Suren is available for hire
Hire SurenSuren Abrahamyan
Verified Expert in Engineering
Back-end Developer
Cork, Ireland
Toptal member since October 12, 2021
Bio
Suren is a back-end and AI engineer with over 10 years of experience building high-performance applications and intelligent AI systems. He specializes in Python, Django, FastAPI, cloud architectures, and modern AI technologies, including LLMs, agentic AI, multi-agent systems, and RAG. Suren has developed enterprise AI platforms for financial services and semiconductor engineering, focusing on scalable back-end architecture, workflow automation, and production-ready AI solutions.
Portfolio
Synopsys
Python, Rust, Qt, AI Agents, Agentic AI, AI Automation, RAG Systems...
Coventry University Services Limited - CU Services Limited
Django, Design Patterns, Databases, Python, JavaScript, MVC Design, Jinja
Qualcomm
Python, Django, Linux, Automation, Cadence, Git, GitHub, Jira, Jenkins, JSON...
Experience
- Python - 8 years
- Git - 5 years
- Django - 3 years
- Django REST Framework - 3 years
- React - 2 years
- Flask - 1 year
- Next.js - 1 year
- Docker - 1 year
Preferred Environment
Windows, Linux, Visual Studio Code (VS Code), PyCharm, Git, Bitbucket, Slack, Web Scraping, MacOS, Cursor AI
The most amazing...
...system I built is a Linux and Windows desktop AI platform featuring multi-agent orchestration, chat actions, and durable workflow execution.
Work Experience
Principal AI Engineer
2024 - 2026
Synopsys
- Architected the Maggi multi-agent AI platform, enabling autonomous collaboration across specialized agents for EDA, RTL, IP design, and hardware verification workflows.
- Designed an agentic AI framework that orchestrated planning, reasoning, tool execution, and knowledge retrieval to automate complex semiconductor engineering tasks.
- Developed domain-specific AI agents that accelerated IP development, design reviews, debugging, and engineering documentation across hardware and software teams.
- Built an enterprise RAG platform that indexed design specifications, engineering playbooks, and technical documentation, enabling context-aware AI assistance.
- Integrated LLMs with EDA tools, internal APIs, and automation frameworks to deliver intelligent design recommendations and engineering workflow automation.
- Implemented scalable orchestration services that coordinated multiple AI agents, enabling parallel execution, memory management, and autonomous task decomposition.
- Engineered AI-powered copilots that generated design flows, automation scripts, verification strategies, and engineering documentation with minimal human intervention.
Technologies: Python, Rust, Qt, AI Agents, Agentic AI, AI Automation, RAG Systems, Retrieval-augmented Generation (RAG), Workflow Automation, Langfuse, LangChain, LangGraph, Pydantic, Deep Agents, Desktop App, LLM Agents, ReAct Agents, SQL, DuckDB, GraphDB, AI Integration
Django Developer
2023 - 2024
Coventry University Services Limited - CU Services Limited
- Crafted a cutting-edge web app for a university research program, leveraging Django and Jinja for robust back-end solutions.
- Engineered advanced data structures and PostgreSQL database management, enabling seamless data analysis and survey structuring. Orchestrated CI/CD workflows with GitHub for efficient deployment on DigitalOcean.
- Executed thorough testing using automation, enhancing app reliability. Managed projects efficiently with GitHub tools, fostering collaboration. Facilitated seamless communication via Slack.
- Completed full testing of our applications through comprehensive automation tests. I also utilized GitHub project management tools to organize tasks and milestones efficiently, ensuring smooth collaboration and project delivery.
- Utilized GitHub and Git workflow principles and ensured continuous integration and deployment (CI/CD), streamlining our development process for maximum efficiency.
Technologies: Django, Design Patterns, Databases, Python, JavaScript, MVC Design, Jinja
Staff Software Engineer
2018 - 2024
Qualcomm
- Developed an app to deeply analyze hardware design processes and created tools to improve design quality and reduce time.
- Automated manual processes to improve the user experience.
- Tracked all bugs and created unit tests using Jira.
- Conceived and designed a web app to track hardware simulation results that is still in progress.
Technologies: Python, Django, Linux, Automation, Cadence, Git, GitHub, Jira, Jenkins, JSON, APIs, Python API, Data Scraping, Scraping, Architecture, Machine Learning, Artificial Intelligence (AI), Full-stack Development, Workflow Automation, Microsoft Excel, Automation Engineering
Django Full-stack Developer
2022 - 2022
SiteMatrix
- Developed a web app to buy and sell domains from all major domain providers. The admin user can control all transactions from the panel based on rich chart graphs, and customer users can register as solo traders or as a company to trade domains.
- Tracked and fixed bugs using Trello as the project management platform.
- Implemented the back end in Django 3.0 using Celery and RabbitMQ as the automation task system. The front end was implemented using the latest version of React.
Technologies: Python, Django, Django REST Framework, React, Vue, Celery, Redis, PostgreSQL, MySQL, Python API, Full-stack Development
Full-stack Developer
2022 - 2022
Sliding Door Wardrobes
- Developed a dynamic website for the company to present its product to clients and sell wardrobes.
- Created the web design and implemented it using React and Next.js.
- Built the back end for book appointments, brochure downloads by filling in client data, and a contact form using third-party packages.
Technologies: React, Next.js, SEO Tools, Web UI Design, EmailJS, Full-stack Development
Full-stack Developer
2021 - 2022
Site Matrix, LLC
- Developed REST API web huge app using Django. Implemented user auth services using JWT and Postgres as a database.
- Delivered microservices to retrieve domain data from domain management systems and trade domains based on that information.
- Developed the front end from scratch using React.
- Delivered async task management in Django using Celery and RabbitMQ.
- Added new features into a web app in the front and back end using Django and React.
- Tested apps using pytest and performed manual tests on the apps' front-end.
- Created a task management system to look at task running results from the admin panel.
Technologies: Python, Django, Django REST Framework, React, Vue, Celery, Redis, PostgreSQL, MySQL, RabbitMQ, Celery eCommerce, APIs, REST APIs, AsyncTask, Beautiful Soup, Admin Panels, Automation
Python/Agentic AI Developer
2021 - 2021
AuumAI Limited
- Architected a multi-agent AI platform that orchestrated specialized financial agents to analyze companies, markets, and filings, delivering accurate investment insights with autonomous task delegation.
- Designed an agentic RAG architecture using vector search, knowledge retrieval, and LLM reasoning to answer complex investment questions with source-backed, context-aware responses.
- Developed AI workflows that automated financial statement analysis, valuation research, and investment reporting, reducing manual analyst effort and improving decision speed.
- Integrated AWS Bedrock and advanced LLMs with custom tools, enabling secure enterprise AI capabilities, structured outputs, and automated financial decision support.
- Optimized AI inference pipelines through caching, prompt engineering, and workflow optimization, improving response quality, execution speed, and operational efficiency.
- Delivered an enterprise-ready AI platform that combined autonomous agents, retrieval, reasoning, and financial expertise to generate institutional-grade investment intelligence.
Technologies: Python, Workflow, Agentic AI, Orchestration, Apache Airflow, Cadence, AWS Step Functions, Google Cloud Composer, Argo Workflows, GitHub, Supabase, RAG Systems, Retrieval-augmented Generation (RAG), AI Automation, LLM Agents, AI Agents, Prompt Engineering, Multiagent Generative Systems (MAGs), Temporal, React, FastAPI, PostgreSQL, Alembic, GraphDB, ReAct Agents, Data Pipelines, Agentic RAG Systems, Google Cloud Platform (GCP), Kubernetes
Senior Support Engineer
2021 - 2021
FullScript - FSLV Holdings LLC
- Built end-to-end features for Fullscript’s medical lab automation platform, handling ingestion, parsing, and analysis of multi-format lab results.
- Used Django, Docker, and background pipelines to develop scalable back-end services and automation workflows.
- Contributed to the front end and built React interfaces for patients and practitioners to view and understand lab insights.
Technologies: Python, Django, React, JavaScript, AWS IAM, Pipelines, Medical Software, Workflow Automation, Microsoft Excel, Automation Engineering, Orchestration, Agentic AI, RAG Systems, Retrieval-augmented Generation (RAG), HL7, AWS IoT, Amazon Web Services (AWS), Back-end, Data Pipelines
Data Scraping Specialist
2021 - 2021
Primint Solutions LLC
- Conducted accuracy checks on obituary data using Groq and OpenAI LLM models. Leveraged Python, advanced scraping, and data extraction techniques to ensure precise and reliable results.
- Performed thorough obituary data validation using Groq and OpenAI LLMs. Implemented advanced scraping techniques and Python to ensure high-quality, accurate data extraction and verification.
- Used Groq and OpenAI LLM models with Python to validate obituary data. Applied advanced scraping and extraction methods to deliver accurate, reliable, and structured data for improved analysis.
Technologies: Data Scraping, Web Scraping, Architecture, Large Language Models (LLMs), GROQ, OpenAI, Beautiful Soup, Requests, Scraping, Python, Prompt Engineering, AI Automation, Workflow Automation, Microsoft Excel, Automation Engineering
Django Developer | Business Broker
2021 - 2021
Misfits Latam LLC
- Built a system that automates and structures sales data by combining AI, a robust back end, and cloud deployment. It ensures efficiency, accuracy, and scalability, driving better business decisions.
- Created a platform to scrape business sales data using LLM AI for structuring. Built with Django, PostgreSQL for data storage, and Celery/Redis for task management. Deployed on Google Cloud for seamless scalability and performance.
- Used AI and cloud technology, enabling the platform to automate sales data scraping and structuring. With reliable task management and scalable deployment, it helps businesses access critical insights effortlessly.
Technologies: Django, GitHub, Pandas, PostgreSQL, Google Cloud Platform (GCP), Scrapy, Selenium, Beautiful Soup, Google Sheets API, Cron, GROQ, OpenAI API, Google Cloud, AI Automation, Workflow Automation, Microsoft Excel, Automation Engineering
Django Developer | Business Broker
2021 - 2021
Misfits Latam LLC
- Created a robust web scraper using BeautifulSoup, Scrapy, and Selenium to identify businesses for sale on BizBuySell.com, meeting the client's specific criteria.
- Integrated the web scraper with the Cowboy tool, allowing users to initiate and customize scraping tasks based on their individual needs.
- Engineered a reliable system to store scraped data in a PostgreSQL database hosted on Google Cloud Platform, ensuring data integrity and easy access.
- Developed a system to regularly update a Google Sheets document with new data, handle duplicates, and mark removed listings, ensuring the sheet always reflected the most current information.
- Implemented functionality to export search results in both CSV and Excel formats using pandas, providing flexible data handling and reporting options.
- Designed and implemented an advanced AI-based scraper to enhance data extraction accuracy and efficiency, leveraging machine learning techniques for improved performance.
Technologies: Django, GitHub, Pandas, PostgreSQL, Google Cloud Platform (GCP), Scrapy, Selenium, Beautiful Soup, Google Sheets API, Cron, AI Integration, ChatGPT API, Requests, AI Scraping, Google Sheets, Automation Engineering
Full-stack Developer
2021 - 2021
Evan Brandes
- Crafted magic at Bookvid! Mastered Flask and SQL Alchemy to architect robust back-end systems.
- Integrated Vimeo and PayPal seamlessly for smooth payment processing. Leveraged Google's powerful deployment and server solutions to scale our services.
- Leveraged Google's top-notch deployment and task queue tools for efficient server management.
Technologies: APIs, Python, Flask, Vimeo API, PayPal API, SQLAlchemy, GCD, Google Task Queue, Pandas, AI Automation, Workflow Automation, Microsoft Excel, Automation Engineering, Agentic AI
Senior Python Developer
2021 - 2021
Global FoodService Inc
- Revolutionized our web app's capabilities by integrating AWS Lambda and bridge modules for dynamic web automation. Extracted valuable data from Google Shopping, seamlessly enriching our platform's offerings.
- Elevated our Django-based web app with AWS Lambda. Leveraged bridge modules to effortlessly extract and display Google Shopping data, enhancing our platform's utility and efficiency.
- Transformed our web app into a data powerhouse. Engineered AWS Lambda solutions paired with bridge modules, empowering seamless data extraction from Google Shopping. Our Django platform has evolved with enriched data offerings.
Technologies: Python
Software Developer
2015 - 2019
Freelance
- Delivered over 70 projects and apps related to image and video processing, web development, and big data mining and analysis.
- Managed my code after tests and deliveries. Tracked and fixed any bugs.
- Created object detection apps in real-time images and videos.
- Developed cipher and decipher algorithms using Cython and the latest scientific publications.
- Used Flask-Admin to develop an admin panel for a web app called Teamworks.
- Developed a REST API and search engine for a project called Adsfinder.
- Developed a full Django web app for the Crepundy company.
Technologies: Python, Qt, Flask, Flask-Admin, Django, Django REST Framework, REST APIs, Jinja, HTML5, CSS, JavaScript, Selenium, Scrapy, OpenCV, Admin Panels, Big Data, Selenium WebDriver, JSON, APIs, JSON REST APIs, Docker, MySQL, Git, GitHub, HTML, Data Scraping, Scraping, Web Scraping
Senior Hardware Automation Engineer
2017 - 2018
Synopsys
- Reduced the whole chip development from six to four months and achieved 20% faster overall result by developing tools to automate hardware design.
- Oversaw the delivery of a memory compiler on time with all scripts and hardware and of the required quality to ensure it could generate any memory configuration.
- Tracked all bugs and fixes for delivered tools and third-party libraries.
Technologies: Python, Tcl/Tk, Python API
Quality Assurance Engineer
2016 - 2017
Siemens
- Increased code stability and test coverage by performing manual QA testing of a place and route tool and developing automated tests.
- Tracked bugs and created tests for them to increase the app performance and stability.
- Oversaw the increase of test coverage from 35% to 75%.
Technologies: Python, Tcl, C++, Manual QA, QA Testing, QA Automation
Senior Hardware Engineer
2012 - 2016
Synopsys
- Developed memory compilers for cutting-edge technologies like TSMC and Samsung.
- Sped up hardware design creation and verification stages by developing automation scripts.
- Managed the memory compiler to deliver a high-quality design matching specification.
Technologies: Engineering, Electronics, Python, Tcl/Tk
Intern
2010 - 2010
Virage Logic
- Developed digital standard cells and conducted all required verifications.
- Tracked and fixed all issues related to hardware design.
- Delivered an entire library of digital cells to well-known companies like Samsung and Apple.
Technologies: Semiconductors, Electronics
Experience
Adsfinder
This is a Django REST API app for searching advertisements from the Irish digital market and as a back-end developer, I liaised with the front-end developer to integrate external tools needed for displaying rich information in the user dashboards and for the complete customization of data views.
Teamworks
Teamworks is a Flask-Admin app for connecting world-class athletes where I was a back-end developer liaised to develop admin views for users to interact with the whole user information and customize the admin front end to make it richer and more straightforward.
Crepundy
This project is a full Django app for representing and selling Crepundy wooden toys and as a full-stack developer, I created back and front end to display detailed information about Crepundy company’s products and static pages.
Managing Expenses
https://github.com/surenab/expenses-react-appThis is a React-based app that allows users to follow their expenses year after year. The users can add new costs and analyze their expenses via a chart and filtering functionality. It is a test project and I have tried to use React's front-end framework.
A Task Managing Tool
https://github.com/surenab/tasksThis is my second React test project for managing tasks. Users can add, change, and remove old and new tasks. I have used dynamic styling and CSS modules to achieve our goals. As a result, we have a very user-friendly web app.
Error Handling
https://github.com/surenab/react-error-handlingThis is a React test project that allows managing users. You can add and remove them. I have used the dynamic styling and CSS modules to achieve our goals. The aim of this app is to have a good error handling structure in the front end.
React Good-practice Login App
https://github.com/surenab/react-login-templateThis application was designed to be used as a template. It includes one of the best approaches or practices to do login management in a web app using React hooks and context variables. The login looks very nice and includes all validations.
Web App to Sell Wardrobes
https://www.slidingdoorwardrobes.ie/A React and Next.js web app to look at variations of wardrobes, book appointments, and purchase wardrobes. The app is fully customizable, and the administrator can interactively change its look. On the other hand, users can fill out the contact form to reach the owner and download brochures directly from the web app.
Education
2006 - 2010
Bachelor's Degree in Computer Engineering
State Engineering University of Armenia - Yerevan, Armenia
Certifications
JULY 2019 - PRESENT
Test-driven Development in Django
JUNE 2019 - PRESENT
Building a Paid Membership Site with Django
JUNE 2019 - PRESENT
Agile Foundations
OCTOBER 2013 - PRESENT
Learn to Program: The Fundamentals
Coursera
Skills
Libraries/APIs
OpenCV, REST APIs, Selenium WebDriver, Python API, Beautiful Soup, Requests, React, Vue, AsyncTask, Vimeo API, PayPal API, SQLAlchemy, Google Task Queue, Pandas, Google Sheets API, OpenAI API, Pydantic
Tools
Git, Microsoft Excel, PyCharm, Bitbucket, Slack, GitHub, Jira, Jenkins, Celery, RabbitMQ, Cron, Google Sheets, AWS IAM, Apache Airflow, AWS Step Functions, Google Cloud Composer
Languages
Python, C++, JavaScript, CSS, HTML5, SQL, Tcl/Tk, Tcl, HTML, GROQ, Rust
Frameworks
Django, Django REST Framework, Selenium, Flask, Jinja, Qt, Scrapy, Next.js, Alembic, LangGraph
Paradigms
DevOps, Automation Engineering, Agile, Test-driven Development (TDD), Automation, Web UI Design, Design Patterns, MVC Design
Platforms
Linux, Docker, Windows, Celery eCommerce, EmailJS, Visual Studio Code (VS Code), Google Cloud Platform (GCP), Langfuse, MacOS, AWS IoT, Amazon Web Services (AWS), Kubernetes
Storage
PostgreSQL, JSON, MySQL, Redis, Databases, Google Cloud, Data Pipelines
Other
Data Scraping, Scraping, Web Scraping, Workflow Automation, Orchestration, RAG Systems, Retrieval-augmented Generation (RAG), APIs, Full-stack Development, AI Automation, Agentic AI, Paid Memberships Pro (PMPro), Membership Sites, FPGA, Electronics, Semiconductors, Semiconductor Testing, Big Data, Admin Panels, Engineering, Manual QA, QA Testing, QA Automation, Flask-Admin, Cadence, JSON REST APIs, Styled-components, SEO Tools, Architecture, Machine Learning, Artificial Intelligence (AI), GCD, AI Integration, ChatGPT API, AI Scraping, Large Language Models (LLMs), OpenAI, Prompt Engineering, Cloudflare, Pipelines, Medical Software, Workflow, Argo Workflows, Supabase, LLM Agents, AI Agents, Multiagent Generative Systems (MAGs), Temporal, FastAPI, LangChain, Deep Agents, Desktop App, ReAct Agents, DuckDB, GraphDB, Cursor AI, HL7, Back-end, Agentic RAG Systems
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