Amna I.

Key Skills

Software

Other

Top Subject Matter

Agentic AI Engineering (multi-agent systems, LLM orchestration, MCP pipelines)

AI/ML Training & Generative AI (NLP, transformers, GANs/VAEs, DALL-E)

Full-Stack Development (MERN, REST APIs, JWT, CI/CD for AI-enabled apps)

Top Data Types

Image

Top Task Types

Prompt + Response Writing (SFT)

Fine-tuning

Classification

Freelancer Overview

Agentic AI Engineering Trainee — PIAIC. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Claude API, Other, and GitHub Actions. Education includes Bachelor of Science, University of the Punjab (2023) and FSc (Intermediate), Punjab College. AI-training focus includes data types such as Computer Code, Programming, and Image and labeling workflows including Prompt + Response Writing (SFT), Fine-tuning, and Computer Programming.

Labeling Experience

Agentic AI Engineering Trainee — PIAIC

Prompt + Response Writing (SFT)

Trained and built agentic AI systems that orchestrate multi-step tasks using Claude API, requiring structured prompt design and iterative response formulation. Implemented planning, memory, and autonomous execution flows to produce reliable outputs from LLM interactions. Integrated MCP tooling to connect agent workflows with external APIs and data sources for end-to-end automation. • Designed multi-agent pipelines with custom plugins and hooks for dynamic tool extension and LLM orchestration • Developed autonomous “Digital FTE” worker workflows that complete business tasks end-to-end • Used Claude API and MCP to manage function/tool calling during agent execution • Built systems emphasizing evaluation of agent responses through reliable prompt engineering

2026 - Present

Artificial Intelligence Trainee (Certification Program) - Arfa Karim Technology Incubator

ImageClassification

You completed an Artificial Intelligence certification focused on building core ML and generative AI foundations. The work required learning and applying Python-based data science, NLP, and deep learning concepts. You also delivered a capstone generative AI project that combined prompt engineering with model development techniques. • Trained in Python, NumPy, Pandas, and scikit-learn for ML workflows • Applied NLP methods and transformer-based architectures • Worked on DALL-E image synthesis and advanced prompt engineering • Delivered an end-to-end generative AI capstone project

2025 - 2026

Artificial Intelligence — Certified (Cohort C7) — AKTI

OtherFine-tuning

Completed a certified AI cohort focused on machine learning and generative AI training workflows. Covered model families and methods including transformer architectures and generative modeling techniques such as GANs and VAEs. Applied practical training through a capstone end-to-end generative AI project combining Python, prompt engineering, and NLP techniques. • Trained and experimented with Python-based ML stacks (NumPy, Pandas, scikit-learn) • Practiced NLP modeling approaches including RNN/LSTM and transformer architectures • Performed generative image work with DALL-E and advanced prompt engineering • Built an end-to-end generative AI capstone integrating NLP pipelines with prompt-driven generation

2025 - 2026

JavaScript Full-Stack Development — Certified — NAVTTAC

Completed JavaScript full-stack training that supported building AI-enabled application components through application development practice. Developed MERN apps with authenticated RESTful back ends and deployment workflows suitable for integrating AI features. While not explicitly labeled as annotation work, the training reflects implementation capability used for AI training or AI-enabled tools. • Built MERN apps with JWT authentication and CRUD REST APIs • Implemented CI/CD deployment using GitHub Actions to Vercel • Practiced full-stack architecture patterns relevant to deploying AI services

2025 - 2025

Education

Work History