Adhish Thite

About Me

Welcome to the high-octane, laugh-a-minute, heartwarming world of Adhish—your friendly neighborhood tech guru, music maestro, and AI aficionado.
Need help with your next gadget purchase? Look no further, because I'm the oracle you seek! Friends don't call me "Tech-nificent Adhish" for nothing.

But wait, there's more! Apart from being an all-around gadget savant, I'm also a maestro of melodies, with my trusty flute and snazzy synthesizer by my side. I find solace in the harmonious world of music, the enthralling realms of TV shows, and the enlightening pages of books.

I hold a Master's Degree in Computer Science from the prestigious UNC Charlotte and possess a voracious appetite for all things Data Science, Machine Learning, Deep Learning, and Computer Vision. As a firm believer in the power of Human-Computer Interaction and Artificial Intelligence, I'm on a mission to change lives and make the world a more extraordinary place, one algorithm at a time.

Contact Details

Adhish Thite
San Francisco, CA


University of North Carolina at Charlotte

M.S. (Computer Science) May 2019

  • Computer Vision
  • Machine Learning
  • Big Data Analytics for Competitive Advantage
  • Cloud Computing for Data Analytics
  • Visual Analytics
  • Knowledge Discovery in Databases
  • Algorithms and Data Structures

University of Pune

B.E. (Computer Engineering) May 2014

  • Theory of Computation
  • Computer Graphics
  • Advanced Computer Architecure
  • Computer Organization
  • Database Management Systems
  • Computer Networks


Senior Machine Learning Engineer

Synapse Financial Technologies Inc. December 2019 - Present (San Francisco, CA)

Data Scientist

Gemini Data Inc. August 2019 - December 2019 (San Francisco, CA)

  • Data Engineering

    Gemini provides enterprise-driven knowledge across data silos to bring your data to life. We use next-generation data virtualization technology that empowers AI/ML-driven intelligence across all enterprise data and silos.

Data Scientist (Intern)

Gemini Data Inc. April 2019 - June 2019 (San Francisco, CA)

  • Regex Pattern Generation

    Alleviated log analytics pipeline by 80% by writing software to extract regex combinations from unstructured log data to automatically parse & organize incoming real-time streams.

Machine Learning Engineer (Intern)

GoCollect February 2019 - Present (Charlotte, NC)

  • AI-based UX Enhancement

    Engineered a Computer Vision-based Deep Learning pipeline autonomously on Google Cloud Platform to accurately identify a comic book based on an image, decreasing search time by 30% as compared to text-based search.

  • Predictive Analytics
    Predicted the sales price range of comic books on a 5-figure scale by analyzing a dataset of 33 million records from the GoCollect platform in Python using TensorFlow.

Machine Learning Engineer in Computer Vision (Intern)

Welch Labs October 2018 - Present (Charlotte, NC)

  • Modular Algorithm Design

    Partnered with Microsoft & SpyGlass to reduce the false positive identification rate of defective windshields by 100% by implementing an ensemble of Convolutional SVMs and CNNs using OpenCV and Keras in Python.

  • Increased Savings
    Projected to save USD 1 million per quarter. Targeting to optimize the model to have an 8s response time during inference after deploying as an Azure Machine Learning Web Service (REST API).

Machine Learning Engineer (Intern)

Zuora June 2018 - August 2018 (San Francisco, CA)

  • Business Process Improvement
    Increased Zuora’s live support agent involvement by ~75% by building a Topic Modelling pipeline in Java and Python to correlate customer support tickets with internal knowledge base content.
  • Driving Customer Engagement
    Accelerated ticket response time by 90% by leveraging Machine Learning techniques to automate access validation to orgs in Zendesk.

Data Analyst (Graduate Research Assistant)

UNC Charlotte February 2018 - April 2019 (Charlotte, NC)

  • Data Analysis
    Increased faculty-department engagement by creating Tableau storyboards for executive show-and-tells by accurately visualizing and analysing complex student data. Predicted SLOs and retention rates using statistical methods in R.
  • Operational Process Automation
    Cut down data extraction time from 8 hours to less than 2 minutes by transitioning to an automated system by implementing data extraction & manipulation scripts in Python.

Application Development Analyst

Accenture April 2015 - July 2017 (Pune, India) SME & Specialist

  • Application Development & Maintenance
    Led the E2E delivery of an e-commerce platform for a leading client. Acted as the Lead Developer and Team Lead for the client’s first-ever implementation of a cloud-on-cloud model.
  • System Overhaul
    Facilitated complete overhaul of a Purchase Order flow by developing key delivery components. Augmented Sales Reps efficiency by 50% by deploying advanced automation processes via customization & configuration.

Software Developer

Prudencity January 2015 - April 2015 (Pune, India)

  • Full-Stack Developer with a comprehensive experience in Mobile Application Development.

Software Engineering Intern

Tata Research Development & Design Center July 2013 - April 2014 (Pune, India)

  • Intern for undergraduate final year project.
  • Designed and developed a web portal to manage & track the parcels sent between different offices of an organization.


The bars below describe my proficiency in the the skills that I have acquired during my experience in the industry and academic coursework.

  • Machine Learning
  • Deep Learning
  • Cloud Computing
  • Application Development
  • Database Management
  • API and Microservice Architecture
  • Software Design & Development
  • Business Intelligence
  • Google Analytics
  • Information Visualization


Deep Learning Specialization


Sequence Models


Convolutional Neural Networks


Structuring Machine Learning Projects


Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization


Neural Networks and Deep Learning


Spark and Python for Big Data with PySpark


Complete Guide to TensorFlow for Deep Learning with Python


Ensemble Machine Learning in Python: Random Forest, AdaBoost


Google Analytics for Beginners


Deep Learning Prerequisites: The Numpy Stack in Python


Splunk Certified Knowledge Manager


Salesforce Certified Platform Developer 1


Salesforce DEV 502 - (Integrating with


Salesforce Certified Administrator


Core Java Fundamentals

Seed Infotech Ltd.

The C & C++ Programming Languages