I build scalable backend systems, cloud-native infrastructure, and performance-driven distributed applications. My work focuses on low-latency engineering, infrastructure automation, algorithmic optimization, and quantitative research.
- π Grand Finalist β Meta PyTorch OpenEnv Hackathon
- π WorldQuant IQC National-Level Qualified with Bronze Level.
- β‘ Open Source Contributor at Dokploy
- π§ 300+ DSA Problems Solved Across Competitive Platforms
- βοΈ Backend & Cloud Engineering Focused (AWS + Distributed Systems)
| Domain | Technologies |
|---|---|
| Languages | C, C++, TypeScript, Python, Java |
| Backend | Node.js, Express.js, REST APIs, WebSockets, Prisma |
| Cloud & DevOps | AWS (EC2, ECS, ASG, ALB, SQS), Docker, Kubernetes, Linux, Nginx, CI/CD |
| Databases | PostgreSQL, MongoDB |
| Observability | Prometheus, Grafana, New Relic |
| Core CS | DSA, Operating Systems, Distributed Systems, Networking |
Ranked among top teams from 52,000+ developers, building reinforcement-learning based environmental simulation systems.
Ranked top 20% globally with bronze level.
Created alpha factors involving:
- Price-volume relationships
- Volatility structures
- Ranking operators
- Signal decorrelation
- Market-neutral modeling
Contributed infrastructure improvements to the deployment platform ecosystem:
- Added configurable Node.js version support
- Integrated Node 25 runtime compatibility
π GitHub: github.com/hitendras510/OpenCloud-SRE
- Designed reliability-focused backend infrastructure for distributed systems
- Built observability-oriented workflows for scalable deployments
- Focused on fault tolerance and infrastructure optimization
π GitHub: github.com/hitendras510/EcoNav-AI
- Developed OpenEnv-compliant reinforcement learning environment
- Built agent-based routing and reward optimization systems
- Selected as Grand Finalist in Meta PyTorch OpenEnv Hackathon
π GitHub: github.com/hitendras510/GDP--Hackathon
- Built pipelines for detecting and mitigating hidden model bias
- Implemented real-time fairness evaluation workflows
- Designed explainability-focused evaluation architecture
