About Me
Education
Experience
Projects
Skills
Certificates
Activities
Contact
About Me
Education
Experience
Projects
Skills
Certificates
Activities
Contact
Driven and Responsible Junior Computer Engineer, Application Developer at IBM , ITI Graduate, specialized in Data Science and Python Full Stack Development, Skilled in developing end-to-end systems that integrate machine learning models and Generative AI tools with scalable back-end and interactive front-end applications.
University: Zagazig University
Faculty: Faculty of Engineering
Major: Computer and Systems Department
Graduation Year: 2024
Design and analysis of efficient algorithms and implementation of key data structures.
Explored SDLC, requirements analysis, UML design, and testing methodologies.
Focused on SQL, normalization, and database design using relational and NoSQL models.
Studied AI algorithms, search methods, and problem-solving with heuristic approaches.
IBM - Application Developer Intern
Feb 2026 – Present
• Executed targeted campaigns using Salesforce Marketing Cloud (SFMC) tools including Journey Builder, Automation Studio, and Content Builder in a Marketing Operations Specialist (MOS) role.
• Built and optimized Data Extensions using SQL for advanced segmentation, personalization, and campaign performance tracking within SFMC.
ITI - Full Stack Web Development using Python Bootcamp
Jul 2025 – Dec 2025
• Completed an intensive 4-month program at ITI as part of my military service, covering frontend, backend, databases, operating systems, networking, DevOps, and software engineering fundamentals.
• Built full-stack web applications using Django, REST APIs, HTML, CSS, JavaScript, and modern development workflows with Git/GitHub version control.
• Applied database and backend engineering concepts using MySQL, PostgreSQL, SQL, and PL/SQL alongside Linux administration, Bash scripting, and Red Hat environments.
• Worked with open-source and DevOps technologies including Docker, Jenkins, CI/CD pipelines, and automation tools while exploring modern Agentic AI concepts and scalable system design.
[Military Service] Armed Forces Engineering Authority -
DB & Oracle APEX Developer
Dec 2024 – Jul 2025
• Designed and managed Oracle database systems to support operational and business requirements.
• Developed and deployed modern web applications and dashboards using Oracle APEX.
• Migrated and maintained critical Linux-based IT systems, including domains, servers, and enterprise applications.
Ericsson - AI Trainee
Jun 2023 – Jul 2023
• Analyzed telecom datasets containing over 2 million records to improve 4G network performance.
• Applied machine learning techniques for network optimization and market insight generation.
• Created Power BI dashboards and presented analytical findings to stakeholders.
NTI - AI Trainee
Jul 2023 – Aug 2023
• Participated in AI workshops, technical sessions, and collaborative group projects.
• Strengthened practical knowledge of machine learning concepts and data analysis workflows.
• Developed a hybrid AI retail analytics copilot using
DSPy, LangGraph, SQLite, and
BM25-based RAG to answer business intelligence queries from
both structured databases and unstructured documents.
• Designed a stateful multi-node workflow with intelligent
routing, NL-to-SQL generation, retrieval pipelines,
constraint planning, and automated self-repair loops for reliable
query execution.
• Implemented auditable AI pipelines with
citation tracking, typed output validation,
confidence scoring, and MLflow tracing for full
workflow observability.
• Optimized DSPy routing components using MIPROv2 and built a
modular architecture supporting scalable hybrid reasoning workflows
and future local model integration.
• Built a FastAPI backend with
session-based architecture, exposing secure endpoints for API
key management and question handling while maintaining
conversational context through DSPy-powered
history summarization.
• Developed a responsive React.js + Tailwind frontend
featuring split-view analytics/chat interfaces, local session
persistence, and robust error handling for API authentication
failures and session expiration.
Tools: Python, DSPy, LangGraph, SQLite, BM25, RAG, MLflow, LangChain, Git.
• Developed a
command-line Database Management System (DBMS) using
Bash scripting, enabling users to create, manage, and
manipulate databases directly through a
Linux terminal interface.
• Implemented core database functionalities including
database/table creation, record insertion,
selection, updating, deletion, and
database connection management.
• Designed modular shell scripts for menu handling,
validation, selection helpers, and database operations to improve
maintainability and scalability of the system.
• Applied database concepts such as primary key enforcement,
data type validation, and
file-system-based data storage while strengthening
Linux, Bash scripting, and
problem-solving skills.
Tools: Bash, Linux, Shell Scripting, File System, Database Systems, Git.
• Developed an
AI-powered social media sentiment analysis platform that
monitors customer feedback and market trends on
Twitter (X) using NLP and
machine learning techniques.
• Built and trained an
LSTM-based sentiment analysis model for tweet classification,
including data preprocessing, sentiment prediction,
trend analysis, word cloud generation, and interactive
sentiment visualizations.
• Collaborated within a
full-stack development environment involving secure
authentication systems, subscription management,
middleware validation, tweet scraping pipelines, and
backend infrastructure for analytics processing.
• Contributed to the integration of
AI-driven analytics within a
cross-platform mobile application featuring
user authentication, subscription plans,
data visualization, and Stripe payment integration.
Tools: Python, NLP, LSTM, TensorFlow, Keras, Flask, REST APIs, Flutter, Dart, Stripe, Git.
IBM Volunteering
Apr 27, 2026
IBM Volunteering
Apr 22, 2026
NASA Space Apps Cairo @ AUC
Oct 5-6, 2023
Feel free to reach out to me through any of the links below:
Email : amressamgodaabdelalim@gmail.com
LinkedIn : Amr Essam
Phone Number : +20 1023 474 124
