Looking for a job

Saqib User

@saqibuser2

Message

AI/ML Engineer at Bain & Company building multi-agent platforms and synthetic personas with 90% response fidelity.

India

Message

At Bain & Company, I architected a synthetic persona pipeline that reached 90% response fidelity and reduced survey costs by 40%. I also developed a consulting agent orchestration platform with enterprise retrieval and cloud-native RAG workflows.

At Honasa Consumer Ltd. (Mamaearth), I developed a computer-vision skin assessment tool and trained a PyTorch model that produced 64-D spatial embeddings for store allocation search. I’m also building Reagent, a modular multi-agent runtime with a FastAPI API layer and Langfuse observability.

Experience

Work history, roles, and key accomplishments

Current

AI/ML Engineer

Current

Bain & Company

Mar 2025 - Present (1 year 8 months)

Architected end-to-end persona generation pipelines using StepMix and PCA, achieving 90% response fidelity and reducing survey costs by 40%. Built a hierarchical multi-agent orchestration platform with FastAPI, PostgreSQL, Redis, and Celery, and developed full-stack internal applications for expert network management.

StepMix PCA fastAPI PostgreSQL Pgvector Redis Celery Lang Chain LangGraph PyTorch OpenAI Anthropic Google Portkey C#VSTO SQLite Electron Next.js RAG LLM A B Testing

Data & ML Engineer

Honasa Consumer Ltd. (Mamaearth)

Jun 2022 - Mar 2025 (2 years 9 months)

Developed a multi-angle Skin Assessment Tool with computer vision and a Vertex AI RAG pipeline for personalized product recommendations. Trained a PyTorch neural network with entity embeddings and FAISS indexing to optimize store allocation search latency to under 10ms, and architected scalable GCP infrastructure with BigQuery and serverless functions.

PyTorch Computer Vision Vertex AI RAG Faiss GCP GCS BigQuery Google Cloud Functions AWS Lambda Pub Sub NodeJS React

Data Engineer

LTIMindtree

Jun 2021 - May 2022 (11 months)

Collaborated with stakeholders to gather data requirements and delivered customized reports and visualizations. Developed and maintained data analytics frameworks and implemented SDMX-compliant data standards for consistency and interoperability.

Data Analysis SDMX Data Pipelines Visualization