Arpit Shah
@arpitshah
AI-focused software engineer specializing in full-stack development, machine learning, and data automation.
What I'm looking for
I am an AI-focused software engineer and researcher with hands-on experience building full-stack applications, ML models, and automated data pipelines that improve efficiency and model performance. I have deployed production-grade platforms, integrated large language models and OCR, and published peer-reviewed work on predictive modeling and computer vision.
I have contributed to academic AI labs and industry teams by optimizing ETL workflows, automating HPC documentation, mentoring students, and delivering responsive web applications and analytics tools. My work has reduced processing times, improved model accuracy, and guided product decisions through clean code, reproducible pipelines, and collaborative development.
Experience
Work history, roles, and key accomplishments
Research and Teaching Assistant
Pace University
Sep 2024 - May 2025 (8 months)
Built and automated ETL and documentation pipelines for AI lab workflows, reducing processing time by 30% and improving data integrity; automated HPC resource documentation and tuning workflows to yield a 15% model performance gain while mentoring 120+ students across two semesters.
Python Developer
YouGov Research India Pvt. Ltd.
Aug 2022 - Nov 2023 (1 year 3 months)
Engineered cross-platform surveys and optimized survey delivery scripts, reducing design errors by 45% and turnaround time by 30% while leading cross-regional requirements gathering to improve client satisfaction.
Web Development Intern
Suven Consultancy and Technologies Pvt. Ltd.
Jul 2021 - Aug 2021 (1 month)
Developed six responsive client websites using HTML, CSS, SASS, JavaScript and Bootstrap, increasing user engagement by 30% and improving delivery accuracy by 15% through agile requirement documentation.
Optimized real-time financial data processing in Python to reduce latency by 40% and developed Tableau dashboards to visualize 100+ simulated stock purchases, enabling 20% faster decision-making.
Education
Degrees, certifications, and relevant coursework
Pace University
Master of Science, Computer Science
Grade: 3.97
Master of Science in Computer Science with a 3.97 GPA, focused on AI, machine learning, and full-stack development.
University of Mumbai
Bachelor of Engineering, Computer Engineering
Grade: 9.6/10
Bachelor of Engineering in Computer Engineering with a 9.6/10 GPA, emphasizing software development and data analysis.
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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