Open to opportunities

Asfar Rizvi

@rizviasyed

Message

Senior AI/ML engineer driving production GenAI and ML systems to deliver measurable business outcomes.

United States

Message

What I'm looking for

I seek senior ML/AI roles where I can lead GenAI and production ML systems, mentor teams, and deliver measurable product and business impact in collaborative, data-driven environments.

I am a Senior AI/ML Engineer with ten years of experience designing and shipping production-grade AI products across consulting and digital-platform environments. I lead GenAI and agentic automation efforts and deliver measurable business impact through robust ML systems.

My work includes building LLM-powered virtual assistants that auto-resolve 70% of inquiries, a personalization stack that increased CTR by 60% and revenue per visitor by 10%, and a geospatial ETA platform that improved accuracy and reduced dwell times.

Technically, I combine deep ML expertise (PyTorch, TensorFlow, XGBoost/LightGBM) with modern GenAI/RAG toolchains (Hugging Face, LangChain, LangGraph, Pinecone/FAISS) and production MLOps (FastAPI, Docker/Kubernetes, AWS/GCP, Spark/BigQuery) to scale real-world systems.

I have led cross-functional product launches, mentored junior engineers, and driven platform-level initiatives such as drug-discovery generative models and enterprise data platforms, consistently focusing on reliability, observability, and downstream business metrics.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

Deloitte

Jul 2023 - Present (2 years 3 months)

Built a geospatial ETA platform predicting truck wait times with 20-minute accuracy, cutting logistics dwell times by 15% and productizing real-time Facility Insights used for dispatch optimization.

Geospatial PyTorch Spark Docker Kubernetes fastAPI AWS

ML Software Engineer

Accenture

Apr 2020 - Jul 2023 (3 years 3 months)

Deployed a multilingual LLM-based virtual assistant resolving ~70% of inquiries and reducing response times by ~70% via a RAG framework and multi-agent orchestration for production conversational AI.

Hugging Face Pinecone LangGraph fastAPI Docker AWS RAG

AI/ML Engineer

Capgemini

Jan 2019 - Mar 2020 (1 year 2 months)

Re-architected a real-time recommendation pipeline increasing CTR by 60% and revenue per visitor by 10% through embeddings, Google Recommendations AI prototyping, and automated retraining pipelines.

Embeddings BigQuery Google Cloud Spark A B Testing Python

Machine Learning Engineer

Uber

Jan 2016 - Dec 2018 (2 years 11 months)

Co-built ML components for Uber Eats recommendations and support automation, improving home-feed CTR and reducing support handling time via GBDT and early deep-learning models.

XGBoost LightGBM Spark A B Testing Docker Online Scoring NLP

Data/ML Engineer

Airbnb

Jun 2013 - Dec 2015 (2 years 6 months)

Built an early Location Relevance search model that improved booking conversions and reduced irrelevant results by engineering geo and listing features and deploying reproducible data pipelines.