Ritik Ranjan

Software Engineer

Gurugram, Haryana, India3 yrs 4 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in scalable backend systems and telemetry accuracy.
Proficient in full-stack development with a focus on microservices.
Strong background in machine learning and data analysis.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in Machine Learning and Cloud Technologies.

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Skills

Core Skills

Backend DevelopmentSystem ReliabilitySoftware DevelopmentSystem AutomationFull-stack DevelopmentMicroservice ArchitectureMachine LearningData AnalysisComputer Vision

Other Skills

AngularBash ScriptingC++CI/CDCRUD OperationsCloudCloud ApplicationsCloud ComputingCompetitive ProgrammingData CleaningDatabase Management System (DBMS)DatabasesDeployment AutomationDockerDocker Products

About

I love learning new tools and tackling challenging backend problems. I focus on writing clean, maintainable code and building scalable systems that make a difference. Always open to connecting and sharing ideas!!

Experience

3 yrs 4 mos

Total Experience

3 yrs 4 mos

Average Tenure

3 yrs 4 mos

Current Experience

Hughes systique corporation (hsc)

3 roles

Software Engineer

Promoted

Apr 2025 – Present · 1 yr 2 mos · Gurugram, Haryana, India

I've worked across multiple modules in aircraft connectivity and system reliability, focusing on scalable backend systems, data sync reliability, and telemetry accuracy, performance. Some key initiatives include:
MQTT & Messaging Reliability: Implemented multiple fixes and frameworks to ensure message store stability, reduce hotfix frequency, and improve broker reliability.
Sync Enhancements: Designed and optimized the multiple telemetry modules, improving file transfer reliability under intermittent network conditions.
Performance & Monitoring: Enhanced system telemetry through backfilling data, improving flight status tracking, and refining monitoring APIs for real-time visibility.
Deployment & CI/CD Improvements: Delivered pipelines for multiple modules and added feature with backward compatibility; automated modules workflows to reduce deployment friction.
System Stability & Logging: Led root cause analysis and fixes for log rotation, introduced improvements, and refined statistics collection APIs for better observability.
Hardware Integration & Validation: Validated hardware's upgrade APIs, improved hardware's telemetry data handling, and automated backfill processes for hardware part numbers and serial tracking.
Testing & Sanity Cycles: Contributed to multiple sanity cycles ensuring integration quality, performance, and reliability across aircraft systems.

MQTTMessaging ReliabilityTelemetryCI/CDLoggingBackend Development+1

Associate Software Engineer

Jul 2023 – Apr 2025 · 1 yr 9 mos · Gurugram, Haryana, India

Built an application to automate deployment and execution of scripts across aircraft systems, improving reliability and reducing manual maintenance efforts.
Supported development of a platform managing software updates and rollbacks on critical onboard hardware like modems, antennas, and telemetry systems, with real-time status via MQTT and REST APIs.
Developed Bash automation scripts to sync logs to GCP, clean up systems, and optimize performance, improving operational efficiency.
Contributed to monitoring tools that track Docker and Systemd services, providing real-time CPU and memory metrics for proactive system health management.

Deployment AutomationBash ScriptingMonitoring ToolsGCPREST APIsSoftware Development+1

Java Trainee

Jan 2023 – Jun 2023 · 5 mos · Gurugram, Haryana, India

Event Management System
Developed a microservice-based event management system that allows event managers to create and manage events, and users to explore and join them.
Designed and implemented independent microservices for event management, user authentication, and registration modules.
Used Spring Security to handle authentication, authorization, and role-based access control.
Implemented CRUD operations for event and user management using Spring Boot REST APIs.
Added event filtering and search based on tags and date range to enhance user experience.
Ensured scalability and maintainability through modular microservice design.
Gained practical experience in full-stack development and secure API communication between services.

MicroservicesSpring SecuritySpring BootCRUD OperationsFull-Stack DevelopmentMicroservice Architecture

Jk lakshmipat university, jaipur

Machine Learning Researcher

Jan 2022 – Jul 2022 · 6 mos · Jaipur, Rajasthan, India · On-site

Conducted data review and model training on real customer data related to home renovation preferences (partial, none, full, or upcoming).
Performed extensive data cleaning and preprocessing, ensuring data consistency and improving model reliability.
Reduced over 250 features to 26 key questions using feature selection, while maintaining around 89% model accuracy.
Trained and compared Gradient Boosted Trees, Random Forest, and CART models, achieving the best performance with Gradient Boosted Trees.
Improved model efficiency and interpretability by simplifying data inputs without compromising prediction accuracy.
Developed a simple frontend interface to display and collect responses for the 26 key questions, improving usability and data collection efficiency.

Data CleaningModel TrainingFeature SelectionMachine LearningData Analysis

Anemoi technologies

Machine Learning Researcher

Apr 2021 – Jun 2021 · 2 mos · Gurugram, Haryana, India · Remote

Collected and labeled image data for helmet detection using ImgLabel, creating a clean and well-organized dataset.
Trained and fine-tuned YOLOv5 models using PyTorch, TensorFlow, and OpenCV for object detection.
Implemented real-time video processing, allowing the system to detect helmets directly from live or recorded video streams.
Achieved over 93% detection accuracy through model optimization and dataset refinement.

Image Data CollectionYOLOv5Real-time Video ProcessingMachine LearningComputer Vision