency vs cost — and I enjoy reasoning about these decisions while building production-ready software.

I actively focus on:

• Designing scalable backend architectures
• Breaking monoliths into microservices
• API gateway & authentication flows
• Caching strategies using Redis
• Database schema design & indexing
• Fault tolerance & reliability
• Rate limiting, retries, and idempotency
• Observability (logs, metrics, error handling)

I enjoy drawing system design diagrams and thinking through real-world constraints like traffic spikes, failures, and security threats.

• C++, Python, Java, JavaScript, Go

• Node.js, Express.js, Golang
• RESTful APIs, Microservices Architecture
• Authentication (JWT, Token-based)
• Secure API Design & Rate Limiting
• Performance Optimization

• MongoDB, PostgreSQL, SQL
• Redis (Caching & Fast Lookups)

• AWS (SES, EC2, S3 – hands-on)
• Docker, Basic Kubernetes
• CI/CD using GitHub Actions
• Git, GitHub

• Scikit-learn, Pandas, NumPy
• GenAI API integration
• RAG pipelines with vector databases

Tech: React, Node.js, MongoDB, Gemini API

• Designed scalable REST APIs for stock & portfolio data
• Integrated LLM-powered chatbot for contextual financial insights
• Focused on API reliability, logging, and secure endpoints

Tech: Go, AWS SES, Redis, Docker

• Designed authentication & OTP lifecycle microservices
• Redis-based caching to reduce latency
• Secure token handling & API key management
• Containerized services following DevOps practices

Tech: Python, LangChain, ChromaDB

• Built document-aware chatbot for financial reports
• Implemented chunking, embeddings & similarity search
• Focused on grounded, accurate LLM responses

Tech: Scikit-learn, Streamlit

• Built ML pipeline with 90%+ accuracy
• Exposed inference via REST API

• Advanced System Design Patterns
• Distributed Systems concepts
• Kubernetes (hands-on)
• High-level & low-level design for interviews
• Cloud-native architecture best practices

• Backend engineering (Node.js / Go)
• System design interviews
• API security & authentication
• Microservices & Redis caching
• Building production-ready projects

• 📧 Email: mahidharkarakala2405@gmail.com

I enjoy turning system design diagrams into working production code 🚀