Rashid Malik
Enterprise GenAI & LLM Systems Architect | 90%+ Automation Impact | Remote AI Consultant | AI Strategy & Team Leadership | Agentic AI | Computer Vision & NLP
- Role
- Senior Data Scientist at Electrifai
- Location
- New Delhi, DL, IN
- LinkedIn followers
- 500 followers
About Rashid Malik
I design and scale enterprise-grade AI systems that move beyond proof-of-concepts into production-ready platforms.With 7+ years of experience across consulting, insurance, and smart city deployments, I specialize in architecting GenAI and LLM-based systems that deliver measurable business impact — including 90%+ automation efficiency and $500K+ cost savings.My expertise spans:• Enterprise RAG architectures with structured + unstructured data integration• Distributed LLM fine-tuning (LoRA, FSDP, DeepSpeed)• Low-latency inference pipelines (vLLM, TensorRT, OpenVINO)• Hallucination mitigation and evaluation frameworks• Event-driven AI workflow orchestrationI’ve led large-scale AI initiatives including: Smart city traffic systems achieving 98% detection accuracy with optimized inference pipelines Enterprise proposal automation using RAG, reducing manual effort by 80%+ Conversational AI platforms increasing engagement by 25%My approach focuses on system design before model selection — ensuring scalability, observability, cost efficiency, and governance from day one.I work at the intersection of:AI Architecture × Platform Engineering × Business ImpactOpen to:• Remote Enterprise AI Architecture roles• GenAI platform consulting• LLM system design collaborationsLet’s build AI systems that scale — not just demos.
Experience
Senior Data Scientist
Feb 2023 — Present · Delhi, IN
Led client engagement, devising tailored solutions to address business challengesIntegrated advanced deep learning techniques to optimize customer call analysis from audioStreamlined Customer Center operations, ensuring high customer satisfactionApplied sentiment analysis methods to assess customer-agent interactionsProvided vital insights for comprehensive analysis and strategic decision-makingDeveloped applications on Large Language Models (LLM) for effective problem-solvingEnhanced open-source LLM models to address complex business problemsSpearheaded the creation of a Retrieval Augmented Generation chatbot utilizing LLM power
Education
MEERUT INSTITUTE OF TECHNOLOGY, BARAL, PARTAPUR, MEERUT
Bachelor's degree, Computer Science
2015 — 2019
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