AI Engineer: GenAI, RAG, Agentic Systems

Md Sabbirul Haque

AI Engineer Generative AI, Agentic AI, RAG, Machine Learning

Denver, CO 615-***-**** *********@*****.*** github.com/sabbir465 linkedin.com/in/md-sabbirul-haque

PROFESSIONAL SUMMARY

AI Engineer / Data Scientist with 6+ years of experience designing, developing, and deploying production AI and machine learning solutions across enterprise use cases. Experienced in building Generative AI applications, agentic AI systems, RAG platforms, and LLM-powered workflows using Python, LangGraph, LangChain, and OpenAI. Strong background in developing end-to-end AI solutions spanning APIs, tool calling, evaluation, guardrails, containerization, CI/CD, cloud deployment, testing, and production observability. Proven ability to translate business requirements into scalable AI solutions and collaborate with technical and non-technical stakeholders.

TECHNICAL SKILLS

Programming: Python, SQL, TypeScript

Machine Learning & Data Science: Predictive Modeling, Anomaly Detection, Time-Series Forecasting, Computer Vision, Clustering, Neural Networks, Feature Engineering, Model Evaluation, Statistical Analysis, A/B Testing, Hypothesis Testing, TensorFlow, PyTorch, Keras, Scikit-learn, Pandas, NumPy

AI & GenAI: LLMs, LangGraph, LangChain, OpenAI, Claude, Agentic AI, Multi-Agent Systems, Agent Orchestration, RAG, Prompt Engineering, Tool Calling, AI Evaluation, Guardrails, LLM-as-a-Judge, RAGAS, MCP, Embeddings, NLP, Transformers

Cloud Platforms: Microsoft Azure, AWS, Azure Container Apps, Azure Container Registry, Azure Data Lake Storage, AWS SageMaker, Amazon S3

MLOps & Tools: Docker, Git, GitHub Actions, Cursor, FastAPI, REST APIs, CI/CD, Kubernetes, MLflow, Model Deployment, Automated Testing, Pytest, Pydantic, Prometheus, Grafana

Big Data & Data Engineering: Spark, PySpark, Databricks, Azure Data Factory

Databases & Visualization: PostgreSQL, Power BI

PROFESSIONAL EXPERIENCE

Concentrix Corporation– Denver, CO

Major Clients: TruGreen, Charter Communications, The North Face, and internal projects

Senior AI / ML Engineer / Senior Data Scientist March 2021 – February 2026

●Designed and deployed end-to-end AI, Generative AI, and machine learning solutions for enterprise clients, translating business requirements into scalable production applications and services on Azure.

●Implemented MLOps pipelines to automate model training, evaluation, versioning, deployment, monitoring, and continuous improvement of AI/ML capabilities in production environments.

●Built and evaluated an enterprise agentic RAG platform using LangChain and OpenAI API, implementing evaluation methods for retrieval quality, response relevance, groundedness, hallucination, latency, cost, and reliability to benchmark system performance and support continuous improvement.

●Built and deployed an AI customer-support copilot using LangGraph and OpenAI API that automated customer/order workflows while preventing hallucinated business decisions through deterministic policy guardrails and maintaining an auditable decision trail.

●Developed maintainable production Python services with automated testing, structured logging, CI/CD, and technical documentation.

●Developed a global time-series forecasting solution for Charter mobile handset data usage using Temporal Fusion Transformer model, leveraging subscriber-level historical usage, customer, device, and plan features to forecast future data consumption at the line level and support capacity planning and business decision-making.

●Developed a PyTorch-based computer vision model using transfer learning to automatically classify retail product images into merchandise categories, streamlining product cataloging and improving metadata consistency for downstream search and recommendation workflows.

●Developed and deployed a CLV prediction platform using LightGBM that enabled marketing teams to identify high-value customers and prioritize retention and acquisition strategies across large-scale transactional and behavioral datasets.

●Applied geospatial clustering to handset data using DBSCAN to identify primary customer locations, generating insights for network planning and service optimization.

●Designed A/B and multivariate experiments to measure product and marketing performance and support data-driven business decisions.

●Conducted exploratory and predictive analyses across large transactional and behavioral datasets to identify patterns, generate hypotheses, engineer features, evaluate performance, and translate findings into actionable business insights.

●Created dashboards and presented findings to technical and non-technical stakeholders and business leaders.

Technologies: Python, SQL, PySpark, Spark, Databricks, LightGBM, Scikit-learn, TensorFlow, PyTorch, MLflow, LangGraph, LangChain, MCP, OpenAI, Claude, ChromaDB, Azure, FastAPI, Docker, Kubernetes, CI / CD, GitHub Actions, Prometheus, Grafana.

Alphosoft Inc.– Pleasanton, CA (Clients: Cognizant/Kaiser Permanente)

Data Engineer June 2020 – March 2021

●Built end-to-end ETL pipelines for migrating on-premises data and built dimensional data models to support analytics and reporting at scale.

●Presented technical findings to stakeholders and senior leadership.

Technologies: SQL, Azure Data Factory, Azure Data Lake Storage (ADLS), SQL Server, Oracle

The University of Tennessee – Knoxville, TN

Graduate Research Assistant / Graduate Teaching Assistant August 2014 – July 2019

●Conducted econometric and statistical modeling using linear regression, Difference-in-Differences, and Instrumental Variables to analyze large-scale external datasets and extract insights.

●Taught undergraduate economics courses.

EDUCATION

Ph.D. in Economics, University of Tennessee, Knoxville, Tennessee August 2014 - July 2020

M.S. in Mathematics, Bangladesh University of Business & Technology, Dhaka, Bangladesh

B.Sc. in Applied Physics, Electronics & Communication Engineering, University of Dhaka, Dhaka, Bangladesh

CERTIFICATIONS

Microsoft Azure Data Scientist Associate

Deep Learning Specialization – Coursera

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