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Hi, I’m Rutwik Patil. I am an AI engineer with 5+ years of experience designing and deploying machine learning and AI systems across healthcare, telecom, ed-tech analytics, manufacturing, and enterprise SaaS. I excel at building end-to-end data and AI pipelines using Python, SQL, AWS, and open-source frameworks, and I enjoy partnering with product and engineering teams to turn complex problems into measurable business impact. I thrive in cross-functional settings, focusing on governance, adoption, and ROI while delivering scalable, reliable AI solutions. I’m open to relocation and excited to contribute to innovative AI initiatives.…Hi, I’m Rutwik Patil. I am an AI engineer with 5+ years of experience designing and deploying machine learning and AI systems across healthcare, telecom, ed-tech analytics, manufacturing, and enterprise SaaS. I excel at building end-to-end data and AI pipelines using Python, SQL, AWS, and open-source frameworks, and I enjoy partnering with product and engineering teams to turn complex problems into measurable business impact. I thrive in cross-functional settings, focusing on governance, adoption, and ROI while delivering scalable, reliable AI solutions. I’m open to relocation and excited to contribute to innovative AI initiatives.

Rutwik Patil

AI Engineer, Data Analyst, Data Scientist, +1

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Hi, I’m Rutwik Patil. I am an AI engineer with 5+ years of experience designing and deploying machine learning and AI systems across healthcare, telecom, ed-tech analytics, manufacturing, and enterprise SaaS. I excel at building end-to-end data and AI pipelines using Python, SQL, AWS, and open-source frameworks, and I enjoy partnering with product and engineering teams to turn complex problems into measurable business impact. I thrive in cross-functional settings, focusing on governance, adoption, and ROI while delivering scalable, reliable AI solutions. I’m open to relocation and excited to contribute to innovative AI initiatives.…Hi, I’m Rutwik Patil. I am an AI engineer with 5+ years of experience designing and deploying machine learning and AI systems across healthcare, telecom, ed-tech analytics, manufacturing, and enterprise SaaS. I excel at building end-to-end data and AI pipelines using Python, SQL, AWS, and open-source frameworks, and I enjoy partnering with product and engineering teams to turn complex problems into measurable business impact. I thrive in cross-functional settings, focusing on governance, adoption, and ROI while delivering scalable, reliable AI solutions. I’m open to relocation and excited to contribute to innovative AI initiatives.

Available to hire

Hi, I’m Rutwik Patil. I am an AI engineer with 5+ years of experience designing and deploying machine learning and AI systems across healthcare, telecom, ed-tech analytics, manufacturing, and enterprise SaaS. I excel at building end-to-end data and AI pipelines using Python, SQL, AWS, and open-source frameworks, and I enjoy partnering with product and engineering teams to turn complex problems into measurable business impact.

I thrive in cross-functional settings, focusing on governance, adoption, and ROI while delivering scalable, reliable AI solutions. I’m open to relocation and excited to contribute to innovative AI initiatives.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

AI Engineer at Reliath AI Remote

September 1, 2025 - February 1, 2026

Scaled an early-stage AI SaaS platform from 0 to 1, focusing on AI outcomes, governance, adoption, and ROI; built production AI applications combining NLP, retrieval-augmented generation (RAG), and agentic workflows; streamlined Python/PySpark pipelines processing terabyte-scale structured and unstructured data into ML-ready feature stores; developed an AI-powered eDiscovery platform performing sentiment analysis, topic extraction, and entity recognition across thousands of legal documents; applied parameter-efficient model customization techniques (instruction tuning, prompt adapters, task-specific fine-tuning) to optimize LLM behavior for classification and summarization; established governance with ISO/IEC 42001 principles; built GTM automation to capture inbound leads and route to CRM + Slack; led drug discovery PoC with foundation models.

Solutions Engineer – Analytics & Automation at Maryland, USA

February 1, 2025 - February 1, 2026

End-to-end ML systems and AWS-native AI workflows for healthcare clients; designed AI-driven automation that reduced 1,600 hours/week of manual effort to under 8 hours/week; added hallucination monitoring and fidelity checks; reduced hallucinations via RAG with source attribution and guardrails; built an in-house AI governance tool for policy alignment and risk evaluation; created scalable data pipelines for feature engineering and ML-ready outputs; improved PoV-to-contract conversion by 25%; delivered executive demos and narratives to support 30+ PoV engagements.

Data Engineer at University of Maryland

December 1, 2023 - May 1, 2025

Revamped legacy systems and built modern data architectures to improve operational efficiency and analytics capabilities; automated manual approval and reporting workflows, reducing turnaround from 4 days to under 1 hour; designed self-serve dashboards for 1,500+ students and 50+ advisors; built modular analytics-ready data models; authored documentation and dashboard guides to enable sustainable self-serve analytics adoption.

Data Analyst at Lechner Remote, India

September 1, 2021 - June 1, 2023

Data analytics and BI solutions for manufacturing operations; built automated data cleaning and pre-processing pipelines; designed and deployed Power BI dashboards to monitor production throughput, quality deviations, and anomaly trends; developed predictive models (Random Forest, XGBoost) to improve machine maintenance planning; partnered with operations and quality teams to translate analytical findings into actionable process improvements.

Data Analyst at Mosdorfer, Mumbai, India

May 1, 2020 - February 1, 2021

Executive reporting, cost analytics, and forecasting; designed ETL workflows; built regression-based forecasting models reducing total costs; created executive dashboards to visualize cost drivers, utilization, and performance metrics; standardized reporting logic and metrics definitions across departments.