Hi, I'm Abhishek
Full Stack Developer | AI/MLDesigning & Building scalable, High-performance distributed system with AI-driven architectures and production-ready AI infrastructure.
Solving for complexity,
building for scale.
About Me
Hi, I’m Abhishek Yadav, a passionate Full Stack Developer focused on crafting modern, responsive, and scalable digital experiences. I work with React/Next.js, Node.js/Django, Express, and MongoDB/My SQL to transform ideas into production-ready applications.
As a Developer, I continuously explore emerging trends in System architecture, cloud deployment, and AI integration to build systems that are both visually compelling and technically resilient.
I specialize in designing high-throughput backend services and AI-driven platforms using system design principles and a bias for execution, ensuring technology choices translate directly into measurable business impact.
Design Principles at Scale
API First & Performance
Favoring gRPC/Protobuf for internal service communication to minimize payload size and serialization overhead. Implementing strictly versioned REST APIs for external consumers with comprehensive OpenAPI documentation.
- - Throttling & Rate Limiting
- - Payload Compression
- - Circuit Breaker Pattern
Observability & Resilience
"If it's not monitored, it doesn't exist". Leveraging OpenTelemetry for distributed tracing to debug p99 latency spikes across microservices. Designing for failure using Bulkheads and Graceful Degradation.
- - RED/USE Metrics Tracking
- - Chaos Engineering Tests
- - Automated Rollback Logic
Data Strategy & Cost
Choosing the right tool for the job: Cassandra for heavy writes, PostgreSQL for structured relational needs, and Redis for volatile low-latency data. Optimizing cloud spend through intelligent caching and workload containerization.
- - Multi-region Replication
- - Semantic Caching Layers
- - FinOps Cost Optimization
Engineering Values
Ownership & Bias for Action
I don't just write code; I own the lifecycle. From discovery and design to deployment and post-launch observability. I thrive in ambiguity and move fast to validate hypotheses while maintaining high quality bars.
Data-Driven Decisions
Architectural choices should be rooted in evidence. I utilize load testing (k6), profiling, and metrics to justify technology transitions or performance optimizations.
Security & Privacy First
In a cloud-native world, security isn't an afterthought. I implement Zero Trust principles, rigorous IAM policies, and encryption at rest/transit by default.
Customer Obsession
Engineering exists to solve user problems. I work closely with product and design to ensure technical constraints never overshadow user experience.
Open Source & Research
Kubernetes Upstream Contribution
Contributed to the **SIG-Scheduling** group, optimizing the kube-scheduler's cache synchronization logic. My PR reduced memory overhead during high-churn pod deployments by **15%**.
Research & Certs
Direct Communication
LET'S BUILD THE
NEXT DIMENSION.
Available for technical consultations, system architecture reviews, and high-impact engineering leadership roles.