
Esha Riaz
@eshariaz
I build AI-powered web and cloud systems, from ML forecasting pipelines to database-driven applications.
What I'm looking for
I've built AI-powered business systems for Codex, including lead and intent scoring with CatBoost, LSTM-based sales forecasting, funnel tracking, and workflow visibility. My work spans ML pipelines, REST APIs, database-driven platforms, and full-stack applications.
I've also deployed containerised applications during my DevOps internship at FPCL and supported Python-based ML experiments at B My Marketer. I enjoy connecting AI, web development, and cloud technologies through projects such as RAG assistants, clinical analytics platforms, NLP evaluation research, and healthcare prediction systems.
Experience
Work history, roles, and key accomplishments
B2B Sales & Marketing Alignment Platform
Codex
Jan 2025 - Dec 2026 (1 year 11 months)
Built a sales and marketing alignment system to automate lead tracking, funnel monitoring, and business workflow analysis. Used CatBoost for intent/lead scoring and LSTM-based forecasting to support sales prediction and data-driven planning.
Artificial Intelligence Intern
B My Marketer
Jul 2024 - Aug 2024 (1 month)
Worked on ML experiments using Python, Pandas, NumPy, Scikit-learn; supported preprocessing, evaluation, APIs, and pipelines.
Education
Degrees, certifications, and relevant coursework
FAST National University of Computer and Emerging Sciences (FAST-NU)
BS, Software Engineering
Grade: CGPA: 3.21 / 4.00
Activities and societies: Dean's List Fall 2025 and Spring 2026
Pursued a BS in Software Engineering, graduating in June 2026. Achieved Dean's List honors in Fall 2025 and Spring 2026 with a CGPA of 3.21/4.00.
Availability
Location
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Salary expectations
Social media
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