Adhish Thite

About Me

Welcome to the dynamic world of Adhish—your tech-savvy friend, musical enthusiast, and AI expert. Currently thriving as a Senior Machine Learning Engineer, I apply advanced AI and machine learning techniques to develop innovative solutions, enhancing business processes, security, and operational efficiency through insightful data analysis.

Famously known as 'Tech-nificent Adhish' among colleagues, I'm recognized for my deep understanding of technology and its transformative applications.

Beyond my tech prowess, I'm deeply passionate about music, finding joy in playing the flute and experimenting with my synthesizer. My love for music is paralleled by my interests in captivating TV shows and thought-provoking books.

Armed with a Master's Degree in Computer Science from UNC Charlotte, my professional domain spans Data Science, Machine Learning, Deep Learning, and Computer Vision. Passionate about the impact of Applied and Generative AI, I am committed to leveraging these technologies to create positive change, advancing lives and shaping an extraordinary future one innovative algorithm at a time.

Contact Details

Adhish Thite


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


Lead AI Engineer (Generative AI)

Elastic Co. February 2024 - Present (Pune, India)

  • Org-wide RAG Implementation

    Spearheading org-wide RAG development.

Senior Machine Learning Engineer

Synapse Financial Technologies Inc. December 2019 - February 2024 (San Francisco, CA)

  • Expedited KYC Process

    Developed an AI-driven ID verification system, reducing onboarding time from hours to seconds and streamlining the authentication of users' government-issued documents.
    Click here to learn more!

  • Innovative System Design

    Created a "Video Auth" solution using speech-to-text and facial recognition, validating users in under 20 seconds by comparing videos with their respective government-issued IDs.
    Click here to learn more!

  • Advanced Automation

    Designed an NLP and ML-based automation system to optimize due diligence procedures, assessing platform eligibility in just 15 seconds through web scraping, sentiment analysis, and industry categorization.

  • Enhanced Security

    Developed user-friendly products like Remote Deposit Capture, real-time SSN Verification, and Sanctions Monitoring, increasing compliance effectiveness by 2x by mitigating risks of fake accounts and fraudulent transactions.

  • System Scalability

    Rearchitected systems to seamlessly manage over a million requests per day through efficient caching, asynchronous processes, robust APIs, and optimized database implementation.

  • Global Expansion

    Enabled worldwide user onboarding by creating configurable modules seamlessly integrating with multiple local vendors, significantly broadening the platform's global reach.

  • "ID Score"

    Click here to learn more!

Data Scientist

Gemini Data Inc. May 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.

  • 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 99.95% 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