
Malla jaya venkata Kiran
Hyderabad, India
Malla jaya venkata Kiran
Web development, ml engineering, python developer,
Category : Web development
I am software engineer with experience in full-stack development, distributed systems, machine learning,I worked on projects ranging from scalable web applications and microservices to AI/ML systems
Technical Skills
Programming Languages: Python, JavaScript, Java, C++
Web Development: MERN Stack (MongoDB, Express.js, React, Node.js)
Backend Technologies: Spring Boot, Spring Cloud, Microservices
Databases: MongoDB, PostgreSQL, Oracle
Cloud & DevOps: Docker, AWS Serverless Architecture
Messaging & Caching: Kafka, Redis
Machine Learning & AI: Neural Networks, Recommendation Systems, NLP
Quantum Computing: Qiskit, Quantum Machine Learning (QML), Quantum Neural Networks (QNN)
Major Projects
MoviePass App
Full-stack cinema ticket booking platform.
Built using Java, Spring Cloud Microservices, React, Kafka, Redis, MongoDB, PostgreSQL, and Docker.
Implemented JWT authentication, payment integration, and admin management.
Distributed Real-Time Chat Application
MERN-based chat platform with WebSocket.io.
Supports real-time communication and multiple concurrent users.
Designed for scalability, fault tolerance, and high availability.
E-Commerce Search & Recommendation Engine
Improved search relevance using Sentence-BERT, NeuSpell, and PyTerrier.
Processed 20,000+ product entries.
Achieved over 80% improvement in search relevance using ranking and re-ranking techniques.
Quantum Machine Learning Research
Implemented Variational Quantum Classifier (VQC) for fraud detection.
Developed Quantum Neural Network (QNN) models for XOR and other datasets.
Explored hybrid quantum-classical learning approaches and generalized QNN architectures.
Professional Experience
Lead Engineer on an Intelligent Transport System (ITS) project.
Experience with financial analytics systems, including portfolio performance calculations and XIRR/BMXIRR implementations.
Freelance Android and web developer.
Developed and published an Android application on the Play Store.
Competitive Programming
LeetCode rating: 1700
Strong problem-solving and algorithmic skills.
Technical Skills
Programming Languages: Python, JavaScript, Java, C++
Web Development: MERN Stack (MongoDB, Express.js, React, Node.js)
Backend Technologies: Spring Boot, Spring Cloud, Microservices
Databases: MongoDB, PostgreSQL, Oracle
Cloud & DevOps: Docker, AWS Serverless Architecture
Messaging & Caching: Kafka, Redis
Machine Learning & AI: Neural Networks, Recommendation Systems, NLP
Quantum Computing: Qiskit, Quantum Machine Learning (QML), Quantum Neural Networks (QNN)
Major Projects
MoviePass App
Full-stack cinema ticket booking platform.
Built using Java, Spring Cloud Microservices, React, Kafka, Redis, MongoDB, PostgreSQL, and Docker.
Implemented JWT authentication, payment integration, and admin management.
Distributed Real-Time Chat Application
MERN-based chat platform with WebSocket.io.
Supports real-time communication and multiple concurrent users.
Designed for scalability, fault tolerance, and high availability.
E-Commerce Search & Recommendation Engine
Improved search relevance using Sentence-BERT, NeuSpell, and PyTerrier.
Processed 20,000+ product entries.
Achieved over 80% improvement in search relevance using ranking and re-ranking techniques.
Quantum Machine Learning Research
Implemented Variational Quantum Classifier (VQC) for fraud detection.
Developed Quantum Neural Network (QNN) models for XOR and other datasets.
Explored hybrid quantum-classical learning approaches and generalized QNN architectures.
Professional Experience
Lead Engineer on an Intelligent Transport System (ITS) project.
Experience with financial analytics systems, including portfolio performance calculations and XIRR/BMXIRR implementations.
Freelance Android and web developer.
Developed and published an Android application on the Play Store.
Competitive Programming
LeetCode rating: 1700
Strong problem-solving and algorithmic skills.
Working hours
- Monday:08h00 To 18h00
- Tuesday:08h00 To 18h00
- Wednesday:08h00 To 18h00
- Thursday:08h00 To 18h00
- Friday:08h00 To 18h00
- Saturday:Not available
- Sunday:Not available
- 🇬🇧 English
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