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Rishabh Malhotra

@rishabhmalhotra1

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Senior AI/ML engineer delivering production-ready, cost-efficient AI systems.

United States

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What I'm looking for

I seek roles where I can lead production AI efforts, build MLOps/platform infrastructure, mentor teams, and deliver measurable business impact while keeping solutions safe and cost-effective.

I am a senior AI and machine learning engineer with over eight years of software development experience and six years focused on AI, specializing in turning ML and GenAI prototypes into reliable, monitored production systems that reduce cost and operational risk.

I have led internal AI platforms and product-facing AI efforts, building reusable LLM and RAG patterns, CI/CD and MLOps pipelines, and scalable services using Python, Docker, Kubernetes, PyTorch, and cloud AI platforms. My work reduced duplicated effort, cut model and API spend, and improved adoption and trust in AI outputs.

I mentor engineers on production AI best practices, partner with leadership to align initiatives with measurable business outcomes, and prioritize pragmatic, safe, and cost-effective AI architectures that deliver real customer impact.

Experience

Work history, roles, and key accomplishments

Lead AI / ML Engineer

Iterative.ai

Jan 2024 - Jan 2026 (2 years)

Served as primary AI technical lead to design shared AI infrastructure and reusable LLM/RAG patterns, reducing duplicated AI work and cutting development time for new AI features by ~40% while saving an estimated $250K+ annually.

Python Docker Kubernetes LLM RAG Monitoring MLOps API Design Mentoring

Senior AI Engineer

WhyLabs

Feb 2021 - Jan 2024 (2 years 11 months)

Designed and built reliable, cost-effective LLM systems and RAG services using Python/FastAPI and PyTorch, driving adoption (60%+ of active users) and reducing LLM API spend by ~30% through prompt optimization and caching.

Python fastAPI PyTorch RAG Prompt Engineering MLFlow Monitoring

Machine Learning Engineer

FirmPilot

Feb 2020 - Jan 2021 (11 months)

Productionized ML models and early RAG/NLP pipelines for legal marketing and content generation, reducing inference costs by ~35% and improving lead-quality scoring accuracy by ~25%.

Python scikit learn TensorFlow RAG NLP ETL

Software Engineer

Workiz

Jul 2018 - Feb 2020 (1 year 7 months)

Built and maintained Java(Spring) backend services for scheduling, dispatch, and invoicing, reducing recurring backend errors by ~30% and improving API response times by ~20%.