Haseeb Zahid-Senior AI Engineer | LLM Engineer | ML Engineer
Check rate
Experience
Senior Data Scientist
WPP MEDIA
- Designed and deployed enterprise Retrieval-Augmented Generation (RAG) applications using LangChain, LangGraph, vector databases, embeddings, and open-source LLMs served through vLLM on GCP GPU infrastructure.
- Built agentic AI workflows using LangGraph with planning, reasoning, tool execution, persistent memory, session management, and Human-in-the-Loop approval mechanisms.
- Developed LLM-powered automation systems integrating BigQuery, SQL pipelines, and external advertising APIs including Meta, TikTok, Amazon, Snapchat, Google, and Pinterest, reducing manual operational workflows.
- Architected multi-agent AI systems for enterprise analytics and decision-support workflows, enabling autonomous task execution and intelligent data interactions.
- Implemented retrieval optimization strategies including multi-retriever architectures, semantic search, context optimization, and query improvement techniques, improving response relevance by approximately 40%.
- Engineered structured prompting strategies, function-calling schemas, and validation workflows to improve reliability of multi-step LLM applications.
- Designed scalable AI services using Python, FastAPI, Cloud Run, Pub/Sub, BigQuery, Docker, and cloud-native deployment architectures.
Machine Learning Engineer
7NSoft Systems
- Developed transformer-based NLP models for automated SQL translation between PostgreSQL and MSSQL, achieving over 90% translation accuracy.
- Designed automated machine learning pipelines using Scikit-Learn, TPOT, and PyCaret, improving fraud detection model performance by approximately 18%.
- Built and deployed production machine learning APIs using FastAPI, Flask, and Django.
- Implemented MLOps workflows using Docker, Jenkins, and GitHub Actions, reducing model deployment cycles by approximately 40%.
- Developed scalable data processing workflows and machine learning solutions for enterprise applications.
Data Scientist
Centre for Non-Communicable Diseases (CNCD)
- Designed scalable ETL and data processing pipelines using Python, PySpark, and SQL for genomic datasets exceeding 10TB.
- Developed machine learning models using Random Forest, Gradient Boosting, and Neural Networks for large-scale pattern discovery.
- Built NLP classification pipelines using transformer architectures including BERT and ALBERT, achieving approximately 92% precision on text classification tasks.
- Containerized and deployed machine learning services using Docker and Jenkins-based CI/CD pipelines.
Adaptive & Corrective RAG System
- Developed advanced RAG architecture with query routing, retrieval evaluation, corrective retrieval, and response validation mechanisms.
- Implemented strategies for reducing hallucinations and improving answer reliability in enterprise knowledge systems.
Enterprise Agentic RAG Platform
- Designed an enterprise AI assistant using LangGraph, LangChain, vector databases, and LLM APIs.
- Implemented multi-step reasoning workflows, retrieval pipelines, tool execution, memory management, and Human-in-the-Loop approval workflows.
- Built evaluation workflows to measure retrieval quality, response accuracy, latency, and reliability.
LLM Evaluation Framework
- Built evaluation pipelines for measuring LLM application performance.
- Evaluated retrieval quality, hallucination rate, response accuracy, latency, and token efficiency.
Industry Experience
See where this freelancer has spent most of their professional time.
Experienced in Advertising, Media and Entertainment, Healthcare, and Information Technology.
Business Area Experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology, Business Intelligence, Operations, Research and Development, and Product Development.
Summary
Senior AI Engineer and Machine Learning Engineer with 8+ years of experience designing production-grade AI systems, LLM applications, NLP pipelines, and scalable machine learning platforms. Specialized in Generative AI, Agentic AI workflows, Retrieval-Augmented Generation (RAG), LLM orchestration, tool calling, and MLOps. Experienced building enterprise AI solutions using LangGraph, LangChain, LlamaIndex, Python, PyTorch, TensorFlow, GCP, AWS, and Azure.
Skills
Generative Ai & Large Language Models (Llms)
Agentic Ai Systems
Multi-Agent Architectures
Retrieval-Augmented Generation (Rag)
Adaptive Rag & Corrective Rag
Langgraph Agent Workflows
Langchain & Llamaindex
Tool Calling & Function Calling
Model Context Protocol (Mcp)
Llm Evaluation
Llmops
Gpt-4
Claude
Gemini
Llama
Mistral
Hugging Face
Langchain
Langgraph
Llamaindex
Rag
Agents
Python
Pytorch
Tensorflow
Scikit-Learn
Transformers
Bert
Nlp
Lightgbm
Xgboost
Gcp
Aws
Azure
Vertex Ai
Bigquery
Cloud Run
Docker
Kubernetes
Mlflow
Ci/Cd
Sql
Pyspark
Snowflake
Airflow
Etl
Data Warehousing
Languages
Education
Muhammad Ali Jinnah University (MAJU)
M.S. · Bioinformatics · Karachi, Pakistan
University of Karachi
B.S. · Computer Science · Karachi, Pakistan
Certifications & licenses
AWS Architecting Solutions on AWS
Building Generative AI-Powered Applications with Python
Coursera
Google Cloud Professional Data Engineer Certification
Prompt Engineering for Generative AI
DeepLearning.AI
Statistics
Experience
Global Experience
Expertise
Qualifications
Profile
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Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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