YASH
SACHANSoftware Engineer
I'm Yash Sachan — backend developer at Zanskar. I build high-throughput distributed infrastructure and enjoy competitive programming.
YASH
SACHANSoftware Engineer
WHERE ENGINEERING
MEETS PRECISION —
INFRASTRUCTURE OF
ENDLESS SCALE
FROM DEEP ROOTS,
PERFORMANCE
DRAWS ITS
STRENGTH
FOUNDATION
DESIGNED FOR
GROWTH
→ INFRA ENGINEERING
WORK HISTORY
ZANSKAR SECURITIES
Analyst · Software Engineer
Building sub-millisecond order execution infrastructure for Nubra — an in-house fintech trading platform serving retail and institutional users.
- Designed low-latency Golang services using advanced concurrency patterns — goroutines, channels, and worker pools — for high-frequency trading workloads
- Built batch-based WebSocket pipelines that aggregate and stream market & trade data in real time, cutting network overhead and lifting client-side throughput
- Used NATS JetStream for durable event streaming and integrated Python alerting pipelines for live monitoring
- Distributed order book on custom ring-buffer structures, cutting GC pressure ~40% and P99 latency 35% via Go pprof profiling
- Integrated NSE, BSE, MF, and IPO platforms over SOAP-based and Open APIs, enabling real-time data ingestion and order workflows
- Engineered core Nubra modules — order management, portfolio tracking, and real-time market feeds, plus eDIS, Early Pay-in & Pledge settlement flows
ONEFINNET
Software Engineering Intern
Worked across the stack — Next.js frontend and high-performance Golang backend — on a fintech platform under production load.
- Contributed to the frontend architecture using Next.js and Material UI
- Engineered high-performance Golang backend services leveraging goroutines and channels for concurrent request handling — improving throughput by 25% and reducing latency
- Developed an internal chatbot with Go and Azure AI Services, using concurrency patterns for parallel workflow execution and multi-user interactions, cutting manual tasks by 21%
- Enhanced observability with Grafana, Prometheus, and Loki — identified slow endpoints and optimised hot paths
MODULUS TECHNOLOGIES
Software Engineering Intern
Modernised a billing management platform — front to back — for faster loads and a more robust data layer.
- Migrated the billing management system from React to Next.js, reducing page load times by 30%
- Designed and implemented a robust backend architecture using PostgreSQL, FeatherJS, and GCP
- Built typed, responsive UI with TypeScript and Tailwind CSS across the billing dashboard
Competitive Programming
- LeetCode Guardian — Rating 2200+
- CodeChef 4★ — Rating 1850+
- 800+ algorithmic problems solved
NDA SSB Recommended
- Cleared NDA SSB — All India Rank 193
- Leadership under high-pressure scenarios
- Strategic thinking in officer-selection assessments
TECHNICAL STACK
Go
PRIMARY LANGUAGEWhat I build production systems in — trading engines, real-time pipelines, distributed services. Chosen for its concurrency model and predictable latency under load.
C++
SYSTEMS LANGUAGEFor the performance-critical paths — order books, memory-tight engines — and the language behind my competitive programming. Raw control, zero-cost abstractions.
ABOUT ME
Hey, I'm Yash
Backend Developer · Distributed Systems · HFT Specialist
I build software that handles serious scale — trading engines, distributed pipelines, real-time infrastructure. I care deeply about performance, correctness, and clean architecture. When I'm not profiling Go binaries, I'm in the gym or grinding algorithms.
High-performance order execution & trading infrastructure
@ Zanskar Securities
B.Tech Computer Science and Engineering
IIIT Sonepat, Haryana
"Performance is a feature, not an afterthought. Great software is invisible — it just works."
COLLAB_REQUEST // OPEN
Want to build something impactful?
yashsachan321@gmail.com
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VERIFIED CERTIFICATES
MY APPROACH
PHASE // 01
Architecture
Scalable system design, database selection, and low-latency architectural planning.
PHASE // 02
Development
High-performance gRPC/REST APIs, cloud infra, and distributed service integration.
PHASE // 03
Optimization
Latency reduction, memory profiling, and stress testing for peak traffic reliability.
PHASE // 04
Deployment
CI/CD automation, Kubernetes orchestration, and proactive system monitoring.