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I am an AI/ML engineer with 3+ years of experience building production chatbots and NLP/ML pipelines, integrating LLMs, prompt strategies, and cloud deployment with monitoring and KPI-driven impact. I collaborate cross-functionally with product, sales, and customer success to translate business questions into measurable ML KPIs and actionable outputs. I enjoy delivering robust end-to-end solutions on Azure, AWS, and GCP with an emphasis on reliability, monitoring, and scalable deployment.…I am an AI/ML engineer with 3+ years of experience building production chatbots and NLP/ML pipelines, integrating LLMs, prompt strategies, and cloud deployment with monitoring and KPI-driven impact. I collaborate cross-functionally with product, sales, and customer success to translate business questions into measurable ML KPIs and actionable outputs. I enjoy delivering robust end-to-end solutions on Azure, AWS, and GCP with an emphasis on reliability, monitoring, and scalable deployment.

Anees Ahmad Abbasi

Data Scientist, Developer, DevOps Developer, +7

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I am an AI/ML engineer with 3+ years of experience building production chatbots and NLP/ML pipelines, integrating LLMs, prompt strategies, and cloud deployment with monitoring and KPI-driven impact. I collaborate cross-functionally with product, sales, and customer success to translate business questions into measurable ML KPIs and actionable outputs. I enjoy delivering robust end-to-end solutions on Azure, AWS, and GCP with an emphasis on reliability, monitoring, and scalable deployment.…I am an AI/ML engineer with 3+ years of experience building production chatbots and NLP/ML pipelines, integrating LLMs, prompt strategies, and cloud deployment with monitoring and KPI-driven impact. I collaborate cross-functionally with product, sales, and customer success to translate business questions into measurable ML KPIs and actionable outputs. I enjoy delivering robust end-to-end solutions on Azure, AWS, and GCP with an emphasis on reliability, monitoring, and scalable deployment.

Available to hire

I am an AI/ML engineer with 3+ years of experience building production chatbots and NLP/ML pipelines, integrating LLMs, prompt strategies, and cloud deployment with monitoring and KPI-driven impact.

I collaborate cross-functionally with product, sales, and customer success to translate business questions into measurable ML KPIs and actionable outputs. I enjoy delivering robust end-to-end solutions on Azure, AWS, and GCP with an emphasis on reliability, monitoring, and scalable deployment.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

French

Advanced

Work Experience

Data Scientist Intern at Artifeel

May 1, 2025 - November 1, 2025

Developed and deployed RUL models for IoT devices; built real-time pipelines for 10K+ IoT devices to compute cumulative features and store data in PostgreSQL; built end-to-end MLOps pipelines (training, batch scoring, API serving) in Python with Git-based CI/CD; created a Linux-based Azure Function App pipeline with environment variables and monitoring/logs via Application Insights; implemented GitHub Actions CI/CD to deploy code changes from GitHub to Azure WebApp services; containerized ML services with Docker and exposed to Kubernetes/AKS-style orchestration; built monitoring dashboards and KPIs (latency, error rates, data freshness and drift) portable to Grafana.

ML / Data Engineer at Lune®

November 1, 2020 - October 1, 2023

Built an MLflow-based training/eval platform with CI/CD, reducing experiment cycles by 50% and Docker inference latency by 40%; benchmarked GCP Vertex AI and other managed ML services; developed an internal ML platform with experiment tracking and artifact management similar to registry concepts; integrated open-source models (e.g., Whisper, LLaMA) into production endpoints using MLOps best practices and CI/CD-driven releases; deployed model services on cloud PaaS with Kubernetes/GPU support for training and AI inference.

Power BI / Data Analyst Intern at (PTCL)

February 1, 2020 - August 1, 2020

Built Power BI dashboards with advanced DAX for ARPU, churn and downtime; designed ETL pipelines (Power Query, SQL Server) for 250K+ records with 97% data accuracy and automated refresh schedules.

Data Scientist at Artifeel

May 1, 2025 - November 1, 2025

Built supervised RUL models in Python for IoT battery life prediction; created reproducible feature datasets for 10K+ devices in PostgreSQL; developed end-to-end pipelines (training, batch scoring, API serving) with Git-based CI/CD on Azure Functions/Web Apps; monitored latency, error rate, coverage, and device health via Application Insights; delivered MLOps/dataOps pipelines and defined ML success KPIs in collaboration with product/sales/CS.

Machine Learning Engineer at Lune®

November 1, 2020 - October 1, 2023

Designed an internal ML platform in Python with MLflow for supervised learning, reducing model experimentation time by 50% and improving model comparison reliability. Built and maintained CI/CD pipelines (Git, Docker) to train, evaluate and deploy models on cloud infrastructure (Azure, AWS; exposure to GCP Vertex AI), prioritizing performance (-40% inference latency) and robustness. Implemented NLP pipelines for entity/relationship extraction and knowledge graphs; modeled AIS vessel time-series data for optimization, anomaly detection, and predictive maintenance; delivered GenAI chatbot/assistant improvements with contextual responses and production deployment.

Data Analyst Intern at PTCL

February 1, 2020 - August 1, 2020

Built Power BI dashboards for ARPU, churn and downtime; designed ETL pipelines for 250K+ records with 97% data accuracy; created monitoring dashboards and KPIs (ARPU trend, churn, downtime, ticket volume) to track network and customer performance.