Varun Pawar — Machine Learning Engineer

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 5,000 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 Models 🔹Cloud & Infrastructure: AWS (SageMaker, EC2, S3, Step Functions), Docker, Kubernetes 🔹Data & Analytics: Python, SQL, Pandas, BigQuery, MongoDB, MySQL, PostgreSQL, Tableau, Superset 🔹Automation & 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.

Stackforce AI infers this person is a Machine Learning Engineer specializing in AI-driven automation within the Insurance sector.

Location: New Delhi, Delhi, India

Experience: 4 yrs

Skills

Machine Learning
Cloud Infrastructure
Automation
Operational Efficiency
Business Development
Data Science
Data Analysis
Sentiment Analysis

Career Highlights

Developed automation systems achieving 95% case volume coverage.
Trained over 5,000 students in AI and ML.
Generated $200K revenue through innovative POC.

Work Experience

Insurance Quantified

Machine Learning Engineer (3 yrs 9 mos)

Turing.com

Data Scientist (3 mos)

Cognizant

Programe Analyst Trainee (4 mos)

freelance

Freelance AI & Data Science Projects (3 yrs 5 mos)

Education

Bachelor of Technology - BTech at Maharaja Agrasen Institute Of Technology, Delhi

High School Diploma at Arwachin Bharti Bhawan Senior Secondary School

Varun Pawar

Machine Learning Engineer

New Delhi, Delhi, India4 yrs experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Developed automation systems achieving 95% case volume coverage.
Trained over 5,000 students in AI and ML.
Generated $200K revenue through innovative POC.

Stackforce AI infers this person is a Machine Learning Engineer specializing in AI-driven automation within the Insurance sector.

Contact

Skills

Core Skills

Machine LearningCloud InfrastructureAutomationOperational EfficiencyBusiness DevelopmentData ScienceData AnalysisSentiment Analysis

Other Skills

AWSApache KafkaArtificial Intelligence (AI)Big Data AnalyticsBlenderCC++Cloud ArchitectureData AnalyticsData AutomationData LakesData Quality AssuranceData StructuresData VisualizationData Warehousing

About

Experience

4 yrs

Total Experience

2 yrs

Average Tenure

3 yrs 9 mos

Current Experience

Insurance quantified

Machine Learning Engineer

Sep 2022 – Present · 3 yrs 9 mos · Remote

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

Generative AILLMsRAG SystemsLangChainHeuristic ModelsAWS+6

Turing.com

Data Scientist

Jun 2022 – Sep 2022 · 3 mos · Remote

Contributed to building data-driven ML models and automation workflows supporting global client projects. Focused on improving system accuracy, predictive efficiency, and analytical reporting through advanced data science tools, Python-based frameworks, and SQL optimization.
Achievements:
Designed and optimized predictive ML models for real-time data interpretation and trend forecasting.
Enhanced analytical reporting pipelines through feature engineering and efficient data structuring.
Built reusable data modules and visual dashboards to improve project visibility and analytical clarity.
Improved data integrity and consistency across model deployments through automated validation and testing.
Machine Learning, Python, SQL, Predictive Modeling, Data Analytics, Feature Engineering, Data Visualization

Machine LearningPythonSQLPredictive ModelingData AnalyticsFeature Engineering+2

Cognizant

Programe Analyst Trainee

Feb 2022 – Jun 2022 · 4 mos · Gurugram, Haryana, India

Worked on Python, SQL, and AWS-based training projects focused on data analysis, prediction, and warehousing. Developed a strong foundation in cloud architecture and data lake concepts while applying analytical techniques to project-based learning.
Built Python-based data analysis scripts to extract and transform structured datasets.
Utilized AWS for solution design and deployment, aligning with Solution Architect principles.
Created small-scale data warehouse models integrating data lake concepts for predictive analysis.
Strengthened analytical workflows by combining SQL queries and automation scripts for cleaner outputs.
Python, SQL, AWS, Data Warehousing, Data Lakes, Cloud Architecture, Data Analysis

PythonSQLAWSData WarehousingData LakesCloud Architecture+2

Freelance

Freelance AI & Data Science Projects

Aug 2018 – Jan 2022 · 3 yrs 5 mos · India

Executed independent AI and data-driven projects, applying Python, VBA, and ML techniques to solve practical problems for clients. Focused on automation, data analysis, and sentiment modeling to improve operational efficiency and decision-making.
Achievements:
Developed a ship tracker application using Excel VBA to scrape and process maritime data, increasing system efficiency by 27%.
Built an end-to-end Twitter sentiment analysis system for a UK-based client, improving profit margins by 5%.
Designed reusable Python scripts and data workflows to automate client-specific analytics tasks.
Applied data preprocessing and visualization techniques to provide actionable insights from unstructured datasets.
Python, VBA, Data Analysis, Data Automation, Sentiment Analysis, Machine Learning, Data Visualization

PythonVBAData AnalysisData AutomationSentiment AnalysisMachine Learning+3