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Senior AI/ML Engineer with 6+ years of end-to-end experience building and scaling intelligent systems, including production ML pipelines, autonomous agentic workflows, and LLM-powered applications deployed at enterprise scale. Strong expertise in LangChain, LlamaIndex, LangGraph, CrewAI, RAG/vector search, and LLM fine-tuning with production-grade MLOps. I integrate AI components into backend services and APIs, focusing on scalability, observability, and reliability (CI/CD, monitoring, evaluation, drift detection). I also prioritize responsible AI, security guardrails (e.g., prompt injection defenses), and mentoring teams to apply best practices in agentic AI and ML lifecycle management.…Senior AI/ML Engineer with 6+ years of end-to-end experience building and scaling intelligent systems, including production ML pipelines, autonomous agentic workflows, and LLM-powered applications deployed at enterprise scale. Strong expertise in LangChain, LlamaIndex, LangGraph, CrewAI, RAG/vector search, and LLM fine-tuning with production-grade MLOps. I integrate AI components into backend services and APIs, focusing on scalability, observability, and reliability (CI/CD, monitoring, evaluation, drift detection). I also prioritize responsible AI, security guardrails (e.g., prompt injection defenses), and mentoring teams to apply best practices in agentic AI and ML lifecycle management.

Muneeb Ahmad

AI Engineer, Data Scientist, Software Engineer, +2

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Senior AI/ML Engineer with 6+ years of end-to-end experience building and scaling intelligent systems, including production ML pipelines, autonomous agentic workflows, and LLM-powered applications deployed at enterprise scale. Strong expertise in LangChain, LlamaIndex, LangGraph, CrewAI, RAG/vector search, and LLM fine-tuning with production-grade MLOps. I integrate AI components into backend services and APIs, focusing on scalability, observability, and reliability (CI/CD, monitoring, evaluation, drift detection). I also prioritize responsible AI, security guardrails (e.g., prompt injection defenses), and mentoring teams to apply best practices in agentic AI and ML lifecycle management.…Senior AI/ML Engineer with 6+ years of end-to-end experience building and scaling intelligent systems, including production ML pipelines, autonomous agentic workflows, and LLM-powered applications deployed at enterprise scale. Strong expertise in LangChain, LlamaIndex, LangGraph, CrewAI, RAG/vector search, and LLM fine-tuning with production-grade MLOps. I integrate AI components into backend services and APIs, focusing on scalability, observability, and reliability (CI/CD, monitoring, evaluation, drift detection). I also prioritize responsible AI, security guardrails (e.g., prompt injection defenses), and mentoring teams to apply best practices in agentic AI and ML lifecycle management.

Available to hire

Senior AI/ML Engineer with 6+ years of end-to-end experience building and scaling intelligent systems, including production ML pipelines, autonomous agentic workflows, and LLM-powered applications deployed at enterprise scale. Strong expertise in LangChain, LlamaIndex, LangGraph, CrewAI, RAG/vector search, and LLM fine-tuning with production-grade MLOps.

I integrate AI components into backend services and APIs, focusing on scalability, observability, and reliability (CI/CD, monitoring, evaluation, drift detection). I also prioritize responsible AI, security guardrails (e.g., prompt injection defenses), and mentoring teams to apply best practices in agentic AI and ML lifecycle management.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Intermediate

Work Experience

Senior Machine Learning Engineer at Progressive Technologies

October 1, 2023 - Present

Designed and built autonomous and semi-autonomous AI agents using LangGraph, LangChain, and CrewAI, enabling multi-step reasoning, planning, and tool use across APIs and enterprise workflows. Optimized reasoning and retrieval pipelines using embeddings and vector databases (Pinecone, ChromaDB, pgvector) with hybrid retrieval and reranking for grounded answers. Developed and fine-tuned LLaMA-2 and DeepSeek-R1 using LoRA/QLoRA and prompt optimization for contextual accuracy. Built ML training/deployment/monitoring pipelines with MLflow, Airflow, and DVC, including evaluation gating, drift-triggered retraining, and continuous learning loops. Integrated AI inference into FastAPI microservices/REST APIs with async processing, structured outputs, RBAC, and inference caching on AWS (SageMaker, Lambda, API Gateway) with Docker/Kubernetes. Mentored a team and maintained scalable, observable codebases with CI/CD and monitoring (Prometheus, Grafana), including SHAP/Fairlearn explainability and pr

Machine Learning Engineer at Magma Systems

July 1, 2022 - September 1, 2023

Developed real-time ML systems across NLP and computer vision for analytics dashboards and smart automation. Built text classification using BERT/RoBERTa for intelligent tagging and routing, and NER pipelines with spaCy and transformer-based structured extraction. Implemented OpenCV + YOLO defect detection pipelines for mobile-first industrial quality use cases with on-device inference support. Built MLOps framework using MLflow and Docker with model lifecycle management and deployment in GCP environments. Implemented monitoring dashboards for confidence, drift, and edge-case handling; partnered with backend teams to deploy inference services via Kubernetes. Conducted A/B testing on model variants to measure KPI impact and documented reusable ML pipelines for cross-team adoption.

AI/ML Engineer (Freelance) at Upwork

March 1, 2021 - April 1, 2022

Delivered contract-based AI/ML solutions for international clients in finance, healthcare, and education. Built recommendation engines using collaborative filtering and matrix factorization, and developed AI chatbots using GPT-3 and Rasa with dialogue flows, fallback strategies, and contextual memory. Created computer vision models for license plate detection and vehicle classification using YOLOv5 and TensorFlow Lite for mobile deployment. Deployed ML model REST APIs using Flask/FastAPI with API key handling, logging, and monitoring (New Relic). Completed 12+ projects with strong feedback and repeat clients.