Mahim Dadhich

Senior Software Engineer

Hyderabad, Telangana, India5 yrs 6 mos experience

Most Likely To Switch

Key Highlights

Expert in architecting high-scale distributed systems.
Proficient in cloud-native platforms and microservices.
Strong leadership skills with a passion for technical innovation.

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

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Skills

Core Skills

Cloud-native SolutionsMicroservicesCloud SolutionsMachine LearningData Analysis

Other Skills

AWSAgileAlgorithmsAmazon Web Services (AWS)Apache KafkaApplication DevelopmentApplication SecurityBackendCC++CommunicationCompiler ConstructionCore JavaData CleaningData Structures

About

Senior Software Engineer with 5+ years of experience and expertise in architecting high-scale distributed systems and cloud-native platforms. Specialising in Backend technologies and passion for technical innovation, leadership, and continuous skill development. Technical Skills: Languages: Java, JavaScript, Python Frameworks: Spring Boot, MVC, JPA, Spring Events, Microservices (BFF, Orchestration), REST, GraphQL Database & Caching: MongoDB, PostgreSQL, AWS S3, Redis Methodologies & Practices: OOPS, SOLID, TDD, LLD Cloud & Build Technologies: AWS, Docker, Kubernetes, KAFKA Unit Testing & Quality: JUnit, Mockito, CheckMarx, OWASP, SonarQube My enthusiasm fuels my ability to adapt and perform in dynamic tech landscapes. Hands on experience in different phases of SDLC (i.e. Planning, Analysis, Low Level Design, Development, Unit Testing and Production Delivery) using Agile with minimal turnaround time to deliver MVPs and E2E products.

Experience

5 yrs 6 mos

Total Experience

1 yr 10 mos

Average Tenure

2 yrs

Current Experience

New relic

2 roles

Senior Software Engineer

Promoted

Jul 2025 – Present · 11 mos

Working in Infra+ Platform team.
Worked on Cloud Monitoring Products for Oracle Cloud Infrastructure.

Software Engineer - II

May 2024 – Jun 2025 · 1 yr 1 mo

Working in the Synthetics Monitoring team to build products that proactively identify issues leveraging container runtimes and ensuring global availability.

Thoughtworks

Software Developer

May 2022 – Apr 2024 · 1 yr 11 mos

Digital transformation of an omnichannel platform into microservices concurrently migrating to cloud native solutions using AWS. Implemented async workflows using spring events and completable futures, reducing response time to ensure performance tuning. Owned the feature from inception to delivery with minimal TAT.
Worked on developing a B2C Debt Market Product enabling retail customers to trade in the fixed income securities. Using an AWS based microservices cloud native application, which allowed for easy maintenance and deployment of individual components. Anchored the application security and ensured resiliency through fault tolerance to maintain high availability.

AWSMicroservicesSpring EventsPerformance TuningCloud-native Solutions

Capgemini

2 roles

Senior Software Engineer

Promoted

Oct 2021 – May 2022 · 7 mos · Pune, Maharashtra, India

Delivered business requirements with enhanced availability, scalability and throughput for Commercial Banking Payment APIs.
Developed RESTful Microservices using Spring Boot, while migrating existing Oracle DB to multi geo-
location sharded MongoDB for improved data management and processing capabilities.
Adopting an Agile approach to consistently achieve development and delivery goals.
Proficiency in Collection Framework, Stream APIs, Multi-threading.

Spring BootRESTful MicroservicesMongoDBAgileMicroservicesCloud Solutions

Software Engineer

Sep 2020 – Sep 2021 · 1 yr · Pune, Maharashtra, India

Builder.ai

Machine Learning Intern

May 2019 – Jul 2019 · 2 mos · Gurugram, Haryana, India

Developed a Business revenue trend analysis and prediction model, utilising data-driven techniques to develop accurate forecasting models that inform strategic decision-making.
Used SVM and LSTM to build predictive models that deliver high accuracy and robustness, along with
feature extraction and data cleaning, relevant for model development.
Comprehended a comparative analysis of generated model results, leveraging statistical methods to evaluate the performance of the models and identify areas for improvement for further optimization.