Nilesh Verma

Nilesh Verma

PhD Candidate & AI Developer

University of Waikato

About Me

I am a PhD candidate in Computer Science at the University of Waikato, New Zealand, specializing in AutoML for Data Streams under the Research and Enterprise Scholarship. As an experienced AI Developer, I have worked across multiple industries including AI communication platforms, SaaS solutions, automotive analytics, and natural language processing for regional languages.

My expertise spans the complete AI development lifecycle - from research and development to deployment of production systems. I have contributed to open-source projects, published research papers, and developed AI solutions for healthcare, finance, and telecommunications industries. My work includes voice cloning technologies, conversational AI, computer vision models, and scalable machine learning systems deployed on cloud platforms.

Download my resumé.

Interests
  • AutoML for Data Streams
  • Artificial Intelligence
  • Machine Learning
  • Natural Language Processing
  • Computer Vision
  • Data Science
Education
  • PhD in Computer Science (AutoML for Data Streams), 2023-present

    University of Waikato, New Zealand

  • M.Sc. Computer Science & Application (Gold Medalist), 2020

    Atal Bihari Vajpayee Vishwavidyalaya, India

  • B.Sc. Computer Science & Application (Gold Medalist), 2017

    Bilaspur University, India

Skills

Python

95%

Machine Learning

90%

Deep Learning

85%

NLP

88%

Computer Vision

80%

AWS Cloud

85%

Experience

 
 
 
 
 
AI Developer
Voip AI (Freelance)
Oct 2024 – Dec 2024 Auckland, New Zealand
  • Developed AI communication platform with conversational agents and voice cloning capabilities
  • Integrated AI system with Stripe payments and Twilio APIs
  • Deployed complete SaaS solution on Cloud with SMS, voice calling, and analytics dashboard
 
 
 
 
 
AI Developer (Part-Time)
Moana Digital Solutions
Nov 2023 – Aug 2024 Auckland, New Zealand
  • Developed AI micro SaaS products including APIs for grammar checking, text completion, and web search bots
  • Built comprehensive law AI Solution and AI Coach audio bot for voice interaction with LLM
  • Worked on Advanced RAG project utilizing LLM, ChatGPT APIs, and LangChain
 
 
 
 
 
Data Scientist
May 2022 – Jun 2023 Gurugram, India
  • Created end-to-end AI analytical applications on AWS Cloud for automotive industry
  • Extracted information from unstructured text data using NLP predictive modeling techniques
  • Developed, tested, and deployed information extraction and social media analysis pipelines
 
 
 
 
 
Data Scientist
Xceedance Inc
May 2021 – May 2022 Gurugram, India
  • Developed deep learning and machine learning models for NLP and computer vision tasks (BERT, YOLO)
  • Worked on data extraction from unstructured raw data (emails, PDFs, images) using AI and data mining
  • Deployed production-ready ML models and APIs
 
 
 
 
 
ML Developer
Ganani.ai
May 2020 – May 2021 Bangalore, India
  • Worked on speech/text analytics and created NLP models for regional languages (Hindi, Tamil, Marathi)
  • Built Conversation AI solution for multiple languages
  • Compared and deployed NLP models as APIs using different frameworks

Accomplish­ments

Research and Enterprise Scholarship
Awarded for PhD studies at University of Waikato
AppScript Hackathon - 3rd Place
3rd place in 48-Hours Hackathon conducted by IEEE APSIT
Data Sprint
1st rank in Electronic Products Pricing Hackathon
The Great Indian Hiring Hackathon - 1st Rank
1st rank in The Great Indian Hiring Hackathon - Retail Price Prediction
NTA-NET Qualified
Cleared NTA-NET exam on first attempt, eligible for assistant professor
M.Sc. Gold Medal
Gold Medalist for M.Sc. Computer Science with 88.95% marks
B.Sc. Gold Medal
Gold Medalist for B.Sc. Computer Science with 82.54% marks

Recent Publications

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(2025). Auto-Reg: A Dynamic AutoML Framework for Streaming Regression. PAKDD 2025.

Conference

(2025). ASML-REG: Automated Machine Learning for Data Stream Regression. ACM SAC 2025.

Conference

(2025). Bayesian Stream Tuner: Dynamic Hyperparameter Optimization for Real-Time Data Streams. KDD 2025.

Conference

(2024). ASML: A Scalable and Efficient AutoML Solution for Data Streams. AutoML 2024.

Conference

(2024). Design and Development of Machine Learning-Based Depression Identification Decision Support System. Machine Learning for Real World Applications.

(2023). Python Adventures: A Beginner's Guide for Young Coders. Amazon Kindle & Google Books.

Amazon Kindle Google Books

(2022). A device for the production of ethanol from lignocellulosic biomass. The German Patent and Trademark Office.

PDF Cite

(2021). Analyzing the Sentiments by Classifying the Tweets Based on COVID-19 Using Machine Learning Classifiers. 2021 IEEE International Conference on Technology, Research, and Innovation for Betterment of Society (TRIBES).

Cite DOI

(2021). Lexicon-based sentiment analysis using Twitter data - a case of COVID-19 outbreak in India and abroad. Data Science for COVID-19.

PDF Cite DOI

(2021). Deep Image Search - AI Based Image Search Engine. GitHub Repository.

GitHub

(2020). Classification of Pima Indian Diabetes Dataset using Decision Tree Techniques. IJSRD - International Journal for Scientific Research & Development.

PDF Cite