- πΌ Software Engineer at AKSiQ (Jan 2026 β Present)
- π§ Backend & Distributed Systems Specialist with strong focus on .NET Core, Enterprise Microservices, and Cloud-Native Architectures
- π€ Deeply interested in Agentic AI, LLMs, and RAG-based enterprise solutions
- ποΈ Advocate of Clean Architecture, SOLID principles, and scalable system design
- π§βπ« Mentored 5+ interns and junior engineers through production-grade onboarding and architecture reviews
Jan 2026 - Present
June 2024 β Jan 2026
- Developed and maintained high-performance backend APIs using ASP.NET Core, PostgreSQL, and EF Core
- Led architectural consistency across microservices, reducing technical debt and improving maintainability
- Enabled scalable inter-service communication using gRPC and NATS
- Orchestrated Docker and Kubernetes deployments with readiness/liveness probes
- Introduced unit testing strategies and improved sad-path coverage for critical workflows
- Collaborated cross-functionally with Analytics, UI/UX, SDET, DevOps, and stakeholders
- Delivered L3 production support, resolving slow queries, hotfixes, and live incidents
- Actively participated in requirement analysis, WBS refinement, and documentation
BS Computer Science
.NET 8 Β· Redis Β· gRPC Β· Ocelot
- Designed reusable core architecture adopted across multiple enterprise systems
- Implemented JWT-based Auth, RBAC, Redis session manager, and notification gRPC service
- Introduced FluentValidation, Idempotent Keys, Quartz Scheduler, and distributed locks (Redlock)
- Conducted POCs for Nginx and API Gateway strategies prior to Kubernetes migration
.NET API Β· Postgres Β· Kubernetes Β· PowerBI
- Refactored a tightly coupled legacy monolith under production pressure
- Designed RBAC system using optimized in-memory data structures
- Delivered delayed referral feature integrating payment gateways and wallets via gRPC
- Optimized cron-based workflows and supported PowerBI CDC-based reporting
.NET 8 Β· SignalR Β· NATS Β· Kubernetes
- Built real-time chat using SignalR (SSE + sockets)
- Integrated NATS JetStream for low-latency notifications
- Delivered clientβs most praised feature with minimal QA feedback
.NET 8 Β· Redis Β· Quartz Β· gRPC Β· Kubernetes
- Architected foundational microservices (Auth, WorkCenter, Cronjob, Ordering)
- Optimized Redis performance reducing scan times from minutes to seconds
- Designed custom IQueryable extensions for high-performance filtering
.NET 8 Β· Redis Β· RAG Β· Agentic AI
- Refactored AI prototype into enterprise-grade, package-free .NET template
- Implemented Redis-backed agent memory with LLM FinOps optimizations
- Prototyped multitenancy and evaluated OIDC SSO & LinkedIn integrations



