Software Engineer | Generative AI, Agentic Systems, Backend APIs, Cloud and DevOps

Work Experience

AI Engineering Analyst (August 2024 - Present) - Accenture

Built enterprise-grade Generative AI and agentic AI PoCs to modernize legacy applications and enhance engineering workflows, increasing team efficiency by 40%.
Automated engineering documentation and knowledge workflows using OpenAI models and AutoGen-based agents, reducing manual effort by ~70%.
Developed multi-agent automation systems using AWS Bedrock Agents, AgentCore, Lambda, and native AWS services, reducing operational overhead by 30–40%.
Created MCP-compliant servers and IDE-integrated developer agents enabling context-aware codebase queries and AI-assisted workflows, improving developer productivity by ~50%.

Education

B.E. in Artificial Intelligence and Machine Learning
Dayananda Sagar Academy of Technology and Management — CGPA: 8.9

Core Coursework & Technical Foundations

Programming: Python Programming, Object-Oriented Programming
Machine Learning & AI: Machine Learning, Artificial Intelligence, Deep Learning fundamentals
Mathematics for ML: Linear Algebra, Probability & Statistics, Optimization methods
Algorithms: Data Structures and Algorithms, Algorithm Design
Systems: Operating Systems, Linux Systems, Computer Networks
Data Management: Database Management Systems (SQL, data modeling)
Software Engineering: Software Development Practices, Project Development, System Design fundamentals

Academic Focus Applied AI systems, ML model development, software engineering for intelligent applications, and building end-to-end projects involving data, algorithms, and scalable systems.

Projects

Automated Waste Segregation using Computer Vision

Developed an advanced waste segregation system using YOLOv5 for accurate identification and classification of various waste materials, enhancing recycling efficiency and environmental sustainability.
This project aims to detect and classify 7 classes of waste which include paper , plastic , metal , cardboard , glass , thermocol and wet-waste. The model has been trained on datasets which are a combination of already available datasets from roboflow and images collected and manually annotated using LabelImg which consisted a total of around 7000 images. The model achieves an accuracy of 85% after 50 epochs.

Food Ordering App

Developed a canteen app utilizing Firebase Authentication and Real-time Database, enabling seamless food ordering, real-time updates, and secure payments for users
Snackzy is a food ordering app designed for canteens. It supports real-time ordering and includes features for authentication, payment, and admin management. Admins can add or delete new items from the menu, and users can authenticate and make payments seamlessly.

Facial Emotion Detection

Developed a Facial Emotion Recognition system using neural networks and deep learning techniques to train the model on a comprehensive dataset to accurately identify emotions from facial expressions
Developed a deep learning model that classifies facial emotions into seven categories: angry, disgust, fear, happy, neutral, sad, and surprise.
The model has been trained on the FER-2013 dataset and achieves an accuracy of 90% after 30 epochs.

Recipe Cookbook

Created an application to store and display recipes, allowing users to add and filter recipes by meal type and dietary preference.
Used MySQL as the database and Tkinter for front end.
Recipe Cookbook is a desktop application that allows users to store, explore, and provide feedback on recipes. The application uses MySQL for database management and Tkinter for the graphical user interface.

Technical Skills

Python	Scikit Learn	Pandas	Numpy	Tensorflow
Torch	Streamlit	Firebase	Git/GitHub	MySQL
HTML/CSS	Java (Basics)	C/C++ (Basics)	Linux	Colab
Machine Learning	Deep Learning	Android Development	Dataset Preparation	Project Management

Certifications

Python Coursera
Associate Cloud Engineer GCP
Cloud Digital Leader GCP
Gen AI Leader GCP
Java Infoysy Springboard
Android Application Development Great Learning
Machine Learning Infosys Springboard
Deep Learning Infosys Springboard
Power BI Infosys Springboard
Workshops on IOT,AIML, Web Development, Computer Vision, Communication Skills, Decision Making conducted at Dept of AIML, DSATM

Achievements

Won 1st place in a Coding contest conducted at the institute.

Awarded Best Project at the Department’s Open day.

Extracurricular

Volunteer (October 2022 - March 2024) - Way For Life

Volunteered with an NGO conducting research on government schools, old age homes, and orphanages, while also leading tree planting and community cleaning drives.

Interests

Coding • AI • Chess • Drawing • Research • Nature Documentaries

Mohammed Zabiullah C