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Swayam Swaroop Mishra

Backend Software Engineer | Distributed Systems | FastAPI, Node.js, AWS | Concurrency & AI Infrastructure

Pune District

5+ years of work experience

Scitara Corporation
Jan 20233 yrs 8 mosPresent

Pune District

Backend engineer on Scitara's Scientific Integration Platform, connecting lab instruments, apps, and data systems for regulated (GxP) industries. I focus on concurrency, distributed workflows, and fault tolerance — reliable data flow under concurrent load. Selected work: • Deadlock-free file operations — Built a folder-operations engine (copy/move/delete/rename) using per-folder mutual exclusion with canonical global lock ordering (provably no circular waits). Verified at 128K concurrent bidirectional ops with zero deadlocks; independent directories run 7–10× faster than a single global lock. • On-prem ↔ cloud request bridge — Engineered a stateless HTTP redirect-based long-polling mechanism letting cloud services reach on-prem instruments across a firewall, holding no open connections. Each in-flight request is ~370 bytes of state, scaling to 10,000 concurrent requests in ~3.5 MB — bounded by memory, not sockets or threads. • Bridge security & resilience — Hardened the flow with single-use per-hop rotating tokens, a bounded 60-hop redirect chain, and a background sweep that reclaims orphaned state from disconnected clients — closing replay windows and preventing unbounded state growth. • Idempotency under load — Implemented a lock-free atomic claim/release (compare-and-set on a concurrent map) so a request can't be processed twice under concurrent fulfillment, without blocking on a lock. • High-throughput file handling — Scaled file-handling capacity ~100× (~10 MB → ~1 GB) via a streaming file-management service on Fastify/Node.js, for reliable transfer of large data files across services. • Agentic AI platform — Built an internal Claude Code platform codifying a 4-stage connector SDLC (create → design → implement → validate) with reusable JSON manifests. Delivered 5 GxP connectors (2 production, 3 prototypes), improved throughput ~2.5×, and cut cycle time ~60%.
Intel Corporation
May 20217 mosNov 2021

Folsom, CA

* Built a monitoring dashboard using Splunk, reducing incident response time by ~60%.
Intel Corporation
Jun 20201 yrMay 2021

Santa Clara County, CA

* Developed a full-stack tool to streamline workflows, reducing request processing time by ~30%. * Automated manual processes, saving 800+ engineering hours annually.
Intel Corporation
Jun 20193 mosAug 2019

Chandler, AZ

* Reduced verification turnaround time by 30% by building a new scheduling system.

Swayam’s AI Stack

antigravity
antigravity
cursor
cursor
opencode
opencode

Education

San José State University

Master of Science - MS, Computer Engineering

San José State University

20182 yrs2020
Scaler

Computer Science

Scaler

20222022

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Headline

Backend Software Engineer | Distributed Systems | FastAPI, Node.js, AWS | Concurrency & AI Infrastructure

About

As a Software Engineer at Scitara Corporation, I contribute to the development of scalable, reliable backend infrastructure and high-performance file management systems. My work focuses on concurrency-safe operations, idempotent workflows, and secure communication between cloud and on-premise systems, enhancing distributed workflows. With a Master of Science in Computer Engineering from San Jose State University, I specialize in distributed systems, concurrent programming, and Docker. My goal is to combine technical expertise and a passion for scalable solutions to design efficient, fault-tolerant systems that drive innovation.

Location

Pune District

AI stack

antigravity

cursor

opencode

Work experience

Software Engineer at Scitara Corporation, Jan 2023 - Present · 3 yrs 8 mos, Pune District, Backend engineer on Scitara's Scientific Integration Platform, connecting lab instruments, apps, and data systems for regulated (GxP) industries. I focus on concurrency, distributed workflows, and fault tolerance — reliable data flow under concurrent load. Selected work: • Deadlock-free file operations — Built a folder-operations engine (copy/move/delete/rename) using per-folder mutual exclusion with canonical global lock ordering (provably no circular waits). Verified at 128K concurrent bidirectional ops with zero deadlocks; independent directories run 7–10× faster than a single global lock. • On-prem ↔ cloud request bridge — Engineered a stateless HTTP redirect-based long-polling mechanism letting cloud services reach on-prem instruments across a firewall, holding no open connections. Each in-flight request is ~370 bytes of state, scaling to 10,000 concurrent requests in ~3.5 MB — bounded by memory, not sockets or threads. • Bridge security & resilience — Hardened the flow with single-use per-hop rotating tokens, a bounded 60-hop redirect chain, and a background sweep that reclaims orphaned state from disconnected clients — closing replay windows and preventing unbounded state growth. • Idempotency under load — Implemented a lock-free atomic claim/release (compare-and-set on a concurrent map) so a request can't be processed twice under concurrent fulfillment, without blocking on a lock. • High-throughput file handling — Scaled file-handling capacity ~100× (~10 MB → ~1 GB) via a streaming file-management service on Fastify/Node.js, for reliable transfer of large data files across services. • Agentic AI platform — Built an internal Claude Code platform codifying a 4-stage connector SDLC (create → design → implement → validate) with reusable JSON manifests. Delivered 5 GxP connectors (2 production, 3 prototypes), improved throughput ~2.5×, and cut cycle time ~60%.

Software Engineer at Intel Corporation, May 2021 - Nov 2021 · 7 mos, Folsom, CA, * Built a monitoring dashboard using Splunk, reducing incident response time by ~60%.

Software Engineer Intern at Intel Corporation, Jun 2020 - May 2021 · 1 yr, Santa Clara County, CA, * Developed a full-stack tool to streamline workflows, reducing request processing time by ~30%. * Automated manual processes, saving 800+ engineering hours annually.

Software Engineer Intern at Intel Corporation, Jun 2019 - Aug 2019 · 3 mos, Chandler, AZ, * Reduced verification turnaround time by 30% by building a new scheduling system.

Education

Master of Science - MS, Computer Engineering, San José State University

Computer Science, Scaler