Open to Associate AI Engineer Roles — RAG, LLM Agents & Applied GenAI

Hi, I'm Amna Khalid

Associate AI/ML Engineer — Generative AI · RAG · LLM Agents · MLOps

I build production-ready RAG and agentic AI systems — from data pipelines and model evaluation to deployment. My work spans hybrid multimodal RAG, LLM-powered agents with LangChain and LangGraph, and shipping models as real services with FastAPI, Docker, and CI/CD.

10+ AI/ML ProjectsRAGLangChainLangGraph

— About

Building with Machine Learning & Generative AI

I'm an AI/ML Engineer with hands-on experience across the full GenAI stack — hybrid and multimodal RAG systems evaluated with RAGAS, agentic workflows built with LangChain, LangGraph, and n8n, and real-time voice AI on LiveKit. On the ML/DL side: supervised and unsupervised learning, and deep learning architectures including ANNs, CNNs, RNNs, LSTMs, and Transformers, with a strong NLP foundation. I deploy this work as real services using FastAPI, Docker, and GitHub Actions CI/CD. Built through applied training at Netsol Technologies; currently Co-Founder at Praxeon Solutions working on RAG systems, fine-tuning, and agentic workflows.

RAG Systems
Agentic Workflows
Model Fine-Tuning
MLOps & Deployment

— Projects

Featured Projects

Real-time Voice AI for Pakistani Students

Aria — AI Voice Career Counselor

Real-time voice agent acting as a career counselor for Pakistani students — checking eligibility, recommending degrees, and giving job-market outlook via live spoken conversation.

PythonLiveKit AgentsDeepgramGroq

Multimodal Hybrid RAG for Research Papers

ArXivAgent-RAG

Multimodal hybrid RAG system for querying arXiv papers, ingesting PDF text, tables, and images with dense+sparse retrieval in Qdrant. A LangGraph agent orchestrates retrieval and generation, evaluated with RAGAS and shipped as a containerized FastAPI service with CI/CD.

LangGraphLangChainQdrantGroqRAGASFastAPIDocker

Semantic Movie Recommendation API

NeuroStream

Content-based movie recommender served as a live REST API, comparing TF-IDF and SBERT semantic search side by side. Models are cached on Hugging Face Hub and CI/CD auto-deploys to Hugging Face Spaces.

scikit-learnsentence-transformersFastAPIGitHub Actions

Human-in-the-Loop Multi-Agent Screening

AI-Powered ATS

Multi-agent resume screening pipeline in n8n. Skills matching, red-flag detection, and a hiring decision engine cross-validate results; ambiguous cases default to human review rather than auto-rejection.

n8nGroq (Llama 3.3 70B)SerpApiGoogle SheetsSlack API

Lightweight Transfer Learning for Tweet Sentiment

Airline Sentiment Analysis (BERT)

Tweet sentiment classifier for Negative, Neutral, and Positive labels using BERT Tiny with partial fine-tuning. Only the last two layers were trained to avoid overfitting on a 14,640-tweet dataset, reaching 74.45% accuracy while staying lightweight.

TensorFlow/KerasKerasHubBERT TinyTransfer Learning

Agentic NLP-to-SQL with Intelligent Routing

Text-to-SQL Chatbot

Production-grade agentic NLP-to-SQL engine that translates plain English into structured queries, executes against an Aiven-hosted cloud database, and detects when a request needs visualization versus a clean data payload. The modular FastAPI backend is fully containerized.

PythonFastAPIAiven DBLLM Query RoutingDocker

Personalized Job Discovery with Semantic Matching

Jobs Recommendation System

A job recommendation system that matches candidate skills and preferences to relevant opportunities using structured feature matching and NLP-based similarity. Designed to surface more useful roles than keyword-only search.

PythonNLPRecommendation SystemsMachine Learning

— Skills

A modern AI engineering toolkit

Programming Languages

PythonC++DartSQL

AI/ML Core

Machine LearningDeep LearningRAGTensorFlowScikit-learnPandasNumPyMatplotlibSeaborn

Generative AI & Agents

LangChainLangGraphLangSmithn8nMake.comHugging FaceRAGASFastAPILiveKitHybrid RAGMultimodal RAGQdrantFAISSChroma

MLOps & Deployment

CI/CD PipelinesGitHub ActionsDocker HubMLflowDagsHub

Mobile Development (Prior Experience)

FlutterDartResponsive UILLM Integration in AppsCross-Platform DevelopmentZegoCloud SDKAPI Integration

Tools & Platforms

GitHubVS CodeAndroid StudioGoogle ColabKagglePostman

Familiar With

ElevenLabsFine-TuningKubernetesSupabaseAiven DB

— Experience

Experience

  1. July 2026 – Present · Lahore

    Co-Founder

    Praxeon Solutions

    Co-founded a platform focused on implementing published AI research and building applied systems. Currently working on hybrid multimodal RAG pipelines, RAGAS evaluation, and LLM fine-tuning — reproducing published methods, testing them against real-world constraints, and documenting findings along the way.

  2. June 2026 · Lahore

    Artificial Intelligence Intern

    NETSOL Technologies Pakistan

    Built practical Generative AI applications, including a corporate website Q&A tool using Gemini Embedding v2 and Gemini 2.5 Lite, a PDF question-answering system backed by a FAISS vector database, and a natural-language-to-SQL tool with automatic data visualization.

  3. February 2026 – June 2026 · Lahore

    AI/ML Trainee

    NETSOL Technologies Pakistan

    Completed a 3.5-month intensive program covering Machine Learning, Deep Learning, Generative AI, RAG pipelines, and core statistics. Delivered technical presentations to senior leads and completed professional development training in resume building and interview preparation.

  4. June 2025 – October 2025

    Flutter Application Developer

    Sky Logic Solutions Limited

    Built a real-time voice chat room application using Flutter and Dart within a professional team. Developed responsive UI screens following MVC architecture, integrated and tested RESTful APIs, and implemented Zego Cloud SDK for real-time voice communication.

  5. July 2025 – September 2025

    Android Developer Intern

    Digital Empowerment Network

    Completed a virtual internship with weekly task-based assignments in mobile development. Built full-featured apps including a wallpaper app and a recipe app, implementing Firebase Authentication and real-time database integration.

  6. July 2025 – August 2025

    Application Developer

    SkillifyZone

    Completed a 4-week internship building four Flutter mobile app projects. Implemented state management with GetX, integrated REST APIs, and followed MVC architecture for clean, modular code, delivering each project with documentation and demo recordings.

— Education

Education

  1. 2021 – 2025

    Bachelor of Science, Computer Science

    University of the Punjab

  2. 2019 – 2021

    Intermediate, Computer Science

    Qurban Degree College

  3. 2017 – 2019

    Matric, Computer Science

    Qurban Girls High School

— Credentials

Certifications & Workshops

Certifications

  • Introduction to Model Context Protocol

    Anthropic (2026)

    Model Context Protocol (MCP) · Generative AI Tools

  • Introduction to Subagents

    Anthropic (2026)

    AI Agents · AI Orchestration

  • Advanced Python

    Simplilearn (2026)

    Python · Advanced Concepts

  • Introduction to Prompt Engineering

    Simplilearn (2026)

    Prompt Engineering · Instructional Design

  • Object-Oriented Programming in Python

    UniAthena (2026)

    OOP Concepts · Python

Workshops

Part of GDG's #VibeKaregaPakistan series — a multi-city workshop track on building AI agents, from foundational concepts to real-world integration.

  1. 1

    Intro to Transformers & Attention Mechanism

    GDG PureLogics

    Foundational concepts behind how LLMs actually work.

  2. 2

    Agent Development Kit & AI Agents

    GDG Daftarkhwan

    Hands-on session on building AI agents using Google's Agent Development Kit.

  3. 3

    Agent Integration in Android Apps

    GDG Invozone

    Applying agentic AI concepts inside real mobile app architecture.