Mukesh Das

Software Engineer

Jamshedpur, Jharkhand, India4 yrs 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Designed a high-performance analytics pipeline reducing query time by 75%.
Developed a telecom billing system improving performance by 40%.
Expert in Java and Microservices with strong DevOps practices.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in SaaS and Fintech.

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Skills

Core Skills

Java DevelopmentMicroservicesSoftware Infrastructure

Other Skills

Core JavaSpring BootGitApache KafkaHibernateJPAREST APIsMS SQLCI/CDDockerJava SE/EEMySQLAWSTerraformJenkins

About

Portfolio - https://mukesh7277.github.io/mukesh-das-portfolio/ I'm incredibly enthusiastic about diving into the world of new technologies and languages. 💻 I'm actively seeking fresh opportunities to expand my skill set and embrace innovative advancements. My goal is to stay at the forefront of technological progress and contribute meaningfully. 🚀 I am especially interested in the latest developments in SoftwareEngineering roles. I am eager to collaborate with forward-thinking teams and contribute to exciting projects. 💡 I'm open to exploring various roles and environments that will enable me to learn and grow. #NewTechnologies #LanguageLearning #CareerGoals #TechOpportunities #Java

Experience

4 yrs 8 mos

Total Experience

1 yr 10 mos

Average Tenure

1 yr 4 mos

Current Experience

Turing

Pod Lead

Feb 2025 – Present · 1 yr 4 mos · Remote · Remote

Designed and developed a high-performance analytics pipeline for Google using Core Java, Spring Boot, and microservices
architecture, reducing query processing time by 75%. Collaborated cross-functionally with the Managed CDO team and Sable
Storage providers.
Ensured robust version control and code quality through Git and peer code reviews.
Built Spring Boot applications powering data pipelines for training Large Language Models (LLMs) using Supervised Fine-Tuning
(SFT) and Reinforcement Learning from Human Feedback (RLHF).
Built scalable integrations for high-volume Amazon data streams using Apache Kafka, enhancing data ingestion and access into
Sable Storage by 300%.
Actively contributed in an Agile environment, adapting to rapid feedback cycles and iterative delivery.
Implemented fault-tolerant microservices for enterprise data storage (Google Cloud projects) using Java SE/EE, Spring Boot,
Hibernate, JPA, REST APIs, and MS SQL.
Focused on performance tuning and schema optimization, improving database efficiency
Led backend system enhancements for Amazon and Google projects using CI/CD pipelines, Docker for containerization, and
environment-specific debugging (dev/test/prod). Applied DevSecOps principles to ensure maintainability, security, and scalability.
Maintained a proactive approach to emerging trends and best practices in backend development.

Core JavaSpring BootMicroservicesGitApache KafkaHibernate+6

Revalgo

Software Engineer

Aug 2024 – Feb 2025 · 6 mos · Remote · Remote

Developed a robust postpaid billing system for complex telecom scenarios using Spring Boot, Core Java (SE/EE), Hibernate, JPA,
XML, JSON, RESTful APIs, and MySQL (RDS). Achieved a 40% improvement in system performance and scalability by integrating
AWS services such as EC2, RDS, IAM, and implementing Infrastructure as Code (IaC) using Terraform.
Implemented dynamic billing logic for both prepaid and postpaid services. Integrated Apache Kafka for real-time message processing,
containerized the application using Docker, and automated deployments via Jenkins CI/CD pipelines—resulting in a 30% reduction in
billing errors and faster release cycles.
Collaborated across departments including finance, customer service, and product teams to align the system logic with telecom billing
policies. Built real-time integration workflows using REST APIs, Kafka, and Amazon SQS, with system monitoring enabled through
CloudWatch and Prometheus.
Applied object-oriented programming principles, clean code practices, and common design patterns to build scalable, maintainable
services. Ensured code quality and version control with Git workflows. Delivered features iteratively in a collaborative Agile
environment with regular sprint ceremonies and peer reviews.