shiva raghav
@shivaraghav
Early-career software engineer building backend-heavy, event-driven systems—shipping reliable features with measurable impact.
What I'm looking for
I’m an early-career software engineer pursuing an M.S. in Computer Science, and I enjoy owning backend-heavy systems end-to-end—from design and implementation to production reliability. I’ve shipped production LLM and SaaS features in ambiguous environments by making pragmatic technical decisions and focusing on measurable outcomes.
At Mermory, I owned a production LLM ingestion pipeline for 500+ daily users and improved reliability from 70% to 98% using retries, idempotency guards, and fault isolation. I also built an OCR processing pipeline with Node.js child processes to reduce main-thread blocking and improve API response times by ~40%, and I shipped an autonomous document ingestion agent that processed 12,000+ items, eliminating ~80% of manual content creation work.
At Agnikul Cosmos, I decomposed a monolithic subsystem validation workflow into async GraphQL microservices, improving mission-critical throughput by 35%, and I built internal React + TypeScript tooling to reduce pre-launch triage time by 25%. I’ve also increased automated test coverage from 30% to 80% via unit, integration, and end-to-end tests in CI, and I’m currently running real-user projects like FlowTask, with 99.5% uptime backed by structured logging, queue health checks, alerting, feature flags, and CI/CD releases.
Experience
Work history, roles, and key accomplishments
Software Developer Intern
Mermory
Jul 2025 - Dec 2025 (5 months)
Owned the design and delivery of a production LLM ingestion pipeline, improving reliability from 70% to 98% via retries, idempotency guards, and fault isolation. Built an OCR pipeline using Node.js child processes and shipped an autonomous document ingestion agent; added content-hash deduplication to reduce token spend by 50%.
Software Developer
Agnikul Cosmos
Jul 2023 - Jun 2024 (11 months)
Owned and refactored a subsystem validation workflow by decomposing a monolithic system into async GraphQL microservices, improving validation throughput by 35%. Built internal React/TypeScript tooling for debugging subsystem dependency graphs and increased automated test coverage from 30% to 80% via CI pipelines.
Education
Degrees, certifications, and relevant coursework
Illinois Institute of Technology
Master of Science in Computer Science, Computer Science
2024 - 2026
Grade: GPA: 3.80 / 4.00
Pursuing a Master of Science in Computer Science with a GPA of 3.80/4.00. Coursework includes Advanced Database Organization, Data Structures and Algorithms, and Operating Systems.
College of Engineering, Guindy Anna University
Bachelor of Engineering, Engineering
2019 - 2023
Grade: GPA: 3.80 / 4.00
Earned a Bachelor of Engineering with a GPA of 3.80/4.00. Coursework included computer vision, machine learning, and object oriented design.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Website
shiva-raghav.comPortfolio
flowtask.shiva-raghav.comJob categories
Skills
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