# Chayan Shah

> SWE Fetch.ai | Ex-Amazon | 2+ yrs Software Engineering Experience | MSSE @ SJSU | BTech @ IIT Dhanbad | 3× Hackathon Winner (LAHacks, HackDavis, SFHacks) | Seeking Software Engineer roles

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/chayan

I’m a Master’s student in Computer Software Engineering at San Jose State University (B.Tech in CSE from IIT Dhanbad) with hands-on experience building scalable systems, AI/ML platforms, and impactful products across startups, enterprises, and hackathons.

Most recently, I interned at Amazon as a Software Development Engineer, where I owned the end-to-end design of a containerized experimentation platform using SageMaker, Docker, ECR, and S3 — reducing setup time from days to minutes and driving adoption across forecasting teams. I’m currently interning at Fetch.ai, contributing to decentralized AI agent frameworks.

Previously, at Micro1, I improved LLM model accuracy by 30% through targeted evaluation, and at Cogoport, I engineered secure, high-scale backend and frontend systems supporting 500+ daily transactions.

Outside work, I’m a 3x hackathon winner in 2025 — including LAHacks (2nd overall among 200+ teams & Fetch.ai Track Winner), HackDavis, and SFHacks — where I led teams building AI-powered products in health, accessibility, and productivity.

I thrive at the intersection of AI, scalable systems, and human-centered design, and I’m eager to keep building technology that solves meaningful real-world problems.

## Work Experience
### Software Engineer @ Fetch.ai
Jan 2025 – Present | San Francisco Bay Area
• Building a Multi-Agent Marketing Orchestrator using Fetch.ai’s uAgents framework — automating end-to-end marketing workflows for small businesses.
• Working with tools like CrewAI, LangGraph, and ASI-1 Mini to design and prototype intelligent agents for content generation, competitor research, and campaign scheduling.
• Collaborating with Fetch.ai’s marketing and product teams to understand real-world pain points, refine agent design, and prepare for deployment on Agentverse.

### Software Development Engineer @ Amazon
Jan 2025 – Jan 2025 | Greater Seattle Area
• Led the end-to-end development of a containerized experimentation environment using Amazon SageMaker, Docker, ECR, and S3 — replacing fragmented local setups with a fully reproducible, cloud-based alternative.
• Reduced setup time from many hours (or even days) to just minutes, enabling faster iteration and collaboration across teams.
• Drove the full product lifecycle — from gathering user and system requirements, designing system architecture, implementing infrastructure, to writing detailed SOPs and onboarding scientific users.
• Collaborated closely with data scientists and engineering stakeholders to validate use cases, incorporate feedback, and ensure seamless adoption across the org.
• This experience gave me hands-on exposure to building platform-level tooling at scale and reinforced my interest in solving foundational engineering problems that directly impact scientific productivity.

### Software Engineer @ micro1
Jan 2024 – Jan 2024 | Los Angeles, California, United States
• Evaluated and selected best responses from over 500 AI-generated outputs from Large Language Models (LLMs), enhancing model accuracy by 30% through targeted feedback.
• Conducted qualitative assessments of AI-generated content to ensure high relevance and usability, contributing to the overall improvement of the AI’s performance and user experience.

### Software Development Engineer @ Cogoport
Jan 2022 – Jan 2023 | Mumbai, Maharashtra, India
• Developed from scratch an in-house data aggregation and visualization application suite, leading to a 30% improvement in data insights and usability for over 500 employees.
• Implemented API encryption and designed a secure user token system for backend, overseeing entire development process from initial setup to deployment.
• Utilized Python FastAPI, Celery, Ruby on Rails, PostgreSQL, SQLAlchemy ORM, and ReactJS to engineer scalable backend systems and dynamic frontend applications, supporting 500+ transactions daily.
• Created and optimized query-heavy and visualization APIs in Ruby for an admin-facing Ruby on Rails backend, improving efficiency by 75%.

### Software Development Engineer @ Rebhu Computing
Jan 2021 – Jan 2021 | Remote
◦ Refactored legacy code to Node.js 14 and integrated with REST APIs.
◦ Developed and maintained a Chromium browser extension to enhance user functionality and performance.
◦ Built the UI for a browser extension using VueJS to deliver a responsive and intuitive user experience.
◦ Implemented GitLab CI/CD pipelines for DevOps automation to streamline deployment and improve continuous integration.


## Education
### Master of Science - MS in Computer Software Engineering
San José State University

### Bachelor of Technology - BTech in Computer Science
Indian Institute of Technology (Indian School of Mines), Dhanbad

### St Paul High School

### St Joseph Convent School Khandwa


## Contact & Social
- LinkedIn: https://linkedin.com/in/chayanshah7

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Source: https://flows.cv/chayan
JSON Resume: https://flows.cv/chayan/resume.json
Last updated: 2026-04-10