Varun Pawar

About Varun Pawar

I build intelligent AI systems that transform complex data into actionable insights. With hands-on experience in ML, Generative AI, and LLM-driven automation, I focus on creating solutions that simplify workflows while delivering measurable operational impact. My journey spans data science roles, freelance AI projects, and instructional work, giving me a broad perspective on applying machine learning to real-world challenges.In my current role as ML Engineer at Two Sigma Insurance Quantified, I develop LLM extraction models, RAG-based workflows, and automation systems that improve efficiency across email and application processing. I have built ACORD automation systems handling 95% of the volume, enhanced LossRun automation by 40%, and contributed to a POC for a cannabis insurance carrier generating $200K revenue. I also support operations teams with dashboards and analytics using Superset and Tableau, while managing cloud workflows on AWS with Docker and Kubernetes.Over the years, I have engaged in freelance AI projects and instructional roles, training over students in AI, ML, and Generative AI. I design practical project-based curriculums covering Python, NLP, LLMs, and MLOps, mentoring learners to build hands-on solutions using OpenAI, LangChain, and Hugging Face. This experience has deepened my technical expertise while keeping me connected to emerging trends in AI and automation.Some of My Key Highlights:AI & ML Expertise: Generative AI, LLMs, RAG Systems, Prompt Engineering, Heuristic ModelsCloud & Infrastructure: AWS (SageMaker, EC2, S3, Step Functions), Docker, KubernetesData & Analytics: Python, SQL, Pandas, BigQuery, MongoDB, MySQL, PostgreSQL, Tableau, SupersetAutomation & Operational Impact: ACORD automation (95% coverage), LossRun automation (40%+ efficiency gain,$100K+ monthly savings)I am always exploring ways to apply advanced AI techniques to solve practical problems, while learning and experimenting with emerging technologies to push the boundaries of automation and intelligent systems.

Experience

1. Machine Learning Engineer

   Insurance Quantified

   Sep 2022 — Present

   I design and refine AI-driven automation models that extract, classify, and process unstructured insurance data using LLMs, RAG systems, and LangChain frameworks. My work emphasizes building efficient, reliable, and scalable ML workflows in production.My focus extends to optimizing ACORD and LossRun automation, improving operational efficiency through heuristic and transformer-based models. I also manage analytics dashboards and AWS-based cloud infrastructure supporting real-time decision-making.Achievements- Enhanced application and email automation accuracy using LLM and Gemini frameworks, improving workflow performance by over 45%- Developed ACORD automation covering 95% of case volume, minimizing manual effort and data errors- Boosted LossRun automation efficiency by 40% through model refinement and heuristic optimization, saving over $100K monthly- Built and managed a POC for a cannabis insurance carrier, increasing revenue generation by $200K- Created performance dashboards with Superset and Tableau to enable monitoring and data-backed insights for ops teams.Generative AI, LLMs, RAG Systems, LangChain, Heuristic Models, AWS, Docker, Kubernetes, Superset, Tableau

Education

• Maharaja Agrasen Institute Of Technology, Delhi

  Bachelor of Technology - BTech, Computer Science

  2018 — 2022

• Arwachin Bharti Bhawan Senior Secondary School

  High School Diploma, Science