Abhiyan Acharya
@aveey
AI/ML and automation developer. 4 years. LLMs, AWS, FastAPI. Open source contributor. Looking for senior roles building AI products.
What I'm looking for
I am an AI Backend Engineer with 4 years of experience in Python, AWS serverless, and LLM systems. I currently lead backend development at Everest AI Hub LLC, building text-to-SQL pipelines, document chat interfaces, and API architecture. I reduced deployment time from 30 minutes to 5 minutes and cut LLM inference latency from 8 seconds to 3–4 seconds.
Prior to that, I spent 3 years as an Automation Developer at ScrappyCito, a search engine company. I built test automation for a 100,000-line shell script codebase, achieving an 85% test success rate and 80% performance gains. I also contributed merged pull requests to open-source projects, including tomasohara/shell-scripts and tomasohara/mezcla.
I built ShallNotCrash, an emergency landing guidance system for the FlightGear simulator, using a double-triage ML model and Telnet communication. It plans descent trajectories to within 50 meters of designated landing zones. I am seeking senior roles where I can own backend AI infrastructure and continue contributing to open source.
Experience
Work history, roles, and key accomplishments
Automation Developer
ScrappyCito
Apr 2022 - Present (3 years 11 months)
As a Freelance Automation Developer, I developed and tested Linux-based utilities using Python and Bash, focusing on automation and system-level scripting. I streamlined browser-based workflows with Selenium and built custom Python web scrapers, enhancing efficiency in data processing and task automation.
Junior Web Developer
PyMC Labs
May 2022 - Nov 2022 (6 months)
In my role as a Junior Web Developer, I maintained and updated a Lektor-built website, collaborating with data scientists to enhance project outcomes. I expanded my technical expertise in static site generation and Git workflows.
Education
Degrees, certifications, and relevant coursework
National College of Computer Studies
Bachelor of Science, Computer Science and Information Technology
2022 - 2026
Learned the basics of UI/UX design and built simple prototypes using Figma. Studied data analysis and worked with geodata in hands-on sessions. Gained beginner-level experience with machine learning and image classification using deep learning. Attended extra classes to understand how to use the .NET framework for basic applications.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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