Harshwardhan Patil
Data/ML/AI Engineer
I am a Machine Learning Engineer exploring the quantitative field, with a simple motto: Aspire and create to inspire!
Currently serving as a Machine Learning Engineer at Upper Hand AI, I specialize in developing production-grade recommendation systems and data analytics solutions. My expertise spans Python, PyTorch, TensorFlow, and various ML algorithms, with a proven track record of generating business impact through innovative data-driven solutions. I'm passionate about solving complex problems through intelligent algorithms and continuously pushing the boundaries of what's possible with machine learning.
Education
Master's in Data Science
Indiana University, Bloomington, IN, USA (2022 - 2024)
- President and Director of Public Relations, Data Science Club at IU
- DS Representative at Graduate & Professional Student Government
- Adobe Student Ambassador for Indiana University
- Luddy Outstanding Service Award, May 2023 & May 2024
- Runner-up at NACE Starleague Chess Tournament - Division 20 (Indiana University Chess Team), Fall 2023
- Third Place at GT-IDEA Case Competition, November 2023
Bachelor's in Computer Science
Shivaji University, Kolhapur, India (2016 - 2020)
- Co-Founder, Code-Space (Programming Club)
- Head, Student's Training and Placement Committee (2019-2020)
- Member, Student's Council of DOT (2017-2020)
- Anchor, cultural show 'Symphony' (editions 2K18, 2K19, 2K20)
- Member, 'Harit Sena Dal' (2017-2019)
- Player, DOT-CST's Kabaddi and Kho-Kho Team
Experience
Machine Learning Engineer
Upper Hand AI, Indianapolis, IN (May 2024 – Present)
- Designed, Developed and Managed of event recommendation algorithms, achieving 63% production accuracy.
- Generated $800 in MRR by implementing profit and loss transformations on QuickBooks data and extracting key KPIs, including MRR, ARR, and YoY & MoM changes in revenue, expenses, and net profit.
- Designed and developed a dashboard to analyze the demographic and economic characteristics of client locations, providing a competitive advantage that generated an additional $2,500 ARR.
System Engineer
Indiana University, Bloomington, IN (Nov 2020 – July 2022)
- Modified more than 50 ETL and ELT pipelines for streamlining data collection, integration and processing.
- Achieved a 20% improvement in database performance through Query Optimization and Index Tuning.
- Improved Operational excellence by 30% by automating job monitoring and recovery processes.