Ashutosh singh

Senior Software Engineer

4 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in designing high-availability systems.
Proven track record in optimizing backend performance.
Published researcher bridging theory and practical implementations.

Stackforce AI infers this person is a Backend-heavy Telecom Engineer with expertise in high-availability systems and scalable architecture.

Contact

ashu9315588@gmail.com LinkedIn

Skills

Core Skills

High AvailabilityScalable ArchitectureBackend EngineeringSystem Design

Other Skills

High Availability (HA)High Availability ClusteringMultithreading & ConcurrencyMutexesRead–Write LocksStructured LoggingFine-Grained SynchronizationAtomic OperationsEvent-Driven FlowsParallel ProcessingConcurrencyLog IngestionDistributed File SystemsRead-Heavy & Write-Heavy WorkloadsGdb

About

Senior Software Engineer | 5G Systems @ Samsung | Expert in System Design, C++/Python, Distributed Systems & Scalable Backend Architecture | Published Researcher Core Strengths: 🔹️System Design (HLD & LLD): Experience designing fault-tolerant, distributed, and high-availability systems. 🔹️Backend Engineering: REST APIs, multithreading, microservices, memory management, performance tuning. 🔹️Languages & Tools: C++, Python, MySQL, Docker, Kafka, Redis, ZooKeeper, gRPC. 🔹️Core CS Concepts: DSA, OOP, OS, DBMS, Concurrency, Networking, Design Patterns. 🔹️Cloud & DevOps Exposure: Docker, CI/CD, containerized deployment, scalable architecture design. 🔹️Research & Innovation: Authored and published a peer-reviewed research paper in [mention domain if possible — e.g., Deep Learning/Image Processing/Telecom Systems], demonstrating ability to bridge theory with practical system-level implementations. 🔬 My background also includes experience with Deep Learning (Keras) and Image Compression (JPEG), giving me a unique edge in cross-domain applications. 🚀 I thrive in environments where I can architect and build complex systems, collaborate across teams, and make a measurable business impact. I’m now looking to bring this blend of systems thinking, backend engineering, and research mindset into high-impact roles at product companies. 📩 Let’s connect if you're hiring for roles in System Design, Backend Engineering, or Distributed Systems. I’m open to challenging opportunities in tech-first, innovation-driven companies.

Experience

4 yrs 9 mos

Total Experience

2 yrs 8 mos

Average Tenure

4 yrs 9 mos

Current Experience

Dell technologies

Senior Software Engineer

Nov 2025 – Present · 6 mos · Bengaluru, Karnataka, India

Senior Software Engineer @DELL TECHNOLOGIES
Working on the OneFS data path for a scale-out, high-availability NAS, supporting read-heavy and write-heavy workloads at cluster scale.
Contributing to high-concurrency I/O paths, applying fine-grained locking and atomic operations to safely handle large volumes of parallel client requests.
Analyzing read/write execution flows to identify scalability bottlenecks, contention points, and latency hot paths.
Supporting high-availability behavior during node failures and rebalancing, ensuring consistent and resilient data access.
Debugging concurrency and memory issues using GDB, core dumps, and structured logging.

High Availability (HA)High Availability ClusteringHigh AvailabilityScalable Architecture

Samsung r&d institute india

Senior Engineer

Aug 2021 – Present · 4 yrs 9 mos · Bengaluru, Karnataka, India · Hybrid

Backend Developer in 5G NR | SRIB
Built a thread-safe scheduler service replacing CRON jobs, using mutexes, authentication, and structured logging to improve security by 30% and reduce operational errors by 25%.
Optimized high-concurrency uplink scheduling (PUSCH RA), handling simultaneous UE access with fine-grained synchronization, reducing access latency by 30% and improving uplink throughput by 25%.
Designed concurrent state management for multi-carrier Cell On/Off, ensuring consistency with atomic operations and event-driven flows, cutting energy consumption by 30% during low traffic.
Implemented parallel MIMO processing pipelines, enabling safe concurrent handling of antenna streams and improving spectral efficiency by 35% in dense urban deployments.
Accelerated Cell Traffic Trace (CTT) analysis through parallel log ingestion and processing, reducing troubleshooting time by 40% and improving overall network stability.
Improved system reliability by achieving 90%+ unit test coverage using GCOV/LCOV, focusing on race conditions, timing edge cases, and concurrency paths.

Multithreading & ConcurrencyMutexesRead–Write LocksBackend EngineeringSystem Design