Akshit Sanjay Gaur

Machine Learning and AI Enthusiast

"The most valuable trees aren't the ones that grew fastest—they're the ones that grew truest to their nature."

— Akshit Gaur

About Me

Dynamic Technical Product Manager with a robust background in developing AI-driven automation solutions and extensive experience in integrating and testing complex systems using Python, C#, and Java. Proven track record of managing and optimizing CI/CD pipelines, leveraging big data tools, and contributing to Agile projects, ensuring high-quality software delivery.

Residence United States
Address Sunnyvale, California
e-mail Akshitgaur997@gmail.com
Phone +1 (408)-594-8958

What I Do

Machine Learning

Proficient in designing and implementing machine learning models with hands-on experience in supervised, unsupervised, and deep learning algorithms. Skilled in data preprocessing, feature engineering, and model evaluation using Python and popular ML libraries like TensorFlow, Keras, and Scikit-learn. Demonstrated ability to translate business problems into machine learning solutions, optimizing performance and accuracy.

Data Science

Experienced in leveraging statistical analysis, machine learning, and data visualization to extract actionable insights from complex datasets. Proficient in data wrangling, exploratory data analysis, and predictive modeling using Python, R, and SQL. Adept at communicating findings to stakeholders and driving data-driven decision-making processes.

Software Engineering

Skilled in designing, developing, and deploying robust software solutions with proficiency in multiple programming languages, including Python, Java, and C++. Experienced in full-stack development, software architecture, and optimizing code for performance and scalability. Strong ability to collaborate in Agile environments, ensuring high-quality code through rigorous testing, code reviews, and continuous integration practices.

Product Management

Experienced in leading cross-functional teams to develop and launch successful products, driving end-to-end product lifecycle management. Proficient in market research, user-centered design, and data-driven decision-making to define product roadmaps and prioritize features. Strong ability to balance customer needs with business goals, ensuring alignment with strategic objectives and delivering impactful results.

Resume

Education

2025

Carneigie Mellon University - Silicon Valley

Masters in Science in Software Management

Course Work: Engineering management, Foundations of Software Engineering, Machine learning, Deep Learning, Computer Networks

2020

Univeristy of Waterloo

Bachelors in Mathematics Honors with a Minor in Computer Science and Economics

Coursework: Objected Orientated Programming, Data Structures, Computer Networks, Data Management

Experience

2025 - 2025

Carneigie Mellon University Mountain View, California

Teaching Assistant - Innovation and Entrepreneurship

Teaching what I love the most, innovation and entrepreneurship in AI product development and how to be entrepreneurial in the age of AI and Machine Learning.

2025 - 2025

GFI Partners Boston, Massachusetts

Agentic AI Engineer Intern

Reduced manual invoice processing time by 75% by designing multi-agent LLM automation pipelines for utility invoice processing and accounting integration.

2022 - 2024

Corus Entertainment Toronto, Ontario

Technical Project Manager

Led the development of 650 test automations, integrated them into CI/CD pipelines, and built an integration layer processing 150,000 data points daily, leveraging expertise in Python, C#, CI/CD, and various other technologies.

2021 - 2022

Multi Health System Toronto, Ontario

Python Developer

Integrated Shopify storefront with CRM using Python and .Net, improved dispute response time by 400% with AI, and conducted statistical analysis on medical data, leveraging Python, C#, and RPA systems.

2018 - 2018

CIBC Mellon Toronto, Ontario

Technical Financial Analyst - Toronto, Ontario

Leveraged Numpy and Pandas for financial analysis and forecasting, delivered P&L reports, co-developed a five-year budget plan, optimized asset administration, and created reports for Canada's top pension funds.

2017 - 2017

Sun Life Financial Toronto, Ontario

Innovative Web Developer

Collaborated with executives for Go-Live, optimized data processing with cloud ETL tools, and developed, tested, and deployed a Google Home chatbot using Node.js and xCode on AWS and Azure.

Volunteering Experience

2021 - Present

Code in Place, Stanford University Palo Alto, California

Python Instructor

Promoted to Head TA for Stanford University's Code in Place in May 2022, where I led a team of 12 Python instructors. Together, we taught Python fundamentals to students globally, leveraging Stanford's extensive network of 11,000 students.