I build intelligent
systems.
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.
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
03 // Engineering Portfolio
Featured Systems
SentraOps
All-in-one operations dashboard for enterprises with built-in LLMOps guardrails and real-time monitoring.
RuralGPT
High-performance local AI assistant tailored for offline agricultural advisory and localized systems.
TransitOps
Smart fleet dispatch platform optimized for high-concurrency tracking and route orchestration.
EcoSphere
ESG compliance analyzer utilizing local document parsers and semantic checking matrices.
02 // Historical Milestones
Professional Timeline
Bachelor of Technology (B.Tech)
Saveetha Engineering College
- Specializing in Artificial Intelligence and Machine Learning.
- Focusing on system-level programming, neural network architectures, data science, and distributed systems.
Full Stack Developer Intern
Enyard Private Limited
- 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.
Product Development Intern
Lumel Technology
- 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.
Software Trainee
Freshworks Software Academy
- 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.
04 // Technology Matrix
Skill Network
Select Hub Category
Linked Systems:
Linked Systems:
Linked Systems:
Linked Systems:
05 // Certified Verifications
Certificates & Licenses
Oracle Certified Professional: Java SE 21 Developer
AWS Educate Machine Learning Foundations
AWS Educate Introduction to Generative AI
AWS Educate Introduction to Cloud 101
Microsoft Certified: Azure Basics
06 // MDX Technical Journal
Technical Blog
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.
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.