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Tanuj Sansare

@tanujsansare

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AI engineer specializing in production GenAI systems, scalable backend architectures, and vision+LLM pipelines.

India

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What I'm looking for

I seek roles building production GenAI/ML systems with end-to-end ownership, scalable backend infrastructure, and opportunities to apply research to real products.

I am an AI engineer focused on building production-grade GenAI systems that combine large language models and vision models to automate creative and metadata workflows.

At Bajaj Finance Limited I architected a GenAI banner creation pipeline that reduced manual creative effort by 70% and scaled to over 9,000 daily banner generation requests using FastAPI, RabbitMQ, and Celery.

I built RAG pipelines with embeddings and FAISS, a ViT-based quality-control system, and optimized inference using ONNX Runtime and quantization to cut latency from 54 minutes to 1 minute.

I enjoy end-to-end system design, integrating design tools via MCP, instrumenting dashboards for governance, and applying ML research in production to deliver measurable business impact.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

Bajaj Finance Limited

May 2024 - Present (1 year 8 months)

Architected and deployed production GenAI banner creation and RAG-based metadata tagging systems, reducing manual creative effort by 70% and cutting banner generation latency by 98% while scaling to 9,000+ daily requests.

LangChain Lang Chain RAG fastAPI RabbitMQ Celery ONNX Runtime Faiss

Software Development Intern

Bajaj Finance Limited

Jan 2024 - Jun 2024 (5 months)

Built a centralized KPI analytics portal and integrated LLM-based KPI inference to summarize trends and anomalies, improving dashboard load times by 15%.

PostgreSQL Swagger Postman LLM REST APIs

Education

Degrees, certifications, and relevant coursework

College of Engineering Pune (COEP)

Bachelor of Technology, Electronics and Telecommunications Engineering

2020 - 2024

Grade: 8.69 / 10.0

Activities and societies: Relevant coursework: Machine Learning, Deep Learning, Distributed Systems, Data Structures & Algorithms, DBMS; ISRO-backed research on satellite telemetry optimization.

Completed a Bachelor of Technology in Electronics and Telecommunications Engineering with a minor in Computer Engineering, focusing on machine learning, distributed systems, and data structures.