Open to opportunities

abeera najam

@abeeranajam

AI/ML intern building agentic RAG chatbots, fraud detection, and real-time voice emergency systems to turn ideas into impact.

Pakistan

Message

What I'm looking for

I’m looking for an AI/ML role where I can build production-ready agentic RAG and ML pipelines—connecting LLMs to real data, ensuring reliability with guardrails and tracing, and shipping via FastAPI and CI/CD on cloud.

hroughout my academic and professional journey, I have focused on building practical AI solutions that solve real-world problems rather than purely research-oriented projects.

My experience includes developing multi-agent AI systems, RAG-based chatbots, HR onboarding automation workflows, MCP-based AI assistants, anomaly detection systems, and machine learning models for fraud detection and classification tasks. I have worked extensively with Python, LangChain, LangGraph, FastAPI, OpenAI APIs, vector databases, and modern LLM evaluation frameworks such as RAGAS and DeepEval. I enjoy designing end-to-end AI pipelines, from data preprocessing and model development to deployment and monitoring.Beyond technical development, I enjoy translating complex AI concepts into practical business solutions and collaborating with multidisciplinary teams. I am particularly interested in Agentic AI, LLM applications, machine learning systems, AI automation, and intelligent workflow orchestration. I actively explore emerging AI technologies, participate in hackathons and technical projects, and continuously expand my knowledge through hands-on experimentation.

My goal is to build scalable AI products that create measurable impact while combining strong engineering practices with the latest advancements in artificial intelligence.

Experience

Work history, roles, and key accomplishments

AI/ML Intern

NetSol Technologies

Jun 2024 - Jul 2024 (1 month)

Engineered a multi-tenant MCP server with Python microservices and Langfuse to support real-time orchestration and concurrent multi-client requests. Built a RAG-based customer support chatbot and a telecom fraud detection model using XGBoost and Isolation Forest, achieving ~87% precision.

Python Langfuse LangGraph Flask MongoDB RAG XGBoost Isolation Forest

Software Engineering Intern

10Pearls

Jun 2024 - Jul 2024 (1 month)

Developed full-stack web applications for production codebases using MongoDB, Express.js, React, and Node.js. Built secure backend services and responsive UI components while collaborating with senior engineers on client-facing features.

MongoDB React Full Stack Backend Services Secure Coding UI Components

Education

Degrees, certifications, and relevant coursework

Ghulam Ishaq Khan Institute of Engineering Sciences and Technology

Bachelor of Science, Artificial Intelligence

2022 - 2026

Grade: GPA: 3.65/4.0

Activities and societies: Dean's Honor Roll (3 semesters); 100% Merit Scholarship; IEEE GIKI Executive Member.

Bachelor of Science in Artificial Intelligence at GIKI (2022–2026), maintaining a GPA of 3.65/4.0. Earned Dean's Honor Roll recognition for three semesters and a 100% merit scholarship.