Full Stack Engineer | AI Developer | maintainer@ AG2
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AG2.ai
Full Stack Engineer
June 12, 2026 – Present
ag2
November 11, 2024 – Present
AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3x
View ProjectText-Guided-Sketch-to-photo-Image-Synthesis
August 13, 2023 – August 21, 2023
a text-guided sketch-to-image synthesis model that semantically mixes style and content features from the latent space of an inverted Generative Adversarial Network (GAN). Our goal is to synthesize plausible images from human facial sketches and their respective text descriptions.
View ProjectsEmantic_sentence_similarity_model_api_with_transformers_and_tensorflow
July 9, 2023 – September 29, 2023
an api for the sns model created (semantic sentence similarity model using tansformers ,tenosrflow and fastapi ) : hosted on aws
View ProjectIce-Sejj
May 2, 2023 – May 7, 2025
Introducing Ice-Sejj: Your Ultimate NLP and Machine Learning Solution
View Projectecommerce-website-customer-churn-data-analysis
March 26, 2023 – March 26, 2023
given an ecommerce website I have to perform data analysis on customer churn and extract insights from it
View ProjectBBC-News-Classification-using-hugging-face
March 9, 2023 – March 9, 2023
classify news into five categories: business, entertainment, politics, sport, and tech.
View ProjectAbstractive-Text-Summarization-Enhancing-Sequence-to-Sequence-Models-Using-Word-Sense-Disambiguatio
February 2, 2023 – September 29, 2023
This repository contains code and resources for abstractive text summarization (TS) using a novel framework that leverages knowledge-based word sense disambiguation (WSD) and semantic content generalization to enhance the performance of sequence-to-sequence (seq2seq) neural-based TS.
View ProjectUniacco-assignment-cust-churn-prediction-model
January 30, 2023 – January 30, 2023
Uniacco-assignment-cust-churn-prediction-model — GitHub repository
View Projectclassification-mobile-price-analysis-
October 19, 2022 – October 19, 2022
Create a classification model to predict whether price range of mobile based on certain specifications
View Projectcoffee-machine-project
August 28, 2021 – August 28, 2021
1. Prompt user by asking “ What would you like? (espresso/latte/cappuccino): ” a. Check the user’s input to decide what to do next. b. The prompt should show every time action has completed, e.g. once the drink is dispensed. The prompt should show again to serve the next customer. 2. Turn off the Coffee Machine by entering “ off ” to the prompt. a. For maintainers of the coffee machine, they can use “off” as the secret word to turn off the machine. Your code should end execution when this happens. 3. Print report. a. When the user enters “report” to the prompt, a report should be generated that shows the current resource values. e.g. Water: 100ml Milk: 50ml Coffee: 76g Money: $2.5 4. Check resources sufficient? a. When the user chooses a drink, the program should check if there are enough resources to make that drink. b. E.g. if Latte requires 200ml water but there is only 100ml left in the machine. It should not continue to make the drink but print: “ Sorry there is not enough water.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards Machine Learning, Natural Language Processing, and data analysis, with limited explicit full-stack web development projects beyond basic HTML or API exposure. While these skills are valuable, the breadth of experience in traditional full-stack technologies (e.g., front-end frameworks, databases, cloud infrastructure beyond basic hosting) is not clearly demonstrated. The current role at AG2.ai as 'Full Stack Engineer' is a current position with no start date, making it difficult to assess its impact on cultural fit for a general full-stack role without more details.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a strong drive for personal learning and project completion, which could translate to good initiative and problem-solving. However, there is no information on collaboration, communication style, or stress handling.