SentraOps
All-in-one operations dashboard for enterprises with built-in LLMOps guardrails and real-time monitoring.
Next.jsFastAPIPostgreSQLQdrant+3 More
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Specializing in Distributed Inference & LLMOps
I build intelligent
systems. - Abdul Razak N | AI Engineer & Systems Architect
Machine Learning Engineer
Hi, I'm Abdul Razak. I am a backend-focused systems and ML engineer. I specialize in designing low-latency RESTful APIs, high-throughput data processing pipelines, and scalable local LLM serving infrastructure.
Status
Available for work
01 // Inside the Mind
Engineering Philosophy
I don't just write code; I construct the backbones of systems that process data, draw inferences, and serve users in real-time. My engineering journey is fueled by a curiosity for how complex systems are built, scaled, and secured.
Having completed intensive software academy training at Freshworks, I gained hands-on expertise in industry practices—ranging from MVC design patterns and unit testing to continuous delivery pipelines and agile sprint structures.
My focus lies at the intersection of Backend Engineering and Applied Machine Learning. I design systems with the capacity to handle concurrent operations, optimize resources, and serve large-scale models with minimal overhead.
"The bottleneck in modern computing is no longer raw computation—it is the orchestration and latency of data flow between layers."
Intelligent Systems Architect
Driven by the transition from static software to intelligent agentic systems. Focused on model serving, distributed inference, and LLMOps pipelines.
Scalable API & Backend Engineer
Expertise in designing RESTful architectures with Spring Boot and FastAPI. Skilled in handling concurrent connections and database optimization.
Low-Latency Mindset
Passionate about optimizing GPU infrastructure and utilizing containerized tools (Docker, Kubernetes) to reduce processing overheads and latencies.
Constant Lifelong Learning
Currently pursuing B.Tech in Artificial Intelligence & Machine Learning. Industry-vetted training at Freshworks Software Academy.
07 // Autonomous digital twin
Virtual AI Twin
twin-agent-v1.0.0
Active context: Resume & Projects
Hello! I am Abdul Razak's AI Digital Twin. I have access to his full resume, certifications, experience history, and project architectures. How can I assist you with your hiring decisions today?
03 // Engineering Portfolio
Featured Systems
RuralGPT
High-performance local AI assistant tailored for offline agricultural advisory and localized systems.
FastAPIQuantized LLMQdrantPython+3 More
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TransitOps
Smart fleet dispatch platform optimized for high-concurrency tracking and route orchestration.
Spring BootJavaWebSocketsProject Reactor+2 More
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EcoSphere
ESG compliance analyzer utilizing local document parsers and semantic checking matrices.
PythonFastAPIQdrantPDF Parsing+2 More
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02 // Historical Milestones
Professional Timeline
Bachelor of Technology (B.Tech)
Saveetha Engineering College
Expected Graduation: May 2028
- Specializing in Artificial Intelligence and Machine Learning.
- Focusing on system-level programming, neural network architectures, data science, and distributed systems.
PythonTensorFlowScikit-LearnMachine LearningDeep LearningPandasNumPy
Full Stack Developer Intern
Enyard Private Limited
Sept 2025 - Nov 2025
- Developed and optimized RESTful APIs using Spring Boot, improving response latency and backend efficiency.
- Implemented robust backend logic to handle concurrent requests, enhancing application scalability.
- Identified and resolved database performance bottlenecks, improving system reliability under high loads.
- Collaborated with cross-functional design and frontend teams to integrate scalable application features.
Spring BootJava SE 21RESTful APIsMySQLGitBackend Optimization
Product Development Intern
Lumel Technology
Dec 2023 - June 2024
- Built and optimized interactive data-driven dashboards using Power BI and InfoRiver Matrix.
- Processed and analyzed complex structured datasets to generate actionable KPI insights for business decisions.
- Collaborated closely with engineering teams to enhance reporting performance and data pipeline efficiency.
Power BIInfoRiver MatrixData AnalysisMySQLKPI Dashboards
Software Trainee
Freshworks Software Academy
Sept 2022 - Nov 2023
- Completed a comprehensive one-year industry-focused training program covering MVC architecture, REST APIs, and database design.
- Built, tested, and debugged backend application structures using Java and MySQL databases.
- Acquired deep understanding of Git version control, CI/CD fundamentals, unit testing, and Agile workflows.
JavaSpring BootREST APIsMySQLGit & GitHubAgile MethodologiesCI/CD
04 // Technology Matrix
Skill Network
Select Hub Category
Hub:Languages
JavaExpert
Linked Systems:
TransitOpsSentraOps
PythonAdvanced
Linked Systems:
RuralGPTEcoSphere
JavaScript / TypeScriptIntermediate
Linked Systems:
SentraOps
SQLAdvanced
Linked Systems:
TransitOpsSentraOps
Interactive network systemSync active
05 // Certified Verifications
Certificates & Licenses
Oracle
VerifiedOracle Certified Professional: Java SE 21 Developer
Java SE 21Object-Oriented DesignConcurrencyJVM Architecture
Issue Date: 2025Credential
Amazon Web Services (AWS)
VerifiedAWS Educate Machine Learning Foundations
AWS ML StackSageMaker BasicsData EngineeringModel Training
Issue Date: 2024Credential
Amazon Web Services (AWS)
VerifiedAWS Educate Introduction to Generative AI
Foundation ModelsBedrock OverviewPrompt DesignTransformer Architectures
Issue Date: 2024Credential
Amazon Web Services (AWS)
VerifiedAWS Educate Introduction to Cloud 101
EC2S3IAM RolesServerless Architectures
Issue Date: 2024Credential
Microsoft
VerifiedMicrosoft Certified: Azure Basics
Azure CloudSubnetsResource ManagementIdentity Security
Issue Date: 2024Credential
06 // MDX Technical Journal
Technical Blog
AI & Inference
July 12, 20266 min read
Serving Quantized Llama Models on Consumer Edge Hardware
A technical deep dive into running 8B parameters models locally on consumer GPUs. Optimizing prompt context lengths and retrieval overlays to maximize offline accuracy.
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Systems & Backend
June 28, 20268 min read
Optimizing High-Concurrency Database Operations in Spring Boot
How to prevent database locking and thread starvation in high-throughput APIs. Decoupling telemetry processing using reactive design models and memory queues.
Read technical post