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Abhinav Maurya

Open to work1 years experience

Software Engineer

Noida, IndiaTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

Software Engineer at Samsung Research Institute | IIT Roorkee Graduate

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Standing Rank

Rank Not Available

Developer Badges

Badges Pending

Skills & Technologies

20 skills
cc++javapythonjavascriptrustsqlhtmlcsslanggraphlangchainragmcpfaissgitdockerspring bootvllmcudaperforce

Work Experience

Software Engineer

Samsung Research Institute

Jul 2025 - Present Delhi, India
  • Engineered a structured-output LLM framework for dynamic UI generation, enabling models to synthesize and validate JSON interface specs from natural-language prompts with 95%+ schema validity, reducing manual UI wiring effort by 40%.
  • Architected a proof-of-concept voice automation solution for OpenClaw agent, integrating Samsung Gallery to retrieve 500+ past-trip memories, enabling voice-based TV channel configuration with 90%+ command success rate, and implementing a RAG-based MCP server hosted on the TV.
  • Developed and debugged the gRPC-based USB module orchestration flow for WOC–TV USB mount synchronization, cutting response time from 120 ms to 70 ms and reducing mount failures by 50%+, while resolving functional and memory issues using ASan and a memory profiler tool.
  • Designed & implemented an NLP-based MCP pipeline leveraging eBPF and a RAG pipeline (Qwen-3 embeddings + FAISS) to retrieve kernel-level tracepoints and auto-generate accurate eBPF programs, reducing system diagnosis and defect reproduction time by 90%.
  • Collaborated across kernel and user-space modules in root cause analysis for 100+ defects, achieving a 20% improvement in code coverage through regular unit and smoke testing with the GTest.

Software Development Engineering Intern

VISA

May 2024 - Jul 2024 Bangalore, Karnataka
  • Led migration of the R2P product from SCDF to VD-BFM, addressing Java and Spring Boot security vulnerabilities and optimizing release stability by 15%.
  • Conducted a Quartz Scheduler POC that reduced manual scheduling effort by 40%.
  • Modularized REST APIs and Spring Batch jobs that improved processing throughput by 25%.
  • Used Liquibase and JUnit tests to maintain 91.6% code coverage and reduce regression risk.

Projects

Multithreaded Web Server

C++MultithreadingNetwork ProgrammingAsync I/OWeb Caching
  • Built a multithreaded web server using C++ with epoll for non-blocking asynchronous I/O to handle multiple client connections.
  • Implemented a thread pool to distribute client requests across threads, optimizing concurrency and resource management.
  • Deployed an LRU cache to store frequently accessed resources, cutting down disk access by 73%.
  • Achieved 1500+ requests per second during load testing with wrk, ensuring low latency and high performance.

CraveCompass

FlaskPostgreSQLPostGISTensorFlowDocker
  • Flask-based food ordering web app with PostgreSQL/PostGIS and TensorFlow MobileNetV2, integrating A2UI to enable 2x faster user interaction and scalable geographic restaurant discovery through a Docker-based master-replica architecture.

CPU Scheduler

JavaScriptHTML/CSSGoogle Charts API
  • Built a CPU Scheduling Simulator with FCFS, SJF, SRTF, and Priority Preemptive algorithms using Google Charts API, providing real-time visualization of WT, TAT, and CT while accelerating scheduling analysis efficiency by 60%+.

Leaderboard Standings

Leaderboard Position Pending

Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.

Assessment Highlights

Assessments Not Completed

Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.

AI Collaboration Score

AI Collaboration Score Pending

Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.

Role Compatibility Profile

Role Compatibility Analysis Pending

Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.

Achievements

Competitive Programming Achievements

CodeChef Max Rating 2054 (5-Star), Codeforces Max Rating 1669 (Expert), LeetCode Max Rating 2320 (Guardian).

About Details

Professional Bio

Software Engineer at Samsung Research Institute with expertise in LLM frameworks, RAG pipelines, and system-level programming. Experienced in developing voice automation, gRPC modules, and eBPF-based diagnostics. Proficient in C++, Java, Python, and modern AI/ML frameworks.

B.Tech in Electronics and Communications Engineering in Electronics and Communications Engineering

Indian Institute of Technology, Roorkee (2021 - 2025)

Languages: English, Hindi
Email: Locked