Arjun Sharma
@arjunsharma7
Senior AI/ML engineer specializing in LLM systems, RAG, and scalable AI platforms.
What I'm looking for
I am a Senior AI/ML Engineer with 10+ years building production-grade LLM systems and scalable AI platforms, focused on Retrieval-Augmented Generation (RAG), model optimization, and low-latency inference. I have a proven track record of improving model accuracy by 35%, reducing inference latency by 30%, and delivering enterprise AI solutions at scale.
At Anthropic and Scale AI I designed end-to-end AI platform architectures, built high-throughput inference systems, implemented vector-database-backed RAG pipelines (FAISS, PgVector), and developed model evaluation frameworks for hallucination detection and monitoring. I combine strong data engineering, ML, and full-stack experience to drive reliable, scalable production deployments.
Experience
Work history, roles, and key accomplishments
Designed and deployed production-grade LLM systems and scalable RAG pipelines, improving model response accuracy by 35% and reducing inference latency by 30% for real-time enterprise applications.
Built large-scale ETL pipelines with Apache Spark to improve data processing efficiency by 50% and developed ML models for NLP and anomaly detection, automating pipelines to cut manual effort by 60%.
Developed scalable full-stack web applications and microservices (React, Node.js, Django), optimizing performance to reduce load times by 40% and supporting high-availability systems at scale.
Software Engineer
Snapdeal
Jan 2014 - Dec 2017 (3 years 11 months)
Developed backend services and RESTful APIs for e-commerce platforms, improving system performance and scalability through optimization and code refactoring.
Education
Degrees, certifications, and relevant coursework
Rensselaer Polytechnic Institute
Bachelor of Science, Mechanical Engineering
2012 - 2015
Activities and societies: Exchange program at Nanyang Technological University (Jan–Dec 2014).
Completed a Bachelor of Science in Mechanical Engineering with an exchange semester at Nanyang Technological University in 2014.
Availability
Location
Authorized to work in
Job categories
Skills
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