Pulkit Saxena

Data Scientist & Machine Learning Engineer

AI/ML specialist focused on LLMs and Generative AI with proven track record of driving business impact through data-driven solutions and team leadership.

About Me

Passionate about leveraging data science to solve real-world problems

Pulkit Saxena
LinkedIn GitHub

I'm a Data Scientist with expertise in Large Language Models (LLMs) and Generative AI, currently at University of Rochester where I've integrated LLMs into production data pipelines, improving efficiency by 30%. With an MS in Data Science from Rochester Institute of Technology, I specialize in building AI-powered analytics platforms that drive measurable business impact.

I have proven leadership experience from leading cross-functional teams of analysts and engineers, achieving 40% month-over-month growth in credit disbursals at a Y Combinator startup. My experience spans fintech, telecommunications, and research institutions, where I've mentored junior talent, established ML best practices, and delivered solutions processing 800GB+ of data. I'm rapidly expanding my expertise in modern LLM technologies while applying proven ability to translate AI capabilities into business value.

My technical stack centers on modern AI/ML technologies: Python, SQL, PyTorch, Transformers, MLOps workflows, and cloud platforms (AWS, GCP, BigQuery, Snowflake). I've published research in IEEE conferences and built production systems serving 500,000+ users. I thrive in environments where cutting-edge AI meets practical business challenges, turning data into competitive advantages.

Key Achievements

Research Analytics Platform

University of Rochester

2024
  • Built research analytics platform processing 800GB+ data using BigQuery, Python, and SQL
  • Integrated Large Language Models (LLMs) into data pipelines, improving efficiency by 30%
  • Applied Generative AI and MLOps workflows for automated code generation and optimization
  • Increased research focus and media coverage by 20% through interactive dashboards

Risk Strategy Automation

T-Mobile USA

2023
  • Engineered automated Risk Strategy Simulation Tool boosting productivity by 40%
  • Reduced investigation time by 75% through RCA-inclusive alerts
  • Analyzed 35% policy deviation using Snowflake, Databricks, and Pandas

Credit Risk Models

RedCarpetUp (YC S15)

2019-2021
  • Led cross-functional teams of analysts and software engineers achieving 40% MoM growth
  • Mentored junior analysts and interns, establishing ML best practices and workflows
  • Implemented XGBoost-based models with A/B testing across 4,000+ customers
  • Identified ₹5.2M in revenue opportunities through EDA on 5TB customer data

Technical Expertise

Comprehensive skill set spanning the entire data science pipeline

AI & Machine Learning

Large Language Models (LLMs) Generative AI Machine Learning Deep Learning MLOps Natural Language Processing

Programming & Frameworks

Python SQL R TensorFlow PyTorch Scikit-learn XGBoost Transformers

Data Engineering & Analytics

dbt Apache Airflow Tableau Looker Pandas PostgreSQL A/B Testing

Cloud & Big Data

AWS (SageMaker, S3, Lambda) Google Cloud Platform BigQuery Snowflake Databricks Apache Spark

Let's Work Together

Ready to turn your data into actionable insights? Let's discuss how I can help drive your next project.

Start a Conversation View Full Experience