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A showcase of production systems and technical initiatives. From search infrastructure to distributed architectures.
🌟 Featured Projects
Search Infrastructure Overhaul
Problem & Context:
The existing job search system struggled to deliver relevant results at scale. Increasing data volume and complex queries led to slow response times and poor user discovery.
Technical Solution:
- Designed and implemented an Elasticsearch architecture with index aliasing, custom analyzers, and relevance tuning.
- Optimized indexing by flattening document structures and rewriting mappings and queries.
- Introduced auto-scaling policies and observability with Grafana for performance insights.
Role & Responsibilities:
Led the end-to-end technical design and implementation, collaborating with product and data science teams. Mentored backend engineers and drove architectural decisions for relevance and cost efficiency.
Technologies Used:
Impact & Results:
Reduced memory footprint from 192 GB → 12 GB, improved search p95 latency, and boosted conversion metrics by 15%, while cutting infrastructure costs by 50%.
Microservices Migration Initiative
Problem & Context:
A monolithic architecture had become a bottleneck for team scalability, deployments, and system resilience.
Technical Solution:
- Defined clear service boundaries and APIs for critical components.
- Introduced gRPC-based inter-service communication and service mesh for observability and reliability.
- Built deployment automation pipelines and standardized logging/metrics across services.
Role & Responsibilities:
Served as technical lead, driving architecture strategy, mentoring teams during migration, and setting best practices for service ownership and CI/CD adoption.
Technologies Used:
Impact & Results:
Increased deployment frequency by 3×, improved system uptime and fault isolation, and enhanced team autonomy and delivery velocity.
⚙️ Additional Projects
Unified On-Call Monitoring Dashboard
Problem & Context:
During on-call shifts, engineers had to switch between multiple dashboards (services, Redis, Elasticsearch, etc.) to triage incidents. This fragmentation made it difficult to identify the root cause quickly, increasing mean time to mitigation.
Technical Solution:
- Audited all critical business APIs and categorized them into P0, P1, and P2 buckets for prioritization.
- Set up unified monitoring contexts to correlate metrics across services and infrastructure layers.
- Built a centralized Datadog dashboard displaying pod health, Redis memory and CPU usage, Elasticsearch latency, and API response percentiles (p75, p90, p95, p99).
Role:
Impact:
Significantly reduced incident triage time and improved on-call efficiency by enabling rapid root-cause identification.
Performance Optimization Initiative
Problem & Context:
A key user-facing API experienced latency spikes under production load, impacting user experience and downstream services.
Technical Solution:
- Profiled API endpoints and optimized query performance.
- Introduced Redis-based caching and pagination strategies.
- Tuned PostgreSQL indices and connection pooling.
Role:
Acted as performance engineer and optimization lead, conducting load tests and driving production rollout improvements.
Impact:
Reduced median latency by 65%, improved reliability, and lowered infrastructure utilization during peak load.
Developer Experience Platform
Problem & Context:
Developers faced inconsistent tooling and slow deployment pipelines, leading to productivity losses.
Technical Solution:
- Designed an internal developer platform with integrated CI/CD, service templates, and observability.
- Centralized logging, metrics, and deployment dashboards.
- Standardized build and release workflows across teams.
Role:
Led a cross-functional platform team to build and evangelize tooling adoption. Defined DevEx standards and trained teams.
Impact:
Reduced average deployment time by 40% and improved developer satisfaction and onboarding experience.
Interested in Collaboration?
I'm always excited to work on challenging backend systems, search infrastructure, and distributed architectures. Let's build something together.